Name: Basic Data Analysis Course
Price: 20 GBP
Availability: InStock

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							<p><span>Data Analysis In Excel for School Administrators is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Data Analysis In Excel for School Administrators and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills.</span></p><p><span>Consisting of several modules, the course teaches you everything you need to succeed in this profession.</span></p><p><span>The course can be studied part-time. You can become accredited within 5 hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website.</span></p>						</div>
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			<h2> Why Choose Teachers Training
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			<p>Some of our features are:</p>		</div>
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										<span>Affordable price</span>
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										<span>Courses accredited by the UK's top awarding bodies</span>
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			<h2> Entry Requirements
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			<p>No formal entry requirements. You need to have:


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										<span>A good understanding of the English language</span>
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										<span>numeracy and IT</span>
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										<span>over the age of 16.</span>
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			<h2>Assessment</h2>		</div>
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							<p><span>The assessment is straightforward, you need to complete the assignment questions that will be provided to you at the end of the course, you can complete the assignment anytime you want. After you complete and submit your assignment, our tutors will assess your assignment and give you feedback if needed. </span></p><p><span>After your assignment has been assessed and you have passed, you will be qualified and will be able to apply for a course completion certificate.</span></p>						</div>
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			<h2>Certification</h2>		</div>
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							<p><b>CPD Certification from The Teachers Training</b></p><p>Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish.</p><ul><li>You can get your digital certificate (PDF) for £4.99 only</li><li>Hard copy certificates are also available, and you can get one for only £10.99</li><li>You can get both PDF and Hard copy certificates for just £12.99!</li></ul><p>The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs.</p>						</div>
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					<td colspan="4">Modifying a Worksheet</td>
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					<td>Insert, Delete, and Adjust Cells, Columns, and Rows</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
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					<td><i></i></td>
					<td>Search for and Replace Data</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
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					<td><i></i></td>
					<td>Use Proofing and Research Tools</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
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					<td colspan="4">Working with Lists</td>
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					<td>Sort Data</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
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					<td>Filter Data</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
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					<td>Query Data with Database Functions</td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td>Outline and Subtotal Data</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
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					<td colspan="4">Analyzing Data</td>
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					<td>Apply Intermediate Conditional Formatting</td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td>Apply Advanced Conditional Formatting</td>
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					<td><span><i></i> 00:06:00</span></td>
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					<td colspan="4">Visualizing Data with Charts</td>
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					<td>Create Charts</td>
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					<td><span><i></i> 00:13:00</span></td>
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					<td>Modify and Format Charts</td>
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					<td><span><i></i> 00:12:00</span></td>
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					<td>Use Advanced Chart Features</td>
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					<td><span><i></i> 00:13:00</span></td>
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					<td colspan="4">Using PivotTables and PivotCharts</td>
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					<td>Create a PivotTable</td>
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					<td><span><i></i> 00:13:00</span></td>
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					<td>Analyze PivotTable Data</td>
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					<td><span><i></i> 00:12:00</span></td>
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					<td>Present Data with PivotCharts</td>
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					<td><span><i></i> 00:08:00</span></td>
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					<td>Filter Data by Using Timelines and Slicers</td>
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					<td><span><i></i> 00:11:00</span></td>
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					<td colspan="4">Working with Multiple Worksheets and Workbooks</td>
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					<td>Use Links and External References</td>
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					<td><span><i></i> 00:12:00</span></td>
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					<td>Use 3-D References</td>
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					<td><span><i></i> 00:06:00</span></td>
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					<td>Consolidate Data</td>
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					<td><span><i></i> 00:06:00</span></td>
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					<td colspan="4">Using Lookup Functions and Formula Auditing</td>
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					<td>Use Lookup Functions</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
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					<td>Trace Cells</td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td>Watch and Evaluate Formulas</td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td colspan="4">Automating Workbook Functionality</td>
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					<td>Apply Data Validation</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
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					<td>Search for Invalid Data and Formulas with Errors</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
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					<td>Work with Macros</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
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					<td colspan="4">Creating Sparklines and Mapping Data</td>
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					<td>Create Sparklines</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
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					<td>MapData</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
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					<td colspan="4">Forecasting Data</td>
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					<td>Determine Potential Outcomes Using Data Tables</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
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					<td>Determine Potential Outcomes Using Scenarios</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
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					<td>Use the Goal Seek Feature</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
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					<td>Forecasting Data Trends</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
				</tbody></table>

The Teachers Training

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Excel Analytics

Data Analysis

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Data Analysis In Excel for School Administrators

General Admission

<p>Tired of browsing and searching for a <strong>Data Analysis and Data Science </strong> course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed.</p> <p>After surveying thousands of learners just like you and considering their valuable feedback, this all-in<strong>-</strong>one Data Analysis and Data Science bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Data Analysis and Data Science course that will enhance your skills and prepare you for the competitive job market.</p> <p>Also, our experts are available for answering your queries on Data Analysis and Data Science and help you along your learning journey. Advanced audio-visual learning modules of these Data Analysis and Data Science courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once.</p> <p>Furthermore, to help you showcase your expertise in Data Analysis and Data Science, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest.</p> <p><strong>This Data Analysis and Data Science Bundle Consists of the following Premium courses: </strong></p> <ul> <li><strong> </strong><strong>Course 01: </strong>Introduction to Data Analysis</li><li><strong> </strong><strong>Course 02: </strong>Python for Data Analysis</li><li><strong> </strong><strong>Course 03: </strong>Statistical Analysis</li><li><strong> </strong><strong>Course 04: </strong>SQL NoSQL Big Data and Hadoop</li><li><strong> </strong><strong>Course 05: </strong>Complete Microsoft Power BI 2021</li><li><strong> </strong><strong>Course 06: </strong>Data Analysis in Excel Level 3 Course</li><li><strong> </strong><strong>Course 07: </strong>Data Analytics with Tableau</li><li><strong> </strong><strong>Course 08: </strong>Basic Google Data Studio</li><li><strong> </strong><strong>Course 09: </strong>Business Analytics</li><li><strong> </strong><strong>Course 10: </strong>Complete Introduction to Business Data Analysis Level 3</li><li><strong> </strong><strong>Course 11: </strong>Business Intelligence and Data Mining Masterclass</li><li><strong> </strong><strong>Course 12: </strong>Research Methods in Business</li><li><strong> </strong><strong>Course 13: </strong>Computer Science: Graph Theory Algorithms</li><li><strong> </strong><strong>Course 14: </strong>Data Protection and Data Security Level 2</li></ul> <p>Enrol now in Data Analysis and Data Science to advance your career, and use the premium study materials from Apex Learning.</p> <p><strong>How will I get my Certificate?</strong></p> <p>After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p> <ul> <li><strong>PDF Certificate: Free (For The Title Course)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course)</strong></li></ul><p>The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analysis and Data Science expertise and essential knowledge, which will assist you in reaching your goal.</p> <p><strong>Curriculum of Bundle</strong></p> <p><strong> Course 01: Introduction to Data Analysis</strong></p> <ul> <li>Module 01: Introduction</li><li>Module 02: Agenda and Principles of Process Management</li><li>Module 03: The Voice of the Process</li><li>Module 04: Working as One Team for Improvement</li><li>Module 05: Exercise: The Voice of the Customer</li><li>Module 06: Tools for Data Analysis</li><li>Module 07: The Pareto Chart</li><li>Module 08: The Histogram</li><li>Module 09: The Run Chart</li><li>Module 10: Exercise: Presenting Performance Data</li><li>Module 11: Understanding Variation</li><li>Module 12: The Control Chart</li><li>Module 13: Control Chart Example</li><li>Module 14: Control Chart Special Cases</li><li>Module 15: Interpreting the Control Chart</li><li>Module 16: Control Chart Exercise</li><li>Module 17: Strategies to Deal with Variation</li><li>Module 18: Using Data to Drive Improvement</li><li>Module 19: A Structure for Performance Measurement</li><li>Module 20: Data Analysis Exercise</li><li>Module 21: Course Project</li><li>Module 22: Test your Understanding</li></ul> <p><strong> Course 02: Python for Data Analysis</strong></p> <ul> <li>Welcome, Course Introduction &amp; overview, and Environment set-up</li><li>Python Essentials</li><li>Python for Data Analysis using NumPy</li><li>Python for Data Analysis using Pandas</li><li>Python for Data Visualization using matplotlib</li><li>Python for Data Visualization using Seaborn</li><li>Python for Data Visualization using pandas</li><li>Python for interactive &amp; geographical plotting using Plotly and Cufflinks</li><li>Capstone Project - Python for Data Analysis &amp; Visualization</li><li>Python for Machine Learning (ML) - scikit-learn - Linear Regression Model</li><li>Python for Machine Learning - scikit-learn - Logistic Regression Model</li><li>Python for Machine Learning - scikit-learn - K Nearest Neighbors</li><li>Python for Machine Learning - scikit-learn - Decision Tree and Random Forests</li><li>Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs)</li><li>Python for Machine Learning - scikit-learn - K Means Clustering</li><li>Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA)</li><li>Recommender Systems with Python - (Additional Topic)</li><li>Python for Natural Language Processing (NLP) - NLTK - (Additional Topic)</li></ul> <p><strong> Course 03: Statistical Analysis</strong></p> <ul> <li>Module 01: The Realm of Statistics</li><li>Module 02: Basic Statistical Terms</li><li>Module 03: The Center of the Data</li><li>Module 04: Data Variability</li><li>Module 05: Binomial and Normal Distributions</li><li>Module 06: Introduction to Probability</li><li>Module 07: Estimates and Intervals</li><li>Module 08: Hypothesis Testing</li><li>Module 09: Regression Analysis</li><li>Module 10: Algorithms, Analytics and Predictions</li><li>Module 11: Learning From Experience: The Bayesian Way</li><li>Module 12: Doing Statistics: The Wrong Way</li><li>Module 13: How We Can Do Statistics Better</li></ul> <p><strong> Course 04: SQL NoSQL Big Data and Hadoop</strong></p> <ul> <li>Module 01: Introduction</li><li>Module 02: Relational Database Systems</li><li>Module 03: Database Classification</li><li>Module 04: Key-Value Store</li><li>Module 05: Document-Oriented Databases</li><li>Module 06: Search Engines</li><li>Module 07: Wide Column Store</li><li>Module 08: Time Series Databases</li><li>Module 09: Graph Databases</li><li>Module 10: Hadoop Platform</li><li>Module 11: Big Data SQL Engines</li><li>Module 12: Distributed Commit Log</li><li>Module 13: Summary</li></ul> <p><strong> Course 05: Complete Microsoft Power BI 2021</strong></p> <ul> <li>Module 01: Introduction</li><li>Module 02: Preparing our Project</li><li>Module 03: Data Transformation - The Query Editor</li><li>Module 04: Data Transformation - Advanced</li><li>Module 05: Creating a Data Model</li><li>Module 06: Data Visualization</li><li>Module 07: Power BI &amp; Python</li><li>Module 08: Storytelling with Data</li><li>Module 09: DAX - The Essentials</li><li>Module 10: DAX - The CALCULATE function</li><li>Module 11: Power BI Service - Power BI Cloud</li><li>Module 12: Row-Level Security</li><li>Module 13: More data sources</li><li>Module 14: Next steps to improve &amp; stay up to date</li></ul> <p><strong> Course 06: Data Analysis in Excel Level 3 Course</strong></p> <ul> <li>Modifying a Worksheet</li><li>Working with Lists</li><li>Analyzing Data</li><li>Visualizing Data with Charts</li><li>Using PivotTables and PivotCharts</li><li>Working with Multiple Worksheets and Workbooks</li><li>Using Lookup Functions and Formula Auditing</li><li>Automating Workbook Functionality</li><li>Creating Sparklines and Mapping Data</li><li>Forecasting Data</li></ul> <p><strong> Course 07: Data Analytics with Tableau</strong></p> <ul> <li>Module 01: Introduction to the Course</li><li>Module 02: Project 1: Discount Mart (Sales and Profit Analytics)</li><li>Module 03: Project 2: Green Destinations (HR Analytics)</li><li>Module 04: Project 3: Superstore (Sales Agent Tracker)</li><li>Module 05: Northwind Trade (Shipping Analytics)</li><li>Module 06: Project 5: Tesla (Stock Price Analytics)</li><li>Module 07: Bonus: Introduction to Database Concepts</li><li>Module 08: Tableau Stories</li></ul> <p><strong> Course 08: Basic Google Data Studio</strong></p> <ul> <li>Module 01: Introduction to GDS</li><li>Module 02: Data Visualization</li><li>Module 03: Geo-visualization</li><li>Module 04: A Socio-Economic Case Study</li></ul> <p><strong> Course 09: Business Analytics</strong></p> <ul> <li>Module 01: What is business analysis?</li><li>Module 02: Strategy analysis</li><li>Module 03: Collaboration</li><li>Module 04: Requirements analysis and Design definition</li><li>Module 05: Requirements lifecycle management</li><li>Module 06: Solution quality</li><li>Module 07: Stakeholder management</li><li>Module 08: BA Governance</li><li>Module 09: Legal notes and Copyright information</li></ul> <p><strong> Course 10: Complete Introduction to Business Data Analysis Level 3</strong></p> <ul> <li>Module 1: Statistics Fundamentals</li><li>Module 2: Data Analysis</li><li>Module 3: Probability</li><li>Module 4: Random Variables and Discrete Distributions</li><li>Module 5: Continuous Distributions</li><li>Module 6: Sampling Distributions</li><li>Module 7: Confidence Interval</li><li>Module 8: Hypothesis Testing with One Sample</li><li>Module 9: Hypothesis Testing with Two Samples</li><li>Module 10: The Chi-Square Distribution</li><li>Module 11: F Distribution and One-Way ANOVA</li><li>Module 12: Correlation analysis</li><li>Module 13: Simple Linear Regression Analysis</li></ul> <p><strong> Course 11: Business Intelligence and Data Mining Masterclass</strong></p> <ul> <li>Module 01: What is Business Intelligence?</li><li>Module 02: Starting Case in understanding BI needs in diff phase of business</li><li>Module 03: Decision Making Process and Need of IT systems</li><li>Module 04: Problem Structure and Decision Support System</li><li>Module 05: Introduction to BI Applications</li><li>Module 06: Dashboard presentation systems</li><li>Module 07: Different Types of Charts used in 131 Dashboards</li><li>Module 08: Good Dashboard and BSC</li><li>Module 09: Examples of Bad Dashboards 1</li><li>Module 10: Examples of Bad Dashboards 2</li></ul> <p>And much more...</p> <p><strong> Course 12: Research Methods in Business</strong></p> <ul> <li>Section 01: Applied Project &amp; Research Methods in Business</li><li>Section 02: Writing a Purpose / Quantitative and Qualitative Research Approaches</li><li>Section 03: Mixed Method Research Approaches, Ethical Considerations &amp; Writing</li><li>Effectively Written Methodology Part 3 !@@</li><li>Section 04: Writing Data Collection Tools, Qualitative &amp; Quantitative Data Analysis</li><li>Section 05: Comparing Findings to Literature and Writing the Final Paper</li></ul> <p><strong> Course 13: Computer Science: Graph Theory Algorithms</strong></p> <ul> <li>Module 00: Promo</li><li>Module 01: Introduction</li><li>Module 02: Common Problem</li><li>Module 03: Depth First Search</li><li>Module 04: Breadth First Search</li><li>Module 05: Breadth First Search Shortest Path on a Grid</li></ul> <p>And much more...</p> <p><strong> Course 14: Data Protection and Data Security Level 2</strong></p> <ul> <li>GDPR Basics</li><li>GDPR Explained</li><li>Lawful Basis for Preparation</li><li>Rights and Breaches</li><li>Responsibilities and Obligations</li></ul><h2>
        
