Name: Pandas for Beginners - A Quick Guide
Price: 56.99 GBP
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<p>The Basic Data Analysis at QLS Level 4 is all you need to advance your career in relevant fields.</p><p>Enrol now to discover everything you need to know about Basic Data Analysis at QLS Level 4 and the skills to improve your talents in this field and be confident in your knowledge bucket with One Education as your right hand!</p><p><strong>Meet the Endorsement</strong></p><p>The Quality Licence Scheme has been designed specifically to recognise high-quality courses. This Basic Data Analysis at QLS Level 4 course materials is recognised by Quality Licence Scheme (QLS). This ensures the deep research and quality resource allocation behind the development phase of the course. In addition, the QLS certificate enriches your CV and recognises your quality study on the relevant subject.</p><p><strong>Meet the Accreditation</strong></p><p>CPD Quality Standards (CPD QS) accreditation assures the Basic Data Analysis at QLS Level 4 course training and learning activities are relevant, reliable, and up to date.</p><p><strong>Expert Support</strong></p><p>Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course.</p><p><strong>Key Benefits</strong></p><ul><li>Learning materials of the Design course contain engaging voiceover and visual elements for your comfort.</li><li>Get 24/7 access to all content for a full year.</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li></ul><p><strong>Course Curriculum:</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 Assessment </strong></p><p>To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%.</p><p>When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme.</p><p><strong>Certificate of Achievement</strong></p><p>Endorsed Certificate of Achievement from the Quality Licence Scheme<br />After successfully completing the (<strong>Data Analysis at QLS Level 4</strong>), learners will get an endorsed certificate (included with the course) delivered right to their doorstep by post, without paying a single penny! Please note that learners residing outside the UK have to pay a £10 postage charge.<br />Accredited Certification from One Education<br />After successfully completing the MCQ assessment of this (<strong>Data Analysis at QLS Level 4</strong>), you will also qualify for a CPD Accredited Certificate from One Education, as proof of your continued professional development. Certification is available in PDF format, at the cost of £9, or a hard copy can be sent to you via post, at the cost of £15.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        120 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 Basic Data Analysis at QLS Level 4 course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge.</p>
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        <div>Requirements</div>
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                            <p>This Basic Data Analysis at QLS Level 4 course is open to all, with no formal entry requirements.</p>
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        <div>Career path</div>
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                            <p>Upon successful completion of the Basic Data Analysis at QLS Level 4 Course, learners will be equipped with many indispensable skills and have the opportunity to grab.</p>
                        </div>

One Education

Data Analysis at QLS Level 4 Course

General Admission

<p>Are you looking to enhance your Data Analysis with Excel skills? If yes, then you have come to the right place. Our comprehensive course on Data Analysis with Excel will assist you in producing the best possible outcome by mastering the Data Analysis with Excel skills.</p><p>The Data Analysis with Excel is for those who want to be successful. In the Data Analysis with Excel, you will learn the essential knowledge needed to become well versed in Data Analysis with Excel.</p><p>Our Data Analysis with Excel starts with the basics of Data Analysis with Excel and gradually progresses towards advanced topics. Therefore, each lesson of this Data Analysis with Excel is intuitive and easy to understand.</p><p><strong>Why would you choose the Data Analysis with Excel from Compliance Central:</strong></p><ul><li>Lifetime access to Data Analysis with Excel materials</li><li>Full tutor support is available from Monday to Friday with the Data Analysis with Excel</li><li>Learn Data Analysis with Excel skills at your own pace from the comfort of your home</li><li>Gain a complete understanding of Data Analysis with Excel</li><li>Accessible, informative Data Analysis with Excel learning modules designed by expert instructors</li><li>Get 24/7 help or advice from our email and live chat teams with the Data Analysis with Excel bundle</li><li>Study Data Analysis with Excel in your own time through your computer, tablet or mobile device.</li><li>A 100% learning satisfaction guarantee with your Data Analysis with Excel</li><li>Improve your chance of gaining in demand skills and better earning potential by completing the Data Analysis with Excel</li></ul><p><strong> Data Analysis with Excel </strong></p><p><strong>Curriculum Breakdown of the Data Analysis with Excel<br /></strong></p><p><strong>Modifying a Worksheet</strong></p><ul><li>Insert, Delete, and Adjust Cells, Columns, and Rows</li><li>Search for and Replace Data</li><li>Use Proofing and Research Tools</li></ul><p><strong>Working with Lists</strong></p><ul><li>Sort Data</li><li>Filter Data</li><li>Query Data with Database Functions</li><li>Outline and Subtotal Data</li></ul><p><strong>Analyzing Data</strong></p><ul><li>Apply Intermediate Conditional Formatting</li><li>Apply Advanced Conditional Formatting</li></ul><p><strong>Visualizing Data with Charts</strong></p><ul><li>Create Charts</li><li>Modify and Format Charts</li><li>Use Advanced Chart Features</li></ul><p><strong>Using PivotTables and PivotCharts</strong></p><ul><li>Create a PivotTable</li><li>Analyze PivotTable Data</li><li>Present Data with PivotCharts</li><li>Filter Data by Using Timelines and Slicers</li></ul><p><strong>Working with Multiple Worksheets and Workbooks</strong></p><ul><li>Use Links and External References</li><li>Use 3-D References</li><li>Consolidate Data</li></ul><p><strong>Using Lookup Functions and Formula Auditing</strong></p><ul><li>Use Lookup Functions</li><li>Trace Cells</li><li>Watch and Evaluate Formulas</li></ul><p><strong>Automating Workbook Functionality</strong></p><ul><li>Apply Data Validation</li><li>Search for Invalid Data and Formulas with Errors</li><li>Work with Macros</li></ul><p><strong>Creating Sparklines and Mapping Data</strong></p><ul><li>Create Sparklines</li><li>MapData</li></ul><p><strong>Forecasting Data</strong></p><ul><li>Determine Potential Outcomes Using Data Tables</li><li>Determine Potential Outcomes Using Scenarios</li><li>Use the Goal Seek Feature</li><li>Forecasting Data Trends</li></ul><h2>
        
        <div>CPD</div>
    </h2>

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                                <div>
                                    <div>
                                        10 CPD hours / points
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                                        <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>The Data Analysis with Excel helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Data Analysis with Excel. It is also great for professionals who are already working in Data Analysis with Excel and want to get promoted at work.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>To enrol in this Data Analysis with Excel, all you need is a basic understanding of the English Language and an internet connection.</p>
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        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>The Data Analysis with Excel will enhance your knowledge and improve your confidence in exploring opportunities in various sectors related to Data Analysis with Excel.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited PDF Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><p><strong>CPD Accredited PDF Certificate</strong></p></div>
        <h4>CPD Accredited Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            £10.79
        </p>
            <div><p><strong>CPD Accredited Hard Copy Certificate</strong></p><p><strong>Delivery Charge:</strong></p><ul><li>Inside the UK: Free</li><li>Outside of the UK: £9.99</li></ul></div>