        <div>CPD</div>
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                                        165 CPD hours / points
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                                            Accredited by CPD Quality Standards
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        <div>Who is this course for?</div>
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                             <p>Anyone from any background can enrol in this Data Analysis and Data Science bundle.</p> 
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        <div>Requirements</div>
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                             <p>Our Data Analysis and Data Science course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices.</p> 
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        <div>Career path</div>
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                             <p>Having this Data Analysis and Data Science expertise will increase the value of your CV and open you up to multiple job sectors.</p> 
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        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div> <p>You will get the PDF Certificate for the title course (<strong>Introduction to Data Analysis</strong>) absolutely Free! </p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course (<strong>Introduction to Data Analysis</strong>) absolutely Free! Other Hard Copy certificates are available for £10 each. </p> <p>Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Apex Learning

Data Analytics with Tableau

<p><strong>This </strong><strong>Diploma in Business Data Analysis at QLS Level 5</strong><strong> course is endorsed by The Quality Licence Scheme and accredited by CPDQS</strong><strong> (with 150 CPD points</strong><strong>)</strong><strong>to make your skill development &amp; career progression more accessible than ever!</strong></p><p>Are you looking to improve your current abilities or make a career move? If yes, our unique Business Data Analysis at QLS Level 5 course might help you get there! It is an expertly designed course which ensures you learn everything about the topic thoroughly. Expand your expertise with high-quality training from the Business Data Analysis at QLS Level 5 course.</p><p>Due to Business Data Analysis at QLS Level 5's massive demand in the competitive market, you can use our comprehensive course as a weapon to strengthen your knowledge and boost your career development. Learn Business Data Analysis at QLS Level 5 from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career.</p><p>The Business Data Analysis at QLS Level 5 course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the Business Data Analysis at QLS Level 5 course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this Business Data Analysis at QLS Level 5 course.</p><p>This Business Data Analysis at QLS Level 5 training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence!</p><p><strong>Why Prefer This Business Data Analysis at QLS Level 5 Course?</strong></p><ul><li>Opportunity to earn a certificate endorsed by <strong>the Quality Licence Scheme</strong> &amp; another accredited by <strong>CPDQS </strong>which is completely free.</li><li>Get a <strong>free student ID card!</strong> (£10 postal charge will be applicable for international delivery)</li><li>Innovative and engaging content.</li><li>Free assessments</li><li>24/7 tutor support.</li></ul> <p>Take a step toward a brighter future!</p><p><strong>*** Course Curriculum ***</strong></p><p>Here is the curriculum breakdown of the Business Data Analysis at QLS Level 5 course:</p><p><strong>Assessment Process</strong></p><p>You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment.</p><p>You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the <strong>Diploma in Business Data Analysis at QLS Level 5</strong> exams.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        150 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This Business Data Analysis at QLS Level 5 course is perfect for highly motivated people who want to improve their technical skills and prepare for the career they want!</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No prior background or expertise is required.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>The Business Data Analysis at QLS Level 5 course will boost your CV and aims to help you get the job or even the long-awaited promotion of your dreams.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPDQS Accredited Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Diploma in Business Data Analysis at QLS Level 5</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p><strong>Show off Your New Skills with a Certificate of Completion</strong></p><p>After successfully completing the <strong>Diploma in Business Data Analysis at QLS Level 5</strong>, you can order an original hardcopy certificate of achievement endorsed by <strong>the Quality Licence Scheme</strong> andalso you can order <strong>CPDQS</strong><strong>Accredited Certificate </strong>that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.</p> </div>

                        </div>

Academy for Health and Fitness

Business Data Analysis at QLS Level 5

<p>Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified<strong> Computer Programming and Data Analysis and Management</strong> bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our <strong>33</strong> course mega bundle that will exceed your expectations within your budget.</p> <p>The<strong> Computer Programming and Data Analysis and Management</strong> related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then <strong>StudyHub </strong>proposes a preparatory bundle. This comprehensive <strong> Computer Programming and Data Analysis and Management</strong> bundle will help you build a solid foundation to become a proficient worker in the sector.</p> <p><strong>This Computer Programming and Data Analysis and Management Bundle consists of the following</strong><strong> 30 </strong><strong>CPD Accredited Premium courses - </strong></p> <ul> <li>Course 01: C++ Development: The Complete Coding Guide</li><li>Course 02: Basic C# Coding</li><li>Course 03: Computer Vision: C++ and OpenCV with GPU support</li><li>Course 04: Python Basic Programming for Absolute Beginners</li><li>Course 05: Python Programming for Everybody</li><li>Course 06: Intermediate Python Coding</li><li>Course 07: Quick Data Science Approach from Scratch</li><li>Course 08: Root Cause Analysis</li><li>Course 09: Google Data Studio: Data Analytics</li><li>Course 10: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li>Course 11: Business Intelligence and Data Mining Masterclass</li><li>Course 12: Level 2 Microsoft Office Essentials</li><li>Course 13: SQL NoSQL Big Data and Hadoop</li><li>Course 14: Introduction to Data Analysis</li><li>Course 15: Data Science and Visualisation with Machine Learning</li><li>Course 16: Data Analytics with Tableau</li><li>Course 17: R Programming for Data Science</li><li>Course 18: Complete Google Analytics Course</li><li>Course 19: JavaScript Promises</li><li>Course 20: JavaScript Foundations for Everyone</li><li>Course 21: Javascript for Data Structures</li><li>Course 22: jQuery Masterclass Course: JavaScript and AJAX Coding Bible</li><li>Course 23: Microsoft SQL Server Development for Everyone</li><li>Course 24: SQL Programming Masterclass</li><li>Course 25: Level-3 Machine Learning Course with Python</li><li>Course 26: Learn to Use Python for Spatial Analysis in ArcGIS</li><li>Course 27: Microsoft Azure Machine Learning</li><li>Course 28: Javascript Programming for Beginners</li><li>Course 29: Basic Asynchronous JavaScript</li><li>Course 30: JavaScript Functions</li></ul> <p><strong>3 </strong><strong>Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques-</strong></p> <ul> <li>Course 01: Career Development Plan Fundamentals</li><li>Course 02: CV Writing and Job Searching</li><li>Course 03: Interview Skills: Ace the Interview</li></ul> <p><strong>Learning Outcome</strong></p> <p><strong>This tailor-made </strong><strong>Computer Programming and Data Analysis and Management</strong><strong> bundle will allow you to-</strong></p> <ul> <li>Uncover your skills and aptitudes to break new ground in the related fields</li><li>Deep dive into the fundamental knowledge</li><li>Acquire some hard and soft skills in this area</li><li>Gain some transferable skills to elevate your performance</li><li>Maintain good report with your clients and staff</li><li>Gain necessary office skills and be tech savvy utilising relevant software</li><li>Keep records of your work and make a report</li><li>Know the regulations around this area</li><li>Reinforce your career with specific knowledge of this field</li><li>Know your legal and ethical responsibility as a professional in the related field</li></ul> <p>This Computer Programming and Data Analysis and Management Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments.</p> <p><strong>Certification</strong></p> <p>After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and <strong>1 hardcopy certificate for the Title Course completely free</strong>. Other Hard Copy certificates need to be ordered at an additional cost of •8.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        330 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                             <p>Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Computer Programming and Data Analysis and Management bundle! This bundle is also ideal for professionals looking for career advancement.</p> 
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>To participate in this course, all you need is -</p> <ul> <li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in Computer Programming and Data Analysis and Management</li></ul> 
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.</p> 
                        </div>

Studyhub UK

Microsoft Certification

Computing Skills

Computing & Software Development Tools

Computer Programming

Computer Skills

Professional Skills Course (PSC)