                        </div>

Compliance Central

Data Analysis with Excel

<p>This Data Analyst : Data Analytics Diploma bundle will help you to become a job-ready Data Analyst.</p><p>The Data Analyst : Data Analytics Diploma course provides complete preparation for someone who aspires to become a data analyst at a minimal cost compared to the typical programs (not to mention how much time you will save). We believe this course will significantly boost your chances of landing your dream job, as it will prepare you for practical tasks and concepts frequently included in interviews.</p><p>Approximately 3.5 million jobs are there for professionals with data skills. So if you want to broaden your career opportunities, enrol in our Data Analyst : Data Analytics Diploma course, where our industry experts have included every detail of data learning material to give you a clear picture. Don't miss out!</p><p>We created this Data Analyst : Data Analytics Diploma to prepare you to advance your data analyst career. It is a unique training program because it teaches the fundamentals you need on the job-an often neglected aspect of critical importance. Our tutors will prepare you for a career as a Data Analyst by teaching you the fundamentals of mathematics, statistics, economics, theory analysis, data visualisation, data interpretation, risk management, and many other subjects. Everything is shown in the correct order, and you are not going to get lost along the way.</p><p><strong>This Data Analyst : Data Analytics Bundle Consists of the following Premium courses:</strong></p><ul><li><strong>Course 01: </strong>Data Analysis</li><li><strong>Course 02: </strong>Data Analytics with Tableau</li><li><strong>Course 03: </strong>Complete Google Analytics Course</li><li><strong>Course 04: </strong>Data Analysis in Excel Level 3 Course</li><li><strong>Course 05: </strong>Business Intelligence and Data Mining Masterclass</li><li><strong>Course 06: </strong>Business Analysis Level 3</li><li><strong>Course 07:</strong> Information Management<strong><br /></strong></li><li><strong>Course 08:</strong> Clinical Data Analysis with SAS</li><li><strong>Course 09: </strong>Strategic Business Management</li><li><strong>Course 10: </strong>Data Protection and Data Security Level 2</li><li><strong>Course 11:</strong> Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!</li><li><strong>Course 12: </strong>GDPR Data Protection Level 5</li><li><strong>Course 13: </strong>Decision-Making and Critical Thinking</li><li><strong>Course 14: </strong>Time Management<strong><br /></strong></li></ul><p>Enrol now in Data Analyst : Data Analytics to advance your career, and use the premium study materials from Apex Learning.</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>Course Curriculum</strong> :</p><p><strong>Course 01: Introduction to Data Analysis</strong></p><ul><li>Introduction</li><li>The Voice of the Process</li><li>Working as One Team for Improvement</li><li>Exercise: The Voice of the Customer</li><li>Tools for Data Analysis</li><li>The Pareto Chart</li><li>The Histogram</li><li>The Run Chart</li><li>Exercise: Presenting Performance Data</li><li>Understanding Variation</li><li>The Control Chart</li><li>Control Chart Example</li><li>Control Chart Special Cases</li><li>Interpreting the Control Chart</li><li>Control Chart Exercise</li><li>Strategies to Deal with Variation</li><li>Using Data to Drive Improvement</li><li>A Structure for Performance Measurement</li><li>Data Analysis Exercise</li><li>Course Project</li><li>Test your Understanding</li></ul><p><strong>---------- 13 additional must needed courses------------</strong></p><p><strong>Certificate:</strong></p><ul><li><strong>PDF Certificate: Free (Previously it was £6*11 = £66)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course: Previously it was £10)</strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
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                                    <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">
                            <ul><li>If you want to be a Data Analyst or Data Scientist, you should take this course.</li><li>If you want to have a successful career, this course is for you.</li><li>The course is also great for beginners because it starts with the basics and gradually builds up your skills.</li><li>Students who aspire to be among the top 20% of Data Analysts.</li><li>Students who want to gain hands-on experience with large, interesting datasets.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

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

                        <div id="career_path">
                            <p>This Data Analyst : Data Analytics Bundle is ideal for anyone who wants to take their career development to the next level and fast-track their career in any of the following roles:</p><ul><li>Data analytics manager</li><li>Financial analyst</li><li>Marketing analyst</li><li>Systems analyst</li><li>Data scientist</li><li>Data analytics consultant</li></ul><p>In the UK, these professionals' income ranges from <strong>£45,000 to £120,000 </strong>per year.</p>
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        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Apex Learning