Computer Programming and Data Analysis and Management

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Accelerate Your Data Analyst Career: Fast-Track Program with Exams, TOTUM Card &amp; 5-Year Support. Enrol Today!</p><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><div style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Study method</strong></div>Online</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Duration</strong></div>9 months <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&middot;</strong>&nbsp;Self-paced</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Access to content</strong></div>5 years</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Certifications</strong></div></div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">CompTIA IT Fundamentals Certification</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Certified Data Analysis Professional</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Microsoft Azure Data Fundamentals</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist Python</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist AI (Artificial Intelligence)</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist Databases</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Microsoft Office Specialist Excel Certification</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Microsoft Power BI Data Analyst Associate (PL-300)</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><br fr-original-style="" style="box-sizing: border-box;"></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Certificates</strong></div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Official CompTIA Certification - Free</li></ul></div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><br fr-original-style="" style="box-sizing: border-box;"></div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Additional info</strong></div><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Exam(s) / assessment(s) is included in price</li><li fr-original-style="" style="box-sizing: border-box;">Tutor is available to students</li><li fr-original-style="" style="box-sizing: border-box;">TOTUM card included in price</li><li fr-original-style="" style="box-sizing: border-box;">Job guarantee programme is included in this course</li></ul><div fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></div><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Overview</h2><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learn the most in-demand digital skills in the world today with the Nuyew Tech Academy</strong></strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">A Data and Business Intelligence Analyst gathers, cleans, and studies data sets to help solve problems.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Gain the job-ready skills for an entry-level Data and Business Intelligence Analyst role and position yourself competitively in the thriving job market for data and business analysts, which will see a 20% growth until 2028 and beyond.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Certifications</h2><h3 fr-original-style="" style="box-sizing: border-box;">CompTIA IT Fundamentals Certification</h3><h3 fr-original-style="" style="box-sizing: border-box;">Certified Data Analysis Professional</h3>Awarded by&nbsp;CompTIA<h3 fr-original-style="" style="box-sizing: border-box;">Microsoft Azure Data Fundamentals</h3><h3 fr-original-style="" style="box-sizing: border-box;">Microsoft Office Specialist Excel Certification</h3><h3 fr-original-style="" style="box-sizing: border-box;">Microsoft Power BI Data Analyst Associate (PL-300)</h3>Awarded by&nbsp;Microsoft<h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist Python</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist AI (Artificial Intelligence)</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist Databases</h3>Awarded by&nbsp;Pearson</section></section></section></section></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><br fr-original-style="" style="box-sizing: border-box;"></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><h2 fr-original-style="" style="box-sizing: border-box;">Description</h2><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">With a national shortage of&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data and Business Intelligence Analysts</strong>, starting salaries of up to &pound;25,000 per annum (average UK Salary &pound;60,000) and amazing future employed and self-employed career prospects, take the next step today with our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Fast Track Data and Business Intelligence Analyst&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Programme</strong>.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What you can expect from our Fast Track Programme:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">World Class Education</li><li fr-original-style="" style="box-sizing: border-box;">Energetic and unlimited 24/7 Student Support</li><li fr-original-style="" style="box-sizing: border-box;">Real, tangible Career Outcomes</li><li fr-original-style="" style="box-sizing: border-box;">5 Years Career Support</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What our programme includes:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Industry Recognised Qualifications</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">CompTIA ITF+ (IT Fundamentals)</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">CompTIA A+</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">CompTIA Network+</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">CompTIA Security+</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">CompTIA Data+</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Exams</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Includes all&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Exams</strong>&nbsp;and&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Unlimited Re-Sits</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">5 Years Career Support Guarantee</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">As part of our unique Support Guarantee, our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Career Support Team</strong>&nbsp;will assist you with:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">CV writing</li><li fr-original-style="" style="box-sizing: border-box;">Expert careers advice</li><li fr-original-style="" style="box-sizing: border-box;">Interview preparation</li><li fr-original-style="" style="box-sizing: border-box;">Identifying and applying for the best opportunities in your area</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">As a student in the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Nuyew Tech Academy</strong>&nbsp;you will also be given exclusive access to our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Career Skills Academy</strong>&nbsp;which includes advanced courses on Employability, CV Preparation, Interview Skills and Technique and everything else you need to get ready for your new Career.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Who is this course for?</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is open to anyone interested in pursuing a Career in Data Analytics and Business Intelligence. Our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Foundation Level</strong>&nbsp;provides the flexibility for us to accommodate students with any level of previous knowledge and experience.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Requirements</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is open to all and has no pre-requisites All you need is a passion for technology and a strong desire to succeed.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Career path</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our programme is designed to enable you to achieve an Entry Level/Helpdesk role during training (&pound;18k-&pound;24K) ensuring that you also have the vital work experience required to enter the Tech Industry at a higher level (Av Salary &pound;60K).</p></section></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><br fr-original-style="" style="box-sizing: border-box;"></section></section></section></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><br fr-original-style="" style="box-sizing: border-box;"></section></section></div>

NuYew Ltd

Certified Data Analyst Pathway with Career Guarantee

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Are you ready to embark on an enlightening journey of wisdom with the Data Analysis bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our bundle - <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis with SQL &amp; Tableau for Data Analytics</strong>.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Delve into eight immersive CPD Accredited courses, each a </strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">simple</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> course: </strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 1: </strong>Introduction to Data Analytics with Tableau<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 2: </strong>Big Data Analytics with PySpark Tableau Desktop and MongoDB<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 3: </strong>Big Data Analytics with PySpark Power BI and MongoDB<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 4: </strong>Google Data Studio: Data Analytics <br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 5: </strong>SQL for Data Science, Data Analytics and Data Visualization<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 6: </strong>Business Analysis Course Level 5<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 7: </strong>Financial Analysis<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 8: </strong>Data Analysis and Forecasting in Excel<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the Data Analysis with SQL &amp; Tableau for Data Analytics bundle illuminate your path to wisdom.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis with SQL &amp; Tableau for Data Analytics</strong> bundle offers a comprehensive exploration into a rich tapestry of vast knowledge across eight carefully curated courses. The journey is designed to enhance your understanding and critical thinking skills. Each course within the bundle provides a deep-dive into complex theories, principles, and frameworks, allowing you to delve into the nuances of the subject matter at your own pace.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In the framework of the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis with SQL &amp; Tableau for Data Analytics</strong> package, you are bestowed with complimentary PDF certificates for all the courses included in this bundle, all without any additional charge. Adorn yourself with the Data Analysis bundle, empowering you to traverse your career trajectory or personal growth journey with self-assurance. Register today and ignite the spark of your professional advancement!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">So, don&#39;t wait further and join the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis with SQL &amp; Tableau for Data Analytics</strong> community today and let your voyage of discovery begin!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Upon completion of the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis with SQL &amp; Tableau for Data Analytics</strong> Bundle, you will be able to:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Attain a holistic understanding in the designated areas of study with the Data Analysis bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Establish robust bases across each course nestled within the Data Analysis bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Decipher intricate concepts through the articulate content of the Data Analysis bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Amplify your prowess in interpreting, scrutinising, and implementing theories.</li><li fr-original-style="" style="box-sizing: border-box;">Procure the capacity to engage with the course material on an intellectual and profound level.</li><li fr-original-style="" style="box-sizing: border-box;">Become proficient in the art of problem-solving across various disciplines.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Stepping into the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis with SQL &amp; Tableau for Data Analytics</strong> bundle is akin to entering a world overflowing with deep theoretical wisdom. Each course within this distinctive bundle is an individual journey, meticulously crafted to untangle the complex web of theories, principles, and frameworks. Learners are inspired to explore, question, and absorb, thus enhancing their understanding and honing their critical thinking skills. Each course invites a personal and profoundly enlightening interaction with knowledge.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis</strong> bundle shines in its capacity to cater to a wide range of learning needs and lifestyles. It gives learners the freedom to learn at their own pace, forging a unique path of discovery. More than just an educational journey, the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis with SQL &amp; Tableau for Data Analytics</strong> bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Data Analysis bundle also illuminates the route to a rewarding career. The theoretical insight acquired through this bundle forms a strong foundation for various career opportunities, from academia and research to consultancy and programme management. The profound understanding fostered by the Data Analysis bundle allows learners to make meaningful contributions to their chosen fields. Embark on the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis</strong> journey and let knowledge guide you towards a brighter future.</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
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                                        80 CPD hours / points
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                                            Accredited by CPD Quality Standards
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        <div fr-original-style="" style="box-sizing: border-box;">Who is this course for?</div>
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                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Individuals keen on deepening their firm understanding in the respective fields.</li><li fr-original-style="" style="box-sizing: border-box;">Students pursuing higher education looking for comprehensive theory modules.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals seeking to refresh or enhance their knowledge.</li><li fr-original-style="" style="box-sizing: border-box;">Anyone with a thirst for knowledge and a passion for continuous learning.</li></ul>
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        <div fr-original-style="" style="box-sizing: border-box;">Requirements</div>
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                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Without any formal requirements, you can delightfully enrol in this <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis with SQL &amp; Tableau for Data Analytics</strong> Bundle.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
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                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Armed with the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis with SQL &amp; Tableau for Data Analytics</strong> bundle, your professional journey can reach new heights. The comprehensive theoretical knowledge from this bundle can unlock diverse career opportunities across several fields. Whether it&#39;s academic research, consultancy, or programme management, the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis</strong> bundle lays a solid groundwork.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
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                        <div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">CPD Certificate Of Completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">8 Digital Certificates Are Included With This Bundle</p></div>
        <h4 fr-original-style="" style="box-sizing: border-box;">CPD Quality Standard Hardcopy Certificate (FREE UK Delivery)</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            &pound;9.99
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Hardcopy Transcript: &pound;9.99</p></div>

                        </div>

NextGen Learning

Business Analytics & Intelligence

Data Engineering

Big Data Analytics

Data Science

Data Skills

Data Analysis with SQL & Tableau for Data Analytics - 8 Courses Bundle

Packt

PostgreSQL

This complete training program comprising levels 1 and 2 is divided into multi-sequential sections to let you gain comprehensive knowledge and understanding of SQL and data analysis. This two-level course is designed to kickstart your SQL knowledge and perform various data analysis tasks and implement SQL in projects independently and efficiently.

Master SQL for Data Analysis

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			<h4>Overview</h4>		</div>
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							<p><span>By enroling in Business Data Analysis, you can kickstart your vibrant career and strengthen your profound knowledge. You can learn everything you need to know about the topic.</span></p><p><span>The Business Data Analysis course includes all of the most recent information to keep you abreast of the employment market and prepare you for your future. The curriculum for this excellent Business Data Analysis course includes modules at all skill levels, from beginner to expert. You will have the productivity necessary to succeed in your organisation once you have completed our Business Data Analysis Program.</span></p><p><span>So enrol in our Business Data Analysis course right away if you're keen to envision yourself in a rewarding career.</span></p>						</div>
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							<p><span>Enroling in this Business Data Analysis course can improve your Business Data Analysis perspective, regardless of your skill levels in the Business Data Analysis topics you want to master. If you're already a Business Data Analysis expert, this peek under the hood will provide you with suggestions for accelerating your learning, including advanced Business Data Analysis insights that will help you make the most of your time. This Business Data Analysis course will act as a guide for you if you've ever wished to excel at Business Data Analysis.</span></p>						</div>
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										<span>Study for the course using any internet-connected device, such as a computer, tablet, or mobile device.</span>
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							<p>Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99.</p>						</div>
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							<p><span>This Business Data Analysis course is a great place to start if you're looking to start a new career in Business Data Analysis field. This training is for anyone interested in gaining in-demand Business Data Analysis proficiency to help launch a career or their business aptitude. </span></p>						</div>
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			<h4>Requirements</h4>		</div>
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							<p><span>The Business Data Analysis course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Business Data Analysis, without any fuss.</span></p>						</div>
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							<p><span>This Business Data Analysis training will assist you develop your Business Data Analysis ability, establish a personal brand, and present a portfolio of relevant talents. It will help you articulate a  Business Data Analysis professional story and personalise your path to a new career. Furthermore, developing this Business Data Analysis skillset can lead to numerous opportunities for high-paying jobs in a variety of fields.</span></p>						</div>
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			<h4>Order Your Certificate</h4>		</div>
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							<div><div><div><div id="1693981461.590199"><div><div><div><div><div><div><div><div><div><div><div>To order CPD Quality Standard Certificate, we kindly invite you to visit the following link:</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>						</div>
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	<span>Course Curriculum</span>
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					<td colspan="4">Module 01: Introduction to Business Analysis </td>
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					<td>Introduction to Business Analysis</td>
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					<td><span><i></i> 00:17:00</span></td>
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					<td colspan="4">Module 02: Business Environment </td>
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					<td>Business Environment</td>
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					<td><span><i></i> 00:19:00</span></td>
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					<td colspan="4">Module 03: Business Processes </td>
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					<td><span><i></i> 00:47:00</span></td>
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					<td colspan="4">Module 04: Business Analysis Planning and Monitoring </td>
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					<td><span><i></i> 00:30:00</span></td>
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					<td colspan="4">Module 05: Strategic Analysis and Product Scope </td>
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					<td><span><i></i> 00:31:00</span></td>
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					<td colspan="4">Module 06: Solution Evaluation </td>
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					<td><span><i></i> 00:27:00</span></td>
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					<td colspan="4">Module 07: Investigation Techniques </td>
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					<td><span><i></i> 00:48:00</span></td>
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					<td colspan="4">Module 08: Ratio Analysis </td>
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					<td><span><i></i> 00:29:00</span></td>
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					<td colspan="4">Module 09: Stakeholder Analysis and Management </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Stakeholder Analysis and Management</td>
					<td> </td>
					<td><span><i></i> 00:25:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 10: Process Improvement with Gap Analysis </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Process Improvement with Gap Analysis</td>
					<td> </td>
					<td><span><i></i> 00:28:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 11: Documenting and Managing Requirements </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Documenting and Managing Requirements</td>
					<td> </td>
					<td><span><i></i> 00:31:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 12: Business Development and Succession Planning </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Business Development and Succession Planning</td>
					<td> </td>
					<td><span><i></i> 00:27:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 13: Planning &amp; Forecasting Operations </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Planning &amp; Forecasting Operations</td>
					<td> </td>
					<td><span><i></i> 00:23:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 14: Business Writing Skills </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Business Writing Skills</td>
					<td> </td>
					<td><span><i></i> 00:39:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Order Your Certificate</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order Your Certificate</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
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				</tbody></table></div>