Data Analyst : Data Analytics Diploma

<h3>Overview</h3><p>With the ever-increasing demand for Data Analysis in Microsoft Excel in personal &amp; professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Data Analysis in Microsoft Excel  may be.</p><p>Learning about Data Analysis in Microsoft Excel  or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Data Analysis in Microsoft Excel . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Data Analysis in Microsoft Excel  is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.</p><p>The self-paced online learning methodology by compete high in this Data Analysis in Microsoft Excel  course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!</p><p>Instead of searching for hours, enrol right away on this Data Analysis in Microsoft Excel  course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.</p><h3>Who is this course for?</h3><p>While we refrain from discouraging anyone wanting to do this Data Analysis in Microsoft Excel  course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it:</p><ol><li>Anyone looking for the basics of Data Analysis in Microsoft Excel ,</li><li>Jobseekers in the relevant domains,</li><li>Anyone with a ground knowledge/intermediate expertise in Data Analysis in Microsoft Excel ,</li><li>Anyone looking for a certificate of completion on doing an online training on this topic,</li><li>Students of Data Analysis in Microsoft Excel , or anyone with an academic knowledge gap to bridge,</li><li>Anyone with a general interest/curiosity</li></ol><h3>Career Path</h3><p>This Data Analysis in Microsoft Excel  course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.</p><div><div><div><h3>
Course Curriculum</h3><div><div><h4>
Module 1_ Introduction to Microsoft Excel</h4><div><div><ul><li><div>
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Introduction to Microsoft Excel</h5></div><div>
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Module 2_ Data Visualization and Advanced Functions</h4><div><div><ul><li><div>
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Data Visualization and Advanced Functions</h5></div><div>
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00:00													</span>
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Module 3_ PivotTables and Regression</h4><div><div><ul><li><div>
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PivotTables and Regression</h5></div><div>
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Module 4_ Time Series Analysis in Excel</h4><div><div><ul><li><div>
<span></span><h5>
Time Series Analysis in Excel</h5></div><div>
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00:00													</span>
<span></span></div></li></ul></div></div></div></div></div></div></div>

Compete High

Data Analysis in Microsoft Excel

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			<h2>Overview
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					<p>This comprehensive course on <strong>Excel Data Analysis for Beginner </strong>will deepen your understanding on this topic.</p><p>After successful completion of this course you can acquire the required skills in this sector. This Excel Data Analysis for Beginner comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.</p><p>So enrol in this course today to fast track your career ladder.</p>					</div>
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			<h2>How will I get my certificate?</h2>		</div>
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					<p>You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.</p>					</div>
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			<h2>Who is This course for?</h2>		</div>
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					<p>There is no experience or previous qualifications required for enrolment on this Excel Data Analysis for Beginner. It is available to all students, of all academic backgrounds.</p>					</div>
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			<h2>Requirements</h2>		</div>
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					<p>Our Excel Data Analysis for Beginner is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.</p><p>There is no time limit for completing this course, it can be studied in your own time at your own pace.</p>					</div>
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			<h2>Career Path</h2>		</div>
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					<p>Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to-</p><ul><li>Open doors of opportunities</li><li>Increase your adaptability</li><li>Keep you relevant</li><li>Boost confidence</li></ul><p>And much more!</p>					</div>
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					</div> <h3>Course Curriculum</h3><div><p>3 sections • 11 lectures • 01:11:00 total length</p></div><div><div><div><div><div><div><div><p>•Tracing Formulas: 00:04:00</p></div><div><div><p>•Using the Scenario Manager: 00:07:00</p></div><div><div><p>•Goal Seek: 00:03:00</p></div><div><div><p>•Solver: 00:03:00</p></div><div><div><p>•Data Tables: 00:11:00</p></div><div><div><p>•Data Analysis Tools: 00:16:00</p></div><div><div><p>•Forecast Sheet: 00:02:00</p></div><div><div><p>•Sumif, Countif,Averageif, Sumifs, and Countifs formulas: 00:09:00</p></div><div><div><p>•If, And, Or, and Nested If formulas: 00:16:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Resource - Excel Data Analysis for Beginner: 00:00:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Assignment - Excel Data Analysis for Beginner: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Finance Cert & Exam Prep