			</div>

Business Data Analysis Course

<p>Unleash the power of data with our <strong>Data Analysis in Excel</strong> course, where you'll journey through the realm of spreadsheet analysis and uncover the secrets hidden within your data. In today's data-driven world, the ability to navigate, interpret, and extract insights from data is a coveted skill. Whether you're a professional looking to enhance your analytical capabilities or a student aiming to excel in data-driven fields, this course empowers you to harness Excel's full potential for data analysis. From modifying worksheets to forecasting future trends, you'll master the art of data manipulation, visualization, and analysis with confidence and precision.</p>
<p><strong>Learning Outcomes</strong></p>
<ul>
<li>Master the art of modifying Excel worksheets to suit your data analysis needs.</li>
<li>Discover advanced data analysis techniques, including working with lists and lookup functions.</li>
<li>Create compelling data visualizations using charts, PivotTables, and PivotCharts.</li>
<li>Effortlessly manage multiple worksheets and workbooks, making data organization a breeze.</li>
<li>Apply data forecasting techniques and automate workbook functionality, saving time and boosting productivity.</li>
</ul>
<h3><b>Why choose this Data Analysis in Excel<span> course</span>?</b></h3>
<ol>
<li>Unlimited access to the course for a lifetime.</li>
<li>Opportunity to earn a certificate accredited by the <b>CPD Quality Standards</b> and <b>CIQ </b>after completing this course.</li>
<li>Structured lesson planning in line with industry standards.</li>
<li>Immerse yourself in innovative and captivating course materials and activities.</li>
<li>Assessments designed to evaluate advanced cognitive abilities and skill proficiency.</li>
<li>Flexibility to complete the Course at your own pace, on your own schedule.</li>
<li>Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.</li>
<li>Unlock career resources for CV improvement, interview readiness, and job success.</li>
</ol>
<h3><b>Who is this Data Analysis in Excel<span> </span></b><b><span>course </span></b><b>for?</b></h3>
<ul>
<li>Professionals seeking to enhance their data analysis skills.</li>
<li>Students preparing for careers in data-driven industries.</li>
<li>Analysts, researchers, and data enthusiasts eager to upskill.</li>
<li>Business professionals looking to make data-driven decisions.</li>
<li>Anyone interested in harnessing Excel for powerful data analysis.</li>
</ul>
<h3><b>Career path</b></h3>
<ul>
<li><strong>Data Analyst</strong>: £25,000 - £47,000</li>
<li><strong>Business Analyst</strong>: £26,000 - £50,000</li>
<li><strong>Financial Analyst</strong>: £26,000 - £56,000</li>
<li><strong>Market Research Analyst</strong>: £24,000 - £40,000</li>
<li><strong>Operations Analyst</strong>: £23,000 - £48,000</li>
<li><strong>Business Intelligence Analyst</strong>: £27,000 - £56,000</li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Data Analysis in Excel</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>Data Analysis in Excel</b><span> was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.</span></p>
<h3><b>Certification</b></h3>
<p><span>After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.</span></p><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Modifying a Worksheet</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Insert, Delete, and Adjust Cells, Columns, and Rows</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Search for and Replace Data</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Use Proofing and Research Tools</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Working with Lists</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sort Data</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Filter Data</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Query Data with Database Functions</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Outline and Subtotal Data</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Analyzing Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Apply Intermediate Conditional Formatting</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Apply Advanced Conditional Formatting</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Visualizing Data with Charts</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create Charts</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Modify and Format Charts</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Use Advanced Chart Features</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Using PivotTables and PivotCharts</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a PivotTable</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Analyze PivotTable Data</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Present Data with PivotCharts</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Filter Data by Using Timelines and Slicers</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Working with Multiple Worksheets and Workbooks</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Use Links and External References</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Use 3-D References</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Consolidate Data</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Using Lookup Functions and Formula Auditing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Use Lookup Functions</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Trace Cells</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Watch and Evaluate Formulas</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Automating Workbook Functionality</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Apply Data Validation</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Search for Invalid Data and Formulas with Errors</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Work with Macros</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Creating Sparklines and Mapping Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create Sparklines</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>MapData</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Forecasting Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Determine Potential Outcomes Using Data Tables</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Determine Potential Outcomes Using Scenarios</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Use the Goal Seek Feature</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Forecasting Data Trends</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Recommended Materials</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Workbook - Data Analysis in Excel</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Assignment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Data Analysis in Excel</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Online Course Marketing

Microsoft Excel

Data Analysis in Excel

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			<h4>Overview</h4>		</div>
				</div>
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		<div>
				<div>
				<div>
							<p><span>By enroling in Basic Data Analysis, you can kickstart your vibrant career and strengthen your profound knowledge. You can learn everything you need to know about the topic.</span></p><p><span>The Basic Data Analysis course includes all of the most recent information to keep you abreast of the employment market and prepare you for your future. The curriculum for this excellent Basic Data Analysis course includes modules at all skill levels, from beginner to expert. You will have the productivity necessary to succeed in your organisation once you have completed our Basic Data Analysis Program.</span></p><p><span>So enrol in our Basic Data Analysis course right away if you're keen to envision yourself in a rewarding career.</span></p>						</div>
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			<h4>Description</h4>		</div>
				</div>
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							<p><span>Enroling in this Basic Data Analysis course can improve your Basic Data Analysis perspective, regardless of your skill levels in the Basic Data Analysis topics you want to master. If you're already a Basic Data Analysis expert, this peek under the hood will provide you with suggestions for accelerating your learning, including advanced Basic Data Analysis insights that will help you make the most of your time. This Basic Data Analysis course will act as a guide for you if you've ever wished to excel at Basic Data Analysis.</span></p>						</div>
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			<h4>Why Choose Us?</h4>		</div>
				</div>
				</div>
		<div>
				<div>
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					<ul>
							<li>
											<span>
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										<span>This course is accredited by the CPD Quality Standards.</span>
									</li>
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										<span>Lifetime access to the whole collection of the learning materials.</span>
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										<span>Online test with immediate results.</span>
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										<span>Enroling in the course has no additional cost.</span>
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										<span>You can study and complete the course at your own pace.</span>
									</li>
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										<span>Study for the course using any internet-connected device, such as a computer, tablet, or mobile device.</span>
									</li>
						</ul>
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			<h4>Will I Receive A Certificate Of Completion?</h4>		</div>
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				<div>
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							<p>Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99.</p>						</div>
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			<h4>Who Is This Course For?</h4>		</div>
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							<p><span>This Basic Data Analysis course is a great place to start if you're looking to start a new career in Basic Data Analysis field. This training is for anyone interested in gaining in-demand Basic Data Analysis proficiency to help launch a career or their business aptitude. </span></p>						</div>
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			<h4>Requirements</h4>		</div>
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							<p><span>The Basic Data Analysis course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Basic Data Analysis, without any fuss.</span></p>						</div>
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			<h4>Career Path</h4>		</div>
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							<p><span>This Basic Data Analysis training will assist you develop your Basic Data Analysis ability, establish a personal brand, and present a portfolio of relevant talents. It will help you articulate a  Basic Data Analysis professional story and personalise your path to a new career. Furthermore, developing this Basic Data Analysis skillset can lead to numerous opportunities for high-paying jobs in a variety of fields.</span></p>						</div>
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			<h4>Order Your Certificate</h4>		</div>
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							<div><div><div><div id="1693981461.590199"><div><div><div><div><div><div><div><div><div><div><div>To order CPD Quality Standard Certificate, we kindly invite you to visit the following link:</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>						</div>
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				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table>				<tbody><tr>
					<td colspan="4">Basic Data Analysis</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Introduction</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
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					<td><i></i></td>
					<td>Module 02: Agenda and Principles of Process Management</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
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					<td><i></i></td>
					<td>Module 03: The Voice of the Process</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
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					<td>Module 04: Working as One Team for Improvement</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
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					<td>Module 05: Exercise: The Voice of the Customer</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
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					<td>Module 06: Tools for Data Analysis</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
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					<td>Module 07: The Pareto Chart</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
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					<td>Module 08: The Histogram</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
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					<td><i></i></td>
					<td>Module 09: The Run Chart</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 10: Exercise: Presenting Performance Data</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 11: Understanding Variation</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 12: The Control Chart</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 13: Control Chart Example</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 14: Control Chart Special Cases</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 15: Interpreting the Control Chart</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 16: Control Chart Exercise</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 17: Strategies to Deal with Variation</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 18: Using Data to Drive Improvement</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 19: A Structure for Performance Measurement</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 20: Data Analysis Exercise</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 21: Course Project</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 22: Test your Understanding</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Assignment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Basic Data Analysis</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Order Your Certificate</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order Your Certificate</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Basic Data Analysis Course

<h2 id="isPasted" fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This advanced financial modelling course will benefit Real Estate Professionals looking to develop their financial modelling skills to the next level. This course is intended to the most ambitious modellers in the property industry who would like to be fully proficient in building complex real estate models.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">On this course you will...</strong></strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" fr-original-style="" style="box-sizing: border-box;">Understand how the application and use of Structured Finance products in Real Estate</li><li value="2" fr-original-style="" style="box-sizing: border-box;">Learn how to introduce several tranches of debt in a development project</li><li value="3" fr-original-style="" style="box-sizing: border-box;">Understand how to model different parties to a project</li><li value="4" fr-original-style="" style="box-sizing: border-box;">Create Joint Venture structures between Developers, Lenders and Equity Partners</li><li value="5" fr-original-style="" style="box-sizing: border-box;">Learn advanced modelling techniques to analyse underlying asset risk</li><li value="6" fr-original-style="" style="box-sizing: border-box;">Understand how underlying asset risk impacts return to all parties to a project</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Who will benefit from this course?</strong></strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" fr-original-style="" style="box-sizing: border-box;">Real Estate professionals from a mid to senior level with exposure to Real Estate financial models</li><li value="2" fr-original-style="" style="box-sizing: border-box;">Mid-level to senior Real Estate Analysts who would like to advance their financial modelling skills in areas such as development, portfolio analysis, and risk analysis</li><li value="3" fr-original-style="" style="box-sizing: border-box;">Real Estate Investors who would like to expand their knowledge and understanding of Real Estate cash flow models to an advanced level</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course Outline</strong></strong>:</p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" fr-original-style="" style="box-sizing: border-box;">Mezzanine debt modelling</li><li value="2" fr-original-style="" style="box-sizing: border-box;">Joint Venture structures between developers and lender/equity partners</li><li value="3" fr-original-style="" style="box-sizing: border-box;">Promote and profit share structure calculations</li><li value="4" fr-original-style="" style="box-sizing: border-box;">Advanced project cash flows with mezzanine debts</li><li value="5" fr-original-style="" style="box-sizing: border-box;">Key Real Estate and investment risks, risk adjustment of exit yields</li><li value="6" fr-original-style="" style="box-sizing: border-box;">Sensitivity and Scenario Analysis</li><li value="7" fr-original-style="" style="box-sizing: border-box;">Monte Carlo Analysis</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Included in the Course</strong></strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" fr-original-style="" style="box-sizing: border-box;">CPD Accredited Certificate &amp; LinkedIn Proficiency Badge</li><li value="2" id="isPasted" fr-original-style="" style="box-sizing: border-box;">Course Manual - In-Person Course attendees will receive a Physical Copy, Virtual Course attendees will receive a Virtual Copy and have the option to purchase a Hard Copy at an additional fee</li><li value="3" fr-original-style="" style="box-sizing: border-box;">Course Files</li><li value="4" fr-original-style="" style="box-sizing: border-box;">Online Learning Platform access - Further Learning Resources (Reading, Files and Videos)</li><li value="5" fr-original-style="" style="box-sizing: border-box;">Post Course Support - Two Months of Questions &amp; Answers, and One year of support is available for an additional fee</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For more information about the Real Estate Modelling Masterclass such as course delivery methods, pricing and dates, please contact Sam on the Bayfield Training Sales team:</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">E - s.musgrave@bayfieldtraining.com</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">T - 01223 517851</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">W - <a href="https://www.bayfieldtraining.com/" target="_blank" rel="nofollow noopener noreferrer ugc" title="https://www.bayfieldtraining.com/" data-airgap-id="125" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">www.bayfieldtraining.com</a></p>



This advanced financial modelling course will benefit Real Estate Professionals looking to develop their financial modelling skills to the next level. This course is intended to the most ambitious modellers in the property industry who would like to be fully proficient in building complex real estate models.