Excel Analytics

Microsoft Excel

Data Analysis

Data Analyst

Business Data Analysis

Excel Data Analysis for Beginner

<p>In the labyrinth of data lies the key to unlocking untold opportunities. Welcome to the Level 3 Certificate in Introduction to Data Analysis, where raw numbers metamorphose into actionable insights, and chaos yields to clarity. Step into a realm of Data Analysis where the language of data speaks volumes, and every dataset holds the potential to reshape the world.</p><p>Embark on a thrilling odyssey through twenty-two meticulously crafted modules of Level 3 Certificate in Introduction to Data Analysis, each a stepping stone in your journey towards data enlightenment. From deciphering the Voice of the Process to wielding the powerful tools of analysis, this course is your passport to the inner sanctum of data analysis mastery.</p><p>Navigate the winding pathways of data analysis, armed with the Pareto Chart, the Histogram, and the Run Chart, as your trusted companions in the Level 3 Certificate in Introduction to Data Analysis. Dive deep into the ocean of Data Analysis and performance data, where the Control Chart reigns supreme, revealing patterns hidden to the untrained eye.</p><p>Through immersive exercises and real-world scenarios in Data Analysis, you'll hone your analytical prowess, transforming raw data into actionable intelligence. Whether you're charting the Level 3 Certificate in Introduction to Data Analysis course for organizational improvement or seeking to elevate your personal skill set, this Data Analysis course is your beacon in the storm, guiding you towards the shores of data-driven success.</p><p>Join us on this exhilarating expedition Data Analysis course, and unlock the transformative power of Data Analysis. The journey begins now - are you ready to embark?</p><p><strong>Level 3 Certificate in Introduction to Data Analysis course Learning Outcomes:</strong></p><ul><li>Understand the principles and agenda of Process Management.</li><li>Analyse the Voice of the Process and the Voice of the Customer.</li><li>Employ tools such as the Pareto Chart, Histogram, and Run Chart for data analysis.</li><li>Interpret Control Charts and understand variation.</li><li>Develop strategies to deal with variation and drive improvement.</li><li>Apply data analysis techniques to real-world scenarios.</li></ul><p><strong>Certificate in Introduction to Data Analysis at QLS Level 3</strong></p><ul><li><strong>Module 01:</strong> Introduction</li><li><strong>Module 02: </strong>Agenda and Principles of Process Management</li><li><strong>Module 03:</strong> The Voice of the Process</li><li><strong>Module 04: </strong>Working as One Team for Improvement</li><li><strong>Module 05:</strong> Exercise: The Voice of the Customer</li><li><strong>Module 06:</strong> Tools for Data Analysis</li><li><strong>Module 07:</strong> The Pareto Chart</li><li><strong>Module 08</strong>: The Histogram</li><li><strong>Module 09:</strong> The Run Chart</li><li><strong>Module 10:</strong> Exercise: Presenting Performance Data</li><li><strong>Module 11:</strong> Understanding Variation</li><li><strong>Module 12: </strong>The Control Chart</li><li><strong>Module 13:</strong> Control Chart Example</li><li><strong>Module 14:</strong> Control Chart Special Cases</li><li><strong>Module 15:</strong> Interpreting the Control Chart</li><li><strong>Module 16:</strong> Control Chart Exercise</li><li><strong>Module 17:</strong> Strategies to Deal with Variation</li><li><strong>Module 18:</strong> Using Data to Drive Improvement</li><li><strong>Module 19</strong>: A Structure for Performance Measurement</li><li><strong>Module 20: </strong>Data Analysis Exercise</li><li><strong>Module 21:</strong> Course Project</li><li><strong>Module 22:</strong> Test your Understanding</li></ul><p><strong>Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for <strong>Free</strong> to be delivered to your home by post. For international students, there is an additional postage charge of £10.</p><p><strong>Endorsement</strong></p><p>The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards.</p><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p><strong>Certificate in Introduction to Data Analysis at QLS Level 3</strong></p><p><strong>Who is this Data Analysis course for?</strong></p><ul><li>Data Analysts</li><li>Business Analysts</li><li>Quality Assurance Specialists</li><li>Operations Managers</li><li>Project Managers</li><li>Researchers</li></ul>
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        <div>Requirements</div>
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                            <p><strong>Certificate in Introduction to Data Analysis at QLS Level 3</strong></p><p>To enrol in this Certificate in Introduction to Data Analysis at QLS Level 3 course, all you need is a basic understanding of the English Language and an internet connection.</p>
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    </h2>