On this course you will...
Understand how the application and use of Structured Finance products in Real Estate
Learn how to introduce several tranches of debt in a development project
Understand how to model different parties to a project
Create Joint Venture structures between Developers, Lenders and Equity Partners
Learn advanced modelling techniques to analyse underlying asset risk
Understand how underlying asset risk impacts return to all parties to a project


Who will benefit from this course?
Real Estate professionals from a mid to senior level with exposure to Real Estate financial models
Mid-level to senior Real Estate Analysts who would like to advance their financial modelling skills in areas such as development, portfolio analysis, and risk analysis
Real Estate Investors who would like to expand their knowledge and understanding of Real Estate cash flow models to an advanced level


Course Outline:
Mezzanine debt modelling
Joint Venture structures between developers and lender/equity partners
Promote and profit share structure calculations
Advanced project cash flows with mezzanine debts
Key Real Estate and investment risks, risk adjustment of exit yields
Sensitivity and Scenario Analysis
Monte Carlo Analysis


Included in the Course
CPD Accredited Certificate & LinkedIn Proficiency Badge
Course Manual - In-Person Course attendees will receive a Physical Copy, Virtual Course attendees will receive a Virtual Copy and have the option to purchase a Hard Copy at an additional fee
Course Files
Online Learning Platform access - Further Learning Resources (Reading, Files and Videos)
Post Course Support - Two Months of Questions & Answers, and One year of support is available for an additional fee


For more information about the Real Estate Modelling Masterclass such as course delivery methods, pricing and dates, please contact Sam on the Bayfield Training Sales team:
E - s.musgrave@bayfieldtraining.com
T - 01223 517851
W - www.bayfieldtraining.com

Bayfield Training

Financial Modelling & Analysis

Real Estate Finance

Financial Modelling

Professional Development

Investment Management

Continuous Professional Development (CPD)

This course is intended to the most ambitious modellers in the property industry who would like to be fully proficient in building complex real estate models.

Real Estate Modelling Masterclass (Advanced Cash Flow Modelling)

<p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Real Estate Investments are unique in that they generate both rental income and capital appreciation, making cash flow modelling an essential tool for Real Estate Investors, Lenders, and Analysts.</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">On this course, we will use case studies to enhance the delegates understanding of Real Estate financial appraisals, and help them fully appreciate the theory behind the numbers. We will cover topics such as discounting, compounding, forecasting rental income and expenses, calculating net operating income (NOI), factoring in capital expenditures, modelling debt service, and determining the internal rate of return (IRR).</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">This course will provide you with a solid foundation for understanding and analysing real estate cash flows.</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">On this course you will...</strong></span></p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Study the financial concepts of compounding, discounting and in-perpetuity</li><li value="2" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Consider the importance of the timing and uncertainty of both fixed and growing income streams</li><li value="3" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Contrast different property yield metrics</li><li value="4" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Build-up risk premiums for discount rates, discuss the importance of liquidity, transparency and volatility</li><li value="5" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Compare and contrast time and money-weighted measures of return</li><li value="6" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Learn about valuation principles</li><li value="7" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Contrast value and worth</li><li value="8" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Discuss the importance and sourcing of inputs and outputs</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Who will benefit from this course?</strong></span></p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Professional Real Estate Transaction Managers</li><li value="2" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Asset Managers</li><li value="3" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Portfolio Managers</li><li value="4" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Recent graduates with exposure to real estate financial modelling</li><li value="5" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">New employees with exposure to real estate financial modelling</li><li value="6" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">People working in Argus, Anaplan or any commercial real estate software and would like to understand financial modelling key principles.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course Outline</strong>:</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Morning</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Real Estate Financial Mathematics</span></p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Time Value of Money</li><li value="2" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Net Present Value (NPV)</li><li value="3" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Internal Rate of Return (IRR)</li><li value="4" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Growth</li><li value="5" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">What Discount Rate?</li><li value="6" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Certainty of a cash flow</li><li value="7" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Liquidity</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Price, Value and Worth</span></p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Comparing Price, Value and Worth</li><li value="2" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Conventional Valuation Methods</li><li value="3" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Term and Reversion, Layer Method</li><li value="4" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Property Yields and Capitalisation Method</li><li value="5" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Exit calculations across Europe</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Afternoon</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Discounted Cash Flow Models</span></p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Investment Appraisal Models</li><li value="2" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Cash flow inputs: Rents, Yields, Growth Rates, Target Returns</li><li value="3" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Cash-on-Cash and Equity Multiple</li><li value="4" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Discount Rates &amp; Exit Cap Rate</li><li value="5" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Operating Assumptions</li><li value="6" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Adding borrowing and analysing geared returns</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Model Interpretation and Analysis</span></p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Sensitivity analysis and scenario analysis</li><li value="2" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Growth and inflation</li><li value="3" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Performance measures</li><li value="4" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Contemporary issues for analysis (such as the rise in interest rates)</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Quizzes | Q&amp;A</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Included in the Course</strong></span></p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">A Bayfield Training Certificate &amp; 7.5 CPD Hours</li><li value="2" style="font-size: 16px; box-sizing: border-box;" id="isPasted" fr-original-style="font-size: 16px;">Course Manual - In-Person Course attendees will receive a Physical Copy, Virtual Course attendees will receive a Virtual Copy and have the option to purchase a Hard Copy at an additional fee</li><li value="3" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Course Files</li><li value="4" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Online Learning Platform access - Further Learning Resources (Reading, Files and Videos)</li><li value="5" style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Post Course Support - Two Months of Questions &amp; Answers, and One year of support is available for an additional fee</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For more information about the Understanding Key Principles of Real Estate Financial Modelling such as course delivery methods, pricing and dates, please contact Sam on the Bayfield Training Sales team:</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">E - s.musgrave@bayfieldtraining.com</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">T - 01223 517851</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">W - <a href="https://www.bayfieldtraining.com/" target="_blank" rel="nofollow noopener noreferrer ugc" title="https://www.bayfieldtraining.com/" data-airgap-id="125" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">www.bayfieldtraining.com</a></p>



Real Estate Investments are unique in that they generate both rental income and capital appreciation, making cash flow modelling an essential tool for Real Estate Investors, Lenders, and Analysts.
On this course, we will use case studies to enhance the delegates understanding of Real Estate financial appraisals, and help them fully appreciate the theory behind the numbers. We will cover topics such as discounting, compounding, forecasting rental income and expenses, calculating net operating income (NOI), factoring in capital expenditures, modelling debt service, and determining the internal rate of return (IRR).
This course will provide you with a solid foundation for understanding and analysing real estate cash flows.


On this course you will...
Study the financial concepts of compounding, discounting and in-perpetuity
Consider the importance of the timing and uncertainty of both fixed and growing income streams
Contrast different property yield metrics
Build-up risk premiums for discount rates, discuss the importance of liquidity, transparency and volatility
Compare and contrast time and money-weighted measures of return
Learn about valuation principles
Contrast value and worth
Discuss the importance and sourcing of inputs and outputs


Who will benefit from this course?
Professional Real Estate Transaction Managers
Asset Managers
Portfolio Managers
Recent graduates with exposure to real estate financial modelling
New employees with exposure to real estate financial modelling
People working in Argus, Anaplan or any commercial real estate software and would like to understand financial modelling key principles.


Course Outline:
Morning
Real Estate Financial Mathematics
Time Value of Money
Net Present Value (NPV)
Internal Rate of Return (IRR)
Growth
What Discount Rate?
Certainty of a cash flow
Liquidity
Price, Value and Worth
Comparing Price, Value and Worth
Conventional Valuation Methods
Term and Reversion, Layer Method
Property Yields and Capitalisation Method
Exit calculations across Europe


Afternoon
Discounted Cash Flow Models
Investment Appraisal Models
Cash flow inputs: Rents, Yields, Growth Rates, Target Returns
Cash-on-Cash and Equity Multiple
Discount Rates & Exit Cap Rate
Operating Assumptions
Adding borrowing and analysing geared returns
Model Interpretation and Analysis
Sensitivity analysis and scenario analysis
Growth and inflation
Performance measures
Contemporary issues for analysis (such as the rise in interest rates)


Quizzes | Q&A


Included in the Course
A Bayfield Training Certificate & 7.5 CPD Hours
Course Manual - In-Person Course attendees will receive a Physical Copy, Virtual Course attendees will receive a Virtual Copy and have the option to purchase a Hard Copy at an additional fee
Course Files
Online Learning Platform access - Further Learning Resources (Reading, Files and Videos)
Post Course Support - Two Months of Questions & Answers, and One year of support is available for an additional fee


For more information about the Understanding Key Principles of Real Estate Financial Modelling such as course delivery methods, pricing and dates, please contact Sam on the Bayfield Training Sales team:
E - s.musgrave@bayfieldtraining.com
T - 01223 517851
W - www.bayfieldtraining.com

Property Investment

Risk Management

Investment

Financial Risk Management

On this course, we will use case studies to enhance the delegates understanding of Real Estate financial appraisals, and help them fully appreciate the theory behind the numbers. 

Understanding Key Principles of Real Estate Modelling (Advanced Theoretical Course)



Bayfield Training and the University of Cambridge Department of Land Economy
This prestigious eight-week online Real Estate course is suitable for modellers new to Real Estate and experienced Real Estate Analysts looking to formalise their skill set. This course will equip you with skills to start building your own financial models and the certificate will give your employers and colleagues reassurance of your expertise.
If you want to enhance your financial modelling skills over an extended period, the Real Estate Financial Modelling Certificate is the course for you.
This online real estate course has been put together exclusively for the Real Estate Financial Modelling certificate, using state of the art digital resources such as animations, video-steps, digital whiteboard and video-interactions as well as the spreadsheets, text based resources and tutor contact you would expect from any of Bayfield Training’s classroom based courses.
 Assessment is in the form of a guided model build exercise and written model appraisal. Participants benefit from an additional months access to the course platform after submission of the assessment.


On this course you will:
Become a competent model builder, building Real Estate Financial Models from scratch
Learn tricks and concepts from financial modelling experts with decades of experience in practice and academia
Learn how to use Real Estate Financial Models to make informed investment decisions
Learn at a consistent pace over 8 weeks allowing you to take the time to fully grasp this important skill
This course is suitable for:
Chartered Surveyors
Asset Managers
Financial Controllers
Financial Analysts
Investment Managers
Property Managers
Real Estate Students/Recent Graduates
Course Outline:
Module 1 - Economic Context
Introduction to Real Estate Asset Modelling and how it relates to and is distinct from Econometric Models.
Introduction to Real Estate Asset Modelling and how it relates to and is distinct from Econometric Models.
Why Real Estate Asset Modelling is important
Understanding the occupier, asset and development markets and the relevant modelling approaches for each
Real Estate Sub-Sector Key Performance Indicators
Introduction to conventional valuations and financial mathematics
Understanding and minimising errors in Financial Models


Module 2 - Cash Flow Fundamentals
Constructing a financial model from first principles.
Understanding all the components of a basic cash flow model
Understand why Corporate Finance Models and Real Estate Models are different
Financial Model Design
Making the link between valuations, income mathematics and discounted cash flows
Internal Rate of Return, Net Present Value,Worth and other metrics
Features and techniques to aid fast model building


Module 3 - Developing the Cash Flow
Adapting financial models for different periodicities and building rent functions for different rent behaviour.
Understanding how leases vary with respect to rent over time: Rent Reviews, Break Clauses, Rent Free Periods, Lease Expiries etc.
Developing the concept of a Rent Function in Excel
Logic mathematics and Logic functions
Projecting rent to adapt to different lease contracts and growth patterns
Alternative solutions to Logic functions
Comparative analysis of lease structures in different jurisdictions and adapting financial models


Module 4 - Real Estate Data
Understanding the different sources of data, constructing basic time series models and recognising basic patterns.
Key Property market indicators
Characteristics and application of key input metrics for Real Estate Appraisals
Understanding the eight components of Real Estate Price Dynamics
Awareness of the different sources of data
Reading and using general property market reports
Constructing basic time series models and recognising basic patterns


Module 5 - Development Appraisals
Constructing a development appraisal from first principles and understanding development return metrics.
Understanding the key components of a development project
Understanding the difference between development and investment appraisals
Residual Appraisals and Profit Calculations
Cost orientated cash flows and phased sales
Cumulative construction cost patterns: incidental, fixed, loaded and S-curve
Development return metrics and Modified IRRs


Module 6 - Multi-let Cash Flows
Constructing an advanced multi-let cash flow model and learn different techniques to build flexible rent functions.
Multi-let and portfolio model design principles
Building complex date functions and date series
The three multi-let rent projection techniques
Perpendicular Rent Functions
Incorporate advanced rent adjustments into the Rent Function
Incorporate sector and period varying rental growth rates
Simplifying OPEX and CAPEX projections
Discounting techniques on complex and volatile cash flows


Module 7 - Project Finance
Constructing a flexible Real Estate Debt Finance model.
Revision of the Mathematics of amortisation and debt finance
Basic senior debt models and geared net cash flow
LTV, IRR and Interest Rate Dynamics
Flexible term, repayment options and deferred interest
Loan covenant tests
Understanding different tranches of debt
Understanding how complex debt structures impact the returns to different parties


Module 8 - Model Interpretation and Risk Analysis
Learn how to read, analyse and report on real estate financial models.
Understand how to read models and develop an investment narrative
Visualise model outputs using graph functions, conditional formatting, dynamic symbols and dashboards
Learn how to use built-in Sensitivity, Scenario Analysis tools and third-party add-ins
Learn how to construct varied project scenarios in a systematic way
Introduction to Monte Carlo Analysis and VBA
Optimising sale dates and other parameters
Create well written, attractive and persuasive reports


Included in the Course
Bayfield Training and University of Cambridge Accredited Certificate & LinkedIn Proficiency Badge
64 CPD Hours
1 Month Post-Course Access to the Digital Platform - 12 Months Post-Course Access to the Platform can be purchased for an additional fee
Course Files
Q&A Webinars and Guest Speaker Webinars
Further Learning Resources (Reading, Files and Videos)
Post Course Support - Two Months of Questions & Answers


2024 Cohort Dates Include:
3rd June to 29th July
5th August to 25th September 2024
30th September to 25th November


For more information, please contact Sam on the Bayfield Training Sales team:
E - s.musgrave@bayfieldtraining.com
T - 01223 517851
W - www.bayfieldtraining.com

University of Cambridge & Bayfield Training - Real Estate Financial Modelling Certificate (Online Self-Study)

<p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(111, 114, 135);">Are you looking to enter the dynamic world of real estate?</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">Our course is designed to equip you with the knowledge and tools you need to communicate effectively with real estate professionals and develop key skills in real estate investment strategy and analytics.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(111, 114, 135);">At the end of the course, you&#39;ll be able to read and interpret real estate market reports, and have a firm grasp of how iconic buildings, cities, and companies fit into the overall picture of the real estate sector.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(111, 114, 135);"><br fr-original-style="" style="box-sizing: border-box;"></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">On this course, you will&hellip;</strong></strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">Become familiar with the players, structure, general terminology and overall needs of Real Estate.</li><li fr-original-style="" style="box-sizing: border-box;">Learn what is Real Estate and why it is different from other asset classes</li><li fr-original-style="" style="box-sizing: border-box;">Get to grips with the overall size and structure of the UK Real Estate Market</li><li fr-original-style="" style="box-sizing: border-box;">Learn and analyse the links between the different parts of the property market</li><li fr-original-style="" style="box-sizing: border-box;">Understand who works in the Real Estate Market, their qualifications and their job descriptions</li><li fr-original-style="" style="box-sizing: border-box;">Recognise how and when to use basic real estate concepts: Rent, Value, Yield, Risk and Return, etc&hellip;</li><li fr-original-style="" style="box-sizing: border-box;">Learn how to read a real estate market report</li><li fr-original-style="" style="box-sizing: border-box;">Understand how current affairs, politics and economics affects Real Estate Investment</li><li fr-original-style="" style="box-sizing: border-box;">Use household names and iconic companies, cities and buildings to help consolidate your appreciation of this exciting sector</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><br fr-original-style="" style="box-sizing: border-box;"></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Who will benefit from this course:</strong></strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">Graduates or undergraduates studying economics, finance.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals working in Marketing or Accounting teams within Real Estate firms.</li><li fr-original-style="" style="box-sizing: border-box;">APC students.</li><li fr-original-style="" style="box-sizing: border-box;">Anyone interested in Real Estate.</li><li fr-original-style="" style="box-sizing: border-box;">School leavers/A-Level Students looking to gain an understanding of Real Estate.</li><li fr-original-style="" style="box-sizing: border-box;">Non cognate students who wish to transfer into Real Estate/Finance careers.</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><br fr-original-style="" style="box-sizing: border-box;"></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course Outline</strong></strong></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><em fr-original-style="" style="box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;">Module 1: What is and why buy Real Estate?</em></em></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">The property Market</li><li fr-original-style="" style="box-sizing: border-box;">The Size and Structure of the UK property market</li><li fr-original-style="" style="box-sizing: border-box;">The impact of Real Estate in the Economy</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><br fr-original-style="" style="box-sizing: border-box;"></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><em fr-original-style="" style="box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;">Module 2: The Real Estate Market System</em></em></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">The Space Market</li><li fr-original-style="" style="box-sizing: border-box;">The Asset Market</li><li fr-original-style="" style="box-sizing: border-box;">The Development Market</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><br fr-original-style="" style="box-sizing: border-box;"></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><em fr-original-style="" style="box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;">Module 3: How to value Real Estate</em></em></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">An Introduction to Financial Mathematics</li><li fr-original-style="" style="box-sizing: border-box;">The difference between Price, Value and Worth</li><li fr-original-style="" style="box-sizing: border-box;">Property Yield</li><li fr-original-style="" style="box-sizing: border-box;">Conventional Valuation Methods</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><br fr-original-style="" style="box-sizing: border-box;"></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><em fr-original-style="" style="box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;">Module 4: How to read a Real Estate Market Report</em></em></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">Property Market Indicators: Stock Indicators</li><li fr-original-style="" style="box-sizing: border-box;">Property Market Indicators: Investment Indicators</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><br fr-original-style="" style="box-sizing: border-box;"></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><em fr-original-style="" style="box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;">Module 5: Who works in Real Estate?</em></em></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">The build Environment by Cobalt Recruitment</li><li fr-original-style="" style="box-sizing: border-box;">Rea; Estate Agents</li><li fr-original-style="" style="box-sizing: border-box;">Examples of Real Estate Market Agents CVs</li><li fr-original-style="" style="box-sizing: border-box;">Real Estate Network</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><br fr-original-style="" style="box-sizing: border-box;"></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Included in the Course</strong></strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">CPD Accredited Certificate</li><li fr-original-style="" style="box-sizing: border-box;">12 Months Access to the Course</li><li fr-original-style="" style="box-sizing: border-box;">Course Files</li><li fr-original-style="" style="box-sizing: border-box;">Online Learning Platform access - Further Learning Resources (Reading, Files and Videos)</li><li fr-original-style="" style="box-sizing: border-box;">Post Course Support - Two Months of Questions &amp; Answers, and One year of support is available for an additional fee</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For more information about the Introduction to Real Estate, please contact Sam on the Bayfield Training Sales team:</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">E - s.musgrave@bayfieldtraining.com</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">T - 01223 517851</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">W - <a href="https://www.bayfieldtraining.com/" target="_blank" rel="nofollow noopener noreferrer ugc" title="https://www.bayfieldtraining.com/" data-airgap-id="125" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">www.bayfieldtraining.com</a></p>

Financial Analysis

Are you looking to enter the dynamic world of real estate?

Our course is designed to equip you with the knowledge and tools you need to communicate effectively with real estate professionals and develop key skills in real estate investment strategy and analytics.

At the end of the course, you'll be able to read and interpret real estate market reports, and have a firm grasp of how iconic buildings, cities, and companies fit into the overall picture of the real estate sector.



On this course, you will…

Become familiar with the players, structure, general terminology and overall needs of Real Estate.
Learn what is Real Estate and why it is different from other asset classes
Get to grips with the overall size and structure of the UK Real Estate Market
Learn and analyse the links between the different parts of the property market
Understand who works in the Real Estate Market, their qualifications and their job descriptions
Recognise how and when to use basic real estate concepts: Rent, Value, Yield, Risk and Return, etc…
Learn how to read a real estate market report
Understand how current affairs, politics and economics affects Real Estate Investment
Use household names and iconic companies, cities and buildings to help consolidate your appreciation of this exciting sector


Who will benefit from this course:

Graduates or undergraduates studying economics, finance.
Professionals working in Marketing or Accounting teams within Real Estate firms.
APC students.
Anyone interested in Real Estate.
School leavers/A-Level Students looking to gain an understanding of Real Estate.
Non cognate students who wish to transfer into Real Estate/Finance careers.


Course Outline

Module 1: What is and why buy Real Estate?

The property Market
The Size and Structure of the UK property market
The impact of Real Estate in the Economy


Module 2: The Real Estate Market System

The Space Market
The Asset Market
The Development Market


Module 3: How to value Real Estate

An Introduction to Financial Mathematics
The difference between Price, Value and Worth
Property Yield
Conventional Valuation Methods


Module 4: How to read a Real Estate Market Report

Property Market Indicators: Stock Indicators
Property Market Indicators: Investment Indicators


Module 5: Who works in Real Estate?

The build Environment by Cobalt Recruitment
Rea; Estate Agents
Examples of Real Estate Market Agents CVs
Real Estate Network


An Introduction to Real Estate (12 Hours Online Self-Study)

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p></p><p>The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.</p><p></p><p></p><p>This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.</p><p></p>Prerequisites<p></p><li>Understanding core data concepts.</li>  <li>Knowledge of working with relational data in the cloud.</li>  <li>Knowledge of working with non-relational data in the cloud.</li>   <li>Knowledge of data analysis and visualization concepts.</li>   <li>DP-900T00 Microsoft Azure Data Fundamentals is recommended<p></p></li></div><div id="course-pills-2"><h3>1 - Discover data analysis</h3> <ul> <li>Overview of data analysis</li> <li>Roles in data</li> <li>Tasks of a data analyst</li> </ul> <h3>2 - Get started building with Power BI</h3> <ul> <li>Use Power BI</li> <li>Building blocks of Power BI</li> <li>Tour and use the Power BI service</li> </ul> <h3>3 - Get data in Power BI</h3> <ul> <li>Get data from files</li> <li>Get data from relational data sources</li> <li>Create dynamic reports with parameters</li> <li>Get data from a NoSQL database</li> <li>Get data from online services</li> <li>Select a storage mode</li> <li>Get data from Azure Analysis Services</li> <li>Fix performance issues</li> <li>Resolve data import errors</li> </ul> <h3>4 - Clean, transform, and load data in Power BI</h3> <ul> <li>Shape the initial data</li> <li>Simplify the data structure</li> <li>Evaluate and change column data types</li> <li>Combine multiple tables into a single table</li> <li>Profile data in Power BI</li> <li>Use Advanced Editor to modify M code</li> </ul> <h3>5 - Design a semantic model in Power BI</h3> <ul> <li>Work with tables</li> <li>Create a date table</li> <li>Work with dimensions</li> <li>Define data granularity</li> <li>Work with relationships and cardinality</li> <li>Resolve modeling challenges</li> </ul> <h3>6 - Add measures to Power BI Desktop models</h3> <ul> <li>Create simple measures</li> <li>Create compound measures</li> <li>Create quick measures</li> <li>Compare calculated columns with measures</li> </ul> <h3>7 - Add calculated tables and columns to Power BI Desktop models</h3> <ul> <li>Create calculated columns</li> <li>Learn about row context</li> <li>Choose a technique to add a column</li> </ul> <h3>8 - Use DAX time intelligence functions in Power BI Desktop models</h3> <ul> <li>Use DAX time intelligence functions</li> <li>Additional time intelligence calculations</li> </ul> <h3>9 - Optimize a model for performance in Power BI</h3> <ul> <li>Review performance of measures, relationships, and visuals</li> <li>Use variables to improve performance and troubleshooting</li> <li>Reduce cardinality</li> <li>Optimize DirectQuery models with table level storage</li> <li>Create and manage aggregations</li> </ul> <h3>10 - Design Power BI reports</h3> <ul> <li>Design the analytical report layout</li> <li>Design visually appealing reports</li> <li>Report objects</li> <li>Select report visuals</li> <li>Select report visuals to suit the report layout</li> <li>Format and configure visualizations</li> <li>Work with key performance indicators</li> </ul> <h3>11 - Configure Power BI report filters</h3> <ul> <li>Apply filters to the report structure</li> <li>Apply filters with slicers</li> <li>Design reports with advanced filtering techniques</li> <li>Consumption-time filtering</li> <li>Select report filter techniques</li> <li>Case study - Configure report filters based on feedback</li> </ul> <h3>12 - Enhance Power BI report designs for the user experience</h3> <ul> <li>Design reports to show details</li> <li>Design reports to highlight values</li> <li>Design reports that behave like apps</li> <li>Work with bookmarks</li> <li>Design reports for navigation</li> <li>Work with visual headers</li> <li>Design reports with built-in assistance</li> <li>Tune report performance</li> <li>Optimize reports for mobile use</li> </ul> <h3>13 - Perform analytics in Power BI</h3> <ul> <li>Explore statistical summary</li> <li>Identify outliers with Power BI visuals</li> <li>Group and bin data for analysis</li> <li>Apply clustering techniques</li> <li>Conduct time series analysis</li> <li>Use the Analyze feature</li> <li>Create what-if parameters</li> <li>Use specialized visuals</li> </ul> <h3>14 - Create and manage workspaces in Power BI</h3> <ul> <li>Distribute a report or dashboard</li> <li>Monitor usage and performance</li> <li>Recommend a development life cycle strategy</li> <li>Troubleshoot data by viewing its lineage</li> <li>Configure data protection</li> </ul> <h3>15 - Manage semantic models in Power BI</h3> <ul> <li>Use a Power BI gateway to connect to on-premises data sources</li> <li>Configure a semantic model scheduled refresh</li> <li>Configure incremental refresh settings</li> <li>Manage and promote semantic models</li> <li>Troubleshoot service connectivity</li> <li>Boost performance with query caching (Premium)</li> </ul> <h3>16 - Create dashboards in Power BI</h3> <ul> <li>Configure data alerts</li> <li>Explore data by asking questions</li> <li>Review Quick insights</li> <li>Add a dashboard theme</li> <li>Pin a live report page to a dashboard</li> <li>Configure a real-time dashboard</li> <li>Set mobile view</li> </ul> <h3>17 - Implement row-level security</h3> <ul> <li>Configure row-level security with the static method</li> <li>Configure row-level security with the dynamic method</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans PL-300T00: Microsoft Power BI Data Analyst training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the PL-300T00: Microsoft Power BI Data Analyst course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Nexus Human