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                            <p><strong>Certificate in Introduction to Data Analysis at QLS Level 3</strong></p><p><strong>Career Paths of Data Analysis course:</strong></p><ul><li><strong>Data Analyst:</strong> £25,000 - £60,000</li><li><strong>Business Analyst: </strong>£30,000 - £70,000</li><li><strong>Quality Assurance Manager:</strong> £35,000 - £80,000</li><li><strong>Operations Director: </strong>£40,000 - £100,000</li><li><strong>Project Manager: </strong>£30,000 - £70,000</li></ul>
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        <div>Certificates</div>
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                                    <h4>CPD Accredited PDF Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>QLS Endorsed Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>CPD Accredited Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            £9.99
        </p>
            <div><p><strong>CPD Accredited Hard Copy Certificate</strong></p><p><strong>Delivery Charge:</strong></p><ul><li>Inside the UK: Free</li><li>Outside of the UK: £9.99 each</li></ul></div>

                        </div>

Level 3 Certificate in Introduction to Data Analysis

<p><strong> Boost Your Career By Enrolling In This Microsoft Excel &amp; Data Analysis Bundle To Overcome Your Challenges!</strong></p><p><strong> 4 in 1 Microsoft Excel &amp; Data Analysis Bundle </strong></p><p>Improve your knowledge and enhance your skills to succeed with this Microsoft Excel &amp; Data Analysis bundle. This Microsoft Excel &amp; Data Analysis bundle is designed to build your competent skill set and enable the best possible outcome for your future. Our bundle is ideal for those who aim to be the best in their fields and are always looking to grow.</p><p><strong>This Microsoft Excel &amp; Data Analysis Bundle Contains 4 of Our Premium Courses for One Discounted Price:</strong></p><ul><li> Course 01: Microsoft Excel Complete Course</li><li> Course 02: Basic Data Analysis</li><li> Course 03: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li> Course 04: SQL for Data Science, Data Analytics and Data Visualization</li></ul><p>All the courses under this Microsoft Excel &amp; Data Analysis bundle are split into a number of expertly created modules to provide you with an in-depth and comprehensive learning experience. Upon successful completion of the Microsoft Excel &amp; Data Analysis bundle, an instant e-certificate will be exhibited in your profile that you can order as proof of your new skills and knowledge. Stand out from the crowd and get trained for the job you want.</p><p>With this comprehensive Microsoft Excel &amp; Data Analysis bundle, you can achieve your dreams and train for your ideal career. This Microsoft Excel &amp; Data Analysis bundle covers essential aspects in order to progress in your chosen career.</p><p><strong>Why Prefer Us for Microsoft Excel &amp; Data Analysis?</strong></p><ul><li>All-in-one package of 4 premium courses' Microsoft Excel &amp; Data Analysis bundle</li><li>Earn a certificate accredited by <strong>CPDQS. </strong></li><li><strong>Get a free student ID </strong>card<strong>! </strong>(£10 postal charge will be applicable for international delivery)</li><li>Globally Accepted Standard Lesson Planning</li><li>Free Assessments with this Microsoft Excel &amp; Data Analysis Bundle</li><li>24/7 Tutor Support available with this Microsoft Excel &amp; Data Analysis Bundle</li></ul> <p>Start your learning journey straightaway!</p><p>This Microsoft Excel &amp; Data Analysis's curriculum has been designed by Microsoft Excel &amp; Data Analysis experts with years of Microsoft Excel &amp; Data Analysis experience behind them. The Microsoft Excel &amp; Data Analysis course is extremely dynamic and well-paced to help you understand Microsoft Excel &amp; Data Analysis with ease. You'll discover how to master the Microsoft Excel &amp; Data Analysis skill while exploring relevant and essential topics.</p><p><strong>Assessment Process</strong></p><p>Once you have completed all the courses in the Microsoft Excel &amp; Data Analysis bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards.</p> <h2>
        