Powerbi

Microsoft Power BI

Microsoft Power Platform

Microsoft BI

PL-300T00 Microsoft Power BI Data Analyst

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			<h2>Overview of Data Analyst: Data Analysis in Excel</h2>		</div>
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					<div><p><span>Join our Data Analyst: Data Analysis in Excel course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Analyst: Data Analysis in Excel course has everything you need to get a great start in this sector.</span></p><p><span>Improving and moving forward is key to getting ahead personally. The Data Analyst: Data Analysis in Excel course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now!</span></p></div>
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			<h3>Get a Quick Look at The Course Content:</h3>		</div>
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			<h3>This <span>Data Analyst: Data Analysis in Excel</span> Course will help you to learn:</h3>		</div>
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					<div><p><span>This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Analyst: Data Analysis in Excel. Enrol today and complete the course to achieve a certificate that can change your career forever.</span></p></div>
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			<h3>Perks of Learning with IOMH</h3>		</div>
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										<span>Study Online - Whenever and Wherever You Want.</span>
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										<span>100% Money Back Guarantee.</span>
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			<h3>Process of Evaluation</h3>		</div>
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					<div><p>After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate.</p></div>
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			<h3>Certificate of Achievement</h3>		</div>
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					<div><h4><span>Certificate of Completion - Digital / PDF Certificate</span></h4>  
<p>After completing the <span>Data Analyst: Data Analysis in Excel course</span>, you can order your<span> CPD Accredited Digital / PDF Certificate for £5.99. </span></p>
<p><span>Certificate of Completion - Hard copy Certificate</span></p>
<p><span>You can get the CPD Accredited <b><i>Hard Copy Certificate for £12.99</i></b>.</span></p>
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<div><span>Shipping Charges:</span><span><span><br /></span></span></div>
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<li><p><span>Inside the UK: £3.99</span></p></li>
<li><p><span>International: £10.99</span></p></li>
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			<h3>Who Is This Course for?</h3>		</div>
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					<div><p><span>This Data Analyst: Data Analysis in Excel is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. </span></p><p><span>On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. </span></p><p><span>This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education.</span></p></div>
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					<div><p><span>You don't need any educational qualification or experience to enrol in the Data Analyst: Data Analysis in Excel course.</span></p>
<p><span>Do note: you must be at least 16 years old to enrol.</span></p>
<p><span>Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course.</span></p></div>
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					<div><p><span>The certification and skills you get from this </span><span>Data Analyst: Data Analysis in Excel Course</span><span> can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors.</span></p></div>
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			<h2><u>Frequently Asked Questions (FAQ's)</u></h2>		</div>
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					<div id="elementor-tab-content-1721"><p>1.  You need to find the right course on our IOMH website at first. You can search for any course or find the course from the Courses section of our website.<br />2. Click on Take This Course button, and you will be directed to the Cart page.<br />3. You can update the course quantity and also remove any unwanted items in the CART and after that click on the Checkout option and enter your billing details.<br />4. Once the payment is made, you will receive an email with the login credentials, and you can start learning after logging into the portal.</p></div>
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					<div id="elementor-tab-content-1723"><p>You should receive your Digital Certificate within 24 hours after placing the order, and it will take 3-9 days to deliver the hard copies to your address if you are in the UK.</p><p>For International Delivery, it will take 20-25 days.</p><p>If you require any assistance, get in touch with our dedicated Customer Support team, and your queries/issues will be dealt with accordingly.</p></div>
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					<div id="elementor-tab-content-1724"><p>You can make the payment using PayPal or you can Bank Transfer the amount.</p><p>For Bank transfer you will require an invoice from us and you need to contact our Customer Support team and provide details of your purchase to get the invoice.</p><p>After that, you will receive an email with the invoice and bank details and you can make the payment accordingly.</p></div>
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					<div id="elementor-tab-content-1726"><p>To resolve this issue, please log out of your account and then log back in.</p></div>
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					<td colspan="4">Modifying a Worksheet</td>
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					<td>Insert, Delete, and Adjust Cells, Columns, and Rows</td>
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					<td><span><i></i> 00:10:00</span></td>
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					<td>Search for and Replace Data</td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td>Use Proofing and Research Tools</td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td colspan="4">Working with Lists</td>
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					<td>Sort Data</td>
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					<td><span><i></i> 00:10:00</span></td>
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					<td><span><i></i> 00:10:00</span></td>
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					<td>Query Data with Database Functions</td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td colspan="4">Analyzing Data</td>
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					<td>Apply Intermediate Conditional Formatting</td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td><span><i></i> 00:05:00</span></td>
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					<td colspan="4">Visualizing Data with Charts</td>
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					<td><span><i></i> 00:13:00</span></td>
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					<td><span><i></i> 00:12:00</span></td>
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					<td><span><i></i> 00:12:00</span></td>
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					<td><span><i></i> 00:13:00</span></td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td>Filter Data by Using Timelines and Slicers</td>
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					<td><span><i></i> 00:11:00</span></td>
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					<td colspan="4">Working with Multiple Worksheets and Workbooks</td>
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					<td>Use Links and External References</td>
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					<td><span><i></i> 00:12:00</span></td>
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					<td>Use 3-D References</td>
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					<td><span><i></i> 00:06:00</span></td>
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					<td><span><i></i> 00:05:00</span></td>
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					<td colspan="4">Using Lookup Functions and Formula Auditing</td>
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					<td>Use Lookup Functions</td>
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					<td><span><i></i> 00:12:00</span></td>
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					<td>Trace Cells</td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td>Watch and Evaluate Formulas</td>
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					<td><span><i></i> 00:08:00</span></td>
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					<td colspan="4">Automating Workbook Functionality</td>
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					<td>Apply Data Validation</td>
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					<td><span><i></i> 00:13:00</span></td>
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					<td>Search for Invalid Data and Formulas with Errors</td>
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					<td><span><i></i> 00:04:00</span></td>
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					<td>Work with Macros</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
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					<td colspan="4">Creating Sparklines and Mapping Data</td>
				</tr>
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					<td><i></i></td>
					<td>Create Sparklines</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
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					<td>Determine Potential Outcomes Using Data Tables</td>
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					<td><span><i></i> 00:08:00</span></td>
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					<td>Determine Potential Outcomes Using Scenarios</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>Use the Goal Seek Feature</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>Forecasting Data Trends</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
				</tbody></table></div>

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Overview of Data Analyst: Data Analysis in Excel
Join our Data Analyst: Data Analysis in Excel course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Analyst: Data Analysis in Excel course has everything you need to get a great start in this sector.
Improving and moving forward is key to getting ahead personally. The Data Analyst: Data Analysis in Excel course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now!
Get a Quick Look at The Course Content:
This Data Analyst: Data Analysis in Excel Course will help you to learn:
Learn strategies to boost your workplace efficiency.
Hone your skills to help you advance your career.
Acquire a comprehensive understanding of various topics and tips.
Learn in-demand skills that are in high demand among UK employers
This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Analyst: Data Analysis in Excel. Enrol today and complete the course to achieve a certificate that can change your career forever.
Details
Perks of Learning with IOMH
One-To-One Support from a Dedicated Tutor Throughout Your Course.
Study Online - Whenever and Wherever You Want.
Instant Digital/ PDF Certificate.
100% Money Back Guarantee.
12 Months Access.
Process of Evaluation
After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate.
Certificate of Achievement
Certificate of Completion - Digital / PDF Certificate
After completing the Data Analyst: Data Analysis in Excel course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. 
Certificate of Completion - Hard copy Certificate
You can get the CPD Accredited Hard Copy Certificate for £12.99.
Shipping Charges:
Inside the UK: £3.99
International: £10.99
Who Is This Course for?
This Data Analyst: Data Analysis in Excel is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. 
On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. 
This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education.
Requirements
You don't need any educational qualification or experience to enrol in the Data Analyst: Data Analysis in Excel course.
Do note: you must be at least 16 years old to enrol.
Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course.
Career Path
The certification and skills you get from this Data Analyst: Data Analysis in Excel Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors.

 Course Curriculum

Modifying a Worksheet			
	Insert, Delete, and Adjust Cells, Columns, and Rows		00:10:00
	Search for and Replace Data		00:09:00
	Use Proofing and Research Tools		00:07:00
Working with Lists			
	Sort Data		00:10:00
	Filter Data		00:10:00
	Query Data with Database Functions		00:09:00
	Outline and Subtotal Data		00:09:00
Analyzing Data			
	Apply Intermediate Conditional Formatting		00:07:00
	Apply Advanced Conditional Formatting		00:05:00
Visualizing Data with Charts			
	Create Charts		00:13:00
	Modify and Format Charts		00:12:00
	Use Advanced Chart Features		00:12:00
Using PivotTables and PivotCharts			
	Create a PivotTable		00:13:00
	Analyze PivotTable Data		00:12:00
	Present Data with PivotCharts		00:07:00
	Filter Data by Using Timelines and Slicers		00:11:00
Working with Multiple Worksheets and Workbooks			
	Use Links and External References		00:12:00
	Use 3-D References		00:06:00
	Consolidate Data		00:05:00
Using Lookup Functions and Formula Auditing			
	Use Lookup Functions		00:12:00
	Trace Cells		00:09:00
	Watch and Evaluate Formulas		00:08:00
Automating Workbook Functionality			
	Apply Data Validation		00:13:00
	Search for Invalid Data and Formulas with Errors		00:04:00
	Work with Macros		00:18:00
Creating Sparklines and Mapping Data			
	Create Sparklines		00:07:00
	MapData		00:07:00
Forecasting Data			
	Determine Potential Outcomes Using Data Tables		00:08:00
	Determine Potential Outcomes Using Scenarios		00:09:00
	Use the Goal Seek Feature		00:04:00
	Forecasting Data Trends		00:05:00


IOMH - Institute of Mental Health

Data Analysis Expressions

Data Management

Data Entry

Big Data

Business Data Analysis

Data Analyst: Data Analysis in Excel

<p><strong>Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £180 as a Gift-Enrol Now!!!</strong></p><p>Gain the essential skills for a<strong> Data Analyst </strong>role through this <strong>TWENTY-in-One career-oriented </strong>Professional Data Analyst Program from Apex Learning and position yourself competitively in the thriving job market for data analysts, which will see a <strong>20% growth by 2028</strong> (U.K. Bureau of Labor Statistics).</p><p>Power your<strong> Data Analyst </strong>career by learning the <strong>core principles</strong> of data analysis and gaining professional skills. You'll go through with a variety of data sources, project scenarios, and data analysis tools, including <strong>Excel</strong>, <strong>Power BI</strong>, <strong>SQL</strong>, <strong> Python</strong>, <strong>Google Data Studio</strong>,<strong> Tableau</strong> and <strong>SAS</strong>, gaining practical experience with data manipulation and applying analytical techniques.</p><p>Along with this Data Analyst : Data Analytics bundle, you will get 19 other premium courses.</p><p><strong>This Data Analyst : Data Analytics Bundle Consists of the following Premium courses:</strong></p><ul><li><strong>Course 01:</strong> Introduction to Data Analysis</li><li><strong>Course 02:</strong> Data Analytics with Tableau</li><li><strong>Course 03:</strong> Python for Data Analysis</li><li><strong>Course 04:</strong> Basic Google Data Studio</li><li><strong>Course 05:</strong> SQL NoSQL Big Data and Hadoop</li><li><strong>Course 06:</strong> Complete Microsoft Power BI 2021</li><li><strong>Course 07:</strong> Fundamentals of Business Analysis</li><li><strong>Course 08:</strong> Complete Introduction to Business Data Analysis Level 3</li><li><strong>Course 09:</strong> Business Intelligence and Data Mining Masterclass</li><li><strong>Course 10:</strong> Research Methods in Business</li><li><strong>Course 11:</strong> Statistical Analysis</li><li><strong>Course 12:</strong> Graph Theory Algorithms</li><li><strong>Course 13:</strong> Clinical Data Analysis with SAS</li><li><strong>Course 14:</strong> Data Analysis in Excel Level 3 Course</li><li><strong>Course 15:</strong> Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li><strong>Course 16:</strong> PowerPoint Diploma</li><li><strong>Course 17:</strong> Data Protection and Data Security Level 2</li><li><strong>Course 18:</strong> Functional Skills IT</li><li><strong>Course 19:</strong> Decision Making and Critical Thinking</li></ul><p>So, enrol in this Data Analyst : Data Analytics Training now to advance your career!</p><p>This Data Analyst : Data Analytics bundle Does Not require any prior programming or statistical skills and is suitable for learners with or without college degrees.</p><p>The Data Analyst : Data Analytics bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analyst : Data Analytics expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.</p><p><strong>H</strong><strong>ow will I get my Certificate?</strong></p><p>After successfully completing the Data Analyst : Data Analytics Training, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p><ul><li><strong>PDF Certificate: Free (For The Title Course)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course)</strong></li></ul><p>P.S. The delivery charge inside the U.K. is £3.99, and the international students must pay £9.99.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
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                                <div>
                                    <div>
                                        125 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Anyone from any background can enrol in this Data Analyst : Data Analytics bundle.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Data Analyst : Data Analytics Trainingcourse has been designed to be fully compatible with tablets and smartphones.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Data Analyst : Data Analytics Training<strong>: </strong></p><p>This <strong>Data Analyst (Data Analytics) </strong>Bundle is ideal for anyone who wants to take their development to the next level and fast-track their career in any of the following roles:b</p><ul><li>Data analytics manager</li><li>Financial analyst</li><li>Marketing analyst</li><li>Systems analyst</li><li>Data scientist</li><li>Machine learning engineer</li><li>Data analytics consultant</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div> <p>You will get the PDF Certificate for the title course (<strong>Data Analysis</strong>) absolutely Free! </p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course (<strong>Data Analysis</strong>) absolutely Free! Other Hard Copy certificates are available for £10 each. </p><p>Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £180 as a Gift-Enrol Now!!!
Gain the essential skills for a Data Analyst role through this TWENTY-in-One career-oriented Professional Data Analyst Program from Apex Learning and position yourself competitively in the thriving job market for data analysts, which will see a 20% growth by 2028 (U.K. Bureau of Labor Statistics).
Power your Data Analyst career by learning the core principles of data analysis and gaining professional skills. You'll go through with a variety of data sources, project scenarios, and data analysis tools, including Excel, Power BI, SQL,  Python, Google Data Studio, Tableau and SAS, gaining practical experience with data manipulation and applying analytical techniques.
Along with this Data Analyst : Data Analytics bundle, you will get 19 other premium courses.
This Data Analyst : Data Analytics Bundle Consists of the following Premium courses:
Course 01: Introduction to Data Analysis
Course 02: Data Analytics with Tableau
Course 03: Python for Data Analysis
Course 04: Basic Google Data Studio
Course 05: SQL NoSQL Big Data and Hadoop
Course 06: Complete Microsoft Power BI 2021
Course 07: Fundamentals of Business Analysis
Course 08: Complete Introduction to Business Data Analysis Level 3
Course 09: Business Intelligence and Data Mining Masterclass
Course 10: Research Methods in Business
Course 11: Statistical Analysis
Course 12: Graph Theory Algorithms
Course 13: Clinical Data Analysis with SAS
Course 14: Data Analysis in Excel Level 3 Course
Course 15: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Course 16: PowerPoint Diploma
Course 17: Data Protection and Data Security Level 2
Course 18: Functional Skills IT
Course 19: Decision Making and Critical Thinking
So, enrol in this Data Analyst : Data Analytics Training now to advance your career!
This Data Analyst : Data Analytics bundle Does Not require any prior programming or statistical skills and is suitable for learners with or without college degrees.
The Data Analyst : Data Analytics bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analyst : Data Analytics expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.
How will I get my Certificate?
After successfully completing the Data Analyst : Data Analytics Training, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.
PDF Certificate: Free (For The Title Course)
Hard Copy Certificate: Free (For The Title Course)
P.S. The delivery charge inside the U.K. is £3.99, and the international students must pay £9.99.
 CPD 
125 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Anyone from any background can enrol in this Data Analyst : Data Analytics bundle.
 Requirements 
This Data Analyst : Data Analytics Trainingcourse has been designed to be fully compatible with tablets and smartphones.
 Career path 
Data Analyst : Data Analytics Training: 
This Data Analyst (Data Analytics) Bundle is ideal for anyone who wants to take their development to the next level and fast-track their career in any of the following roles:b
Data analytics manager
Financial analyst
Marketing analyst
Systems analyst
Data scientist
Machine learning engineer
Data analytics consultant
 Certificates 
Certificate of completion
 Digital certificate - Included 
You will get the PDF Certificate for the title course (Data Analysis) absolutely Free! 
Certificate of completion
 Hard copy certificate - Included 
You will get the Hard Copy certificate for the title course (Data Analysis) absolutely Free! Other Hard Copy certificates are available for £10 each. 
Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Data Analyst : Data Analytics Training

dbrownconsulting

Advanced Data Analysis and Reconciliation

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					<div><p>The comprehensive Clinical Data Analysis with SAS   has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Clinical Data Analysis with SAS   today, and learn from the very best the industry has to offer!</p></div>
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					<div><p>This best selling Clinical Data Analysis with SAS   has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Clinical Data Analysis with SAS   is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The Clinical Data Analysis with SAS   is CPD-accredited, so you can be confident you're completing a quality training course  will boost your CV and enhance your career potential. The Clinical Data Analysis with SAS   is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the Clinical Data Analysis with SAS  , you will be awarded a certificate of completion  as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Clinical Data Analysis with SAS   will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the Clinical Data Analysis with SAS   to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Cloud

Clinical Data Analysis with SAS

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			<h2>Overview</h2>		</div>
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					<div><p><span>Join our Business Data Analysis course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Business Data Analysis course has everything you need to get a great start in this sector.</span></p><p><span>Improving and moving forward is key to getting ahead personally. The Business Data Analysis course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now!</span></p></div>
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			<h4>You Will Learn Following Things: </h4>  		</div>
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					<ul>
							<li>
											<span>
							<i></i>						</span>
										<span>Learn strategies to boost your workplace efficiency.</span>
									</li>
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											<span>
							<i></i>						</span>
										<span>Hone your skills to help you advance your career.</span>
									</li>
								<li>
											<span>
							<i></i>						</span>
										<span>Acquire a comprehensive understanding of various topics and tips.</span>
									</li>
								<li>
											<span>
							<i></i>						</span>
										<span>Learn in-demand skills that are in high demand among UK employers</span>
									</li>
						</ul>
				</div>
				</div>
				<div>
				<div>
					<div><p><span>This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Business Data Analysis. Enrol today and complete the course to achieve a certificate that can change your career forever.</span></p></div>
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			<h2>Details
</h2>		</div>
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			<h4>Perks of Learning with IOMH</h4>  		</div>
				</div>
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				<div>
					<ul>
							<li>
											<span>
							<i></i>						</span>
										<span>One-to-one support from a dedicated tutor throughout your course.</span>
									</li>
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											<span>
							<i></i>						</span>
										<span>Study online - whenever and wherever you want.</span>
									</li>
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							<i></i>						</span>
										<span>Instant Digital/ PDF certificate</span>
									</li>
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							<i></i>						</span>
										<span>100% money back guarantee</span>
									</li>
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							<i></i>						</span>
										<span>12 months access</span>
									</li>
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			<h4>Process of Evaluation</h4>  		</div>
				</div>
				<div>
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					<div><p>After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate.</p></div>
				</div>
				</div>
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			<h4>Certificate of Achievement</h4>  		</div>
				</div>
				<div>
				<div>
					<div><p><span>After completing the </span><b>Business Data Analysis course</b><span>, you will receive your</span><b> CPD-accredited Digital/PDF Certificate for £5.99. </b><span>To get the </span><b>hardcopy certificate for £12.99, </b><span>you must also pay the shipping charge of just</span><b> £3.99 (UK) and £10.99 (International).</b></p></div>
				</div>
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			<h4>Who Is This Course for?</h4>  		</div>
				</div>
				<div>
				<div>
					<div><p><span>This Business Data Analysis is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. </span></p><p><span>On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. </span></p><p><span>This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education.</span></p></div>
				</div>
				</div>
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			<h4>Requirements</h4>  		</div>
				</div>
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					<div><p><span>There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Business Data Analysis course.</span></p><p><span>Do note: you must be at least 16 years old to enrol.</span></p><p><span>Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course.</span></p></div>
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			<h4>Career path</h4>  		</div>
				</div>
				<div>
				<div>
					<div><p><span>The certification and skills you get from this </span><span>Business Data Analysis Course</span><span> can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors.</span></p></div>
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	<span>Course Curriculum</span>
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					<td colspan="4">Business Data Analysis</td>
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					<td>Module 01: Introduction to Business Analysis</td>
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					<td><span><i></i> 00:17:00</span></td>
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					<td>Module 2: Business Environment</td>
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					<td><span><i></i> 00:19:00</span></td>
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					<td>Module 3: Business Processes</td>
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					<td><span><i></i> 00:47:00</span></td>
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					<td>Module 4: Business Analysis Planning and Monitoring</td>
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					<td><span><i></i> 00:30:00</span></td>
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					<td>Module 5: Strategic Analysis and Product Scope</td>
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					<td><span><i></i> 00:31:00</span></td>
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					<td>Module 6: Solution Evaluation</td>
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					<td><span><i></i> 00:27:00</span></td>
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					<td><span><i></i> 00:48:00</span></td>
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					<td>Module 8: Ratio Analysis</td>
					<td> </td>
					<td><span><i></i> 00:29:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 9: Stakeholder Analysis and Management</td>
					<td> </td>
					<td><span><i></i> 00:25:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 10: Process Improvement with Gap Analysis</td>
					<td> </td>
					<td><span><i></i> 00:28:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 11: Documenting and Managing Requirements</td>
					<td> </td>
					<td><span><i></i> 00:31:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 12: Business Development and Succession Planning</td>
					<td> </td>
					<td><span><i></i> 00:27:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 13: Planning &amp; Forecasting Operations</td>
					<td> </td>
					<td><span><i></i> 00:23:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 14: Business Writing Skills</td>
					<td> </td>
					<td><span><i></i> 00:39:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Mock Exam</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mock Exam - Business Data Analysis</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Final Exam</td>
				</tr>
				</tbody></table></div>

			</div>
									</div>
						</div>
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Overview
Join our Business Data Analysis course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Business Data Analysis course has everything you need to get a great start in this sector.
Improving and moving forward is key to getting ahead personally. The Business Data Analysis course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now!
You Will Learn Following Things:
Learn strategies to boost your workplace efficiency.
Hone your skills to help you advance your career.
Acquire a comprehensive understanding of various topics and tips.
Learn in-demand skills that are in high demand among UK employers
This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Business Data Analysis. Enrol today and complete the course to achieve a certificate that can change your career forever.
Details

Perks of Learning with IOMH
One-to-one support from a dedicated tutor throughout your course.
Study online - whenever and wherever you want.
Instant Digital/ PDF certificate
100% money back guarantee
12 months access
Process of Evaluation
After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate.
Certificate of Achievement
After completing the Business Data Analysis course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International).
Who Is This Course for?
This Business Data Analysis is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. 
On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. 
This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education.
Requirements
There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Business Data Analysis course.
Do note: you must be at least 16 years old to enrol.
Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course.
Career path
The certification and skills you get from this Business Data Analysis Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors.
 Course Curriculum

Business Data Analysis			
	Module 01: Introduction to Business Analysis		00:17:00
	Module 2: Business Environment		00:19:00
	Module 3: Business Processes		00:47:00
	Module 4: Business Analysis Planning and Monitoring		00:30:00
	Module 5: Strategic Analysis and Product Scope		00:31:00
	Module 6: Solution Evaluation		00:27:00
	Module 7: Investigation Techniques		00:48:00
	Module 8: Ratio Analysis		00:29:00
	Module 9: Stakeholder Analysis and Management		00:25:00
	Module 10: Process Improvement with Gap Analysis		00:28:00
	Module 11: Documenting and Managing Requirements		00:31:00
	Module 12: Business Development and Succession Planning		00:27:00
	Module 13: Planning & Forecasting Operations		00:23:00
	Module 14: Business Writing Skills		00:39:00
Mock Exam			
	Mock Exam - Business Data Analysis		00:20:00
Final Exam			

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