        <div>CPD</div>
    </h2>

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                                        180 CPD hours / points
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                                            Accredited by CPD Quality Standards
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                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This Microsoft Excel &amp; Data Analysis bundle is suitable for everyone.</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You will not need any prior background or expertise.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This Microsoft Excel &amp; Data Analysis bundle will allow you to kickstart or take your career in the related sector to the next stage.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4> Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4> Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            £29
        </p>
            <div><p>If you are an international student, you will be required to pay an additional fee of <strong>10 GBP</strong> for international delivery, and <strong>4.99 GBP</strong> for delivery within the UK, for each certificate</p></div>

                        </div>

Academy for Health and Fitness

Microsoft Excel & Data Analysis - CPD Certified

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			<h4>Overview</h4>		</div>
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							<p><span>By enroling in Data Analysis In Excel, 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 Data Analysis In Excel 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 Data Analysis In Excel 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 Data Analysis In Excel Program.</span></p><p><span>So enrol in our Data Analysis In Excel 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>
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							<p><span>Enroling in this Data Analysis In Excel course can improve your Data Analysis In Excel perspective, regardless of your skill levels in the Data Analysis In Excel topics you want to master. If you're already a Data Analysis In Excel expert, this peek under the hood will provide you with suggestions for accelerating your learning, including advanced Data Analysis In Excel insights that will help you make the most of your time. This Data Analysis In Excel course will act as a guide for you if you've ever wished to excel at Data Analysis In Excel.</span></p>						</div>
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			<h4>Why Choose Us?</h4>		</div>
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										<span>This course is accredited by the CPD Quality Standards.</span>
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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>
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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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			<h4>Will I Receive A Certificate Of Completion?</h4>		</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 Data Analysis In Excel course is a great place to start if you're looking to start a new career in Data Analysis In Excel field. This training is for anyone interested in gaining in-demand Data Analysis In Excel proficiency to help launch a career or their business aptitude. </span></p>						</div>
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							<p><span>The Data Analysis In Excel 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 Data Analysis In Excel, without any fuss.</span></p>						</div>
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							<p><span>This Data Analysis In Excel training will assist you develop your Data Analysis In Excel ability, establish a personal brand, and present a portfolio of relevant talents. It will help you articulate a  Data Analysis In Excel professional story and personalise your path to a new career. Furthermore, developing this Data Analysis In Excel 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>
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<table>				<tbody><tr>
					<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>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>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
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					<td><i></i></td>
					<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>
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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>Apply Advanced Conditional Formatting</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>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> 00:12:00</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> 00:07:00</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>Consolidate Data</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>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
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					<td>Work with Macros</td>
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					<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>
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					<td><span><i></i> 00:07:00</span></td>
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					<td>MapData</td>
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					<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>
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					<td><span><i></i> 00:08:00</span></td>
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					<td>Determine Potential Outcomes Using Scenarios</td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td>Use the Goal Seek Feature</td>
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					<td><span><i></i> 00:04:00</span></td>
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					<td>Forecasting Data Trends</td>
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					<td><span><i></i> 00:05:00</span></td>
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					<td colspan="4">Assignment</td>
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					<td>Assignment - Data Analysis In Excel</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
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					<td colspan="4">Order Your Certificate</td>
				</tr>
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					<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>

NextGen Learning

Data Analysis In Excel Course

<strong>This video course gives you an insight into applied data science concepts using Python. With the help of interesting activities and hands-on coding exercises, you'll learn about data science, extended data analysis, linear and logistic regression, data visualization, k-means clustering, and decision trees.</strong>
        <p>There is an ever-increasing demand for storing different types of data in organizations. Be it a small or big organization, employers want to keep records of their employees, customers, accounts, feedback, and so on. However, maintaining such an enormous collection of data is not possible without the help of data science. This video course will help you to learn the important concepts and theories of applied data science that you need to know to store, manipulate, and visualize huge chunks of data.

The course starts with an introduction to applied data science and a tutorial on how to set up a Jupyter notebook. You'll then go on to understand linear regression using Boston data. As you advance, you'll discover data visualization techniques and explore time series and data evaluation. You'll also get to grips with extended data analysis with the help of a temperature analysis activity. Toward the end, you'll be introduced to k-means clustering and gain a solid understanding of decision trees.

By the end of this course, you'll be well-versed with applied data science concepts and be able to apply your skills in the real world.

All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Projects-in-Data-Science</p>
        <h2>What You Will Learn</h2><p>Gain a solid understanding of applied data science<br>Get to grips with extended data analysis using an example data set<br>Find out how to perform linear and logistic regression<br>Become familiar with scattered and advanced scattered plot<br>Develop skills to plot time-series data<br>Explore k-means clustering and define centroids for clustering</p>
        <h2>Audience</h2><p>If you are a data science enthusiast who wants to develop your skills to effectively maintain your organization's data, then this video course is for you.</p>
        <h2>Approach</h2><p>Using detailed explanations, coding exercises, and activities, this video course helps you to get up and running with applied data science concepts.</p>
        <h2>Key Features</h2><p>Understand applied data science concepts with the help of engaging activities * Get to grips with data visualization, plotting, and clustering techniques * Discover how to make the best use of decision trees</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Projects-in-Data-Science</p>
        <h2>About the Author</h2><h3>Eduonix Learning Solutions</h3><p>Eduonix learning Solutions is a premier training and skill development organization which was started with a vision to bring world class training content, pedagogy and best learning practices to everyone's doorsteps . Eduonix aims to identify and provide the best learning and training environment. It identifies industry veterans and content creators around the globe and bring it to the global audience using number of intuitive platforms for easy and affordable access to quality content. Eduonix offers easy to understand online courses and workshops for everyday people. If you have ever wanted to learn a new skill, but don't want to attend four years of college to do it, we have a solution for you.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Extended Data Analysis</h4><p></p><br><h4>3. Regression</h4><p></p><br><h4>4. Data Visualization</h4><p></p><br><h4>5. Activity</h4><p></p><br><h4>6. Time Series</h4><p></p><br><h4>7. K-Means Clustering</h4><p></p><br><h4>8. Decision Tree</h4><p></p>

Packt

Data Science

Data Visualization

Python

This video course gives you an insight into applied data science concepts using Python. With the help of interesting activities and hands-on coding exercises, you'll learn about data science, extended data analysis, linear and logistic regression, data visualization, k-means clustering, and decision trees.

Projects in Data Science

<strong>This beginner's level course on Pandas acquaints you to the data analysis fundamentals using Pandas library and working with Pandas primary data structures, Series and DataFrame. Learn all about data input using indexing and filtering, data preprocessing, and handle missing values and duplicate rows to transform your data more efficiently with the help of this hands-on course.</strong>
        <p>If you work in any functional areas of data analysis, machine learning, and artificial intelligence, you will want to be familiar with or master Pandas. Pandas is a popular Python library used for data analysis and manipulation, commonly used with data analysis, artificial intelligence, and machine learning. Pandas enables quick and efficient data manipulation, aggregation, pivoting, and flexible time series.

This course will introduce you to the basics of data analysis using the Pandas library. You will learn to work with two primary data structures in Pandas, Series and Data Frame. Then, we will take a look at how to read data from a file and explore input data using indexing and filtering, at which point you will be ready for data preprocessing. Next, we will focus on handling missing values and duplicate rows and transforming data into a more efficient format. You will also discover how to manipulate data and data processing. Finally, we will dive into creating simple plots to visualize the data.

By the end of this course, you can use OOPs paradigm to create class hierarchies with the OOP design process. You can design and implement Python programs for complex issues and make good use of the features like classes and inheritance.

All resources are available at: https://github.com/PacktPublishing/pandas-for-Beginners---A-Quick-Guide</p>
        <h2>What You Will Learn</h2><p>Learn basic data analysis with Pandas' open-source Python library<br>Use the two primary Pandas data structures, Series and DataFrame<br>Process varied data types and manipulate data with string function<br>Organize input with index and filter, preprocess data with Pandas<br>Format and process different kinds of data most efficiently<br>Manipulate, aggregate, and pivot data flexibly and efficiently</p>
        <h2>Audience</h2><p>This course targets beginner Python developers or those who want to learn and use the Pandas library for Python. Data analysts, project management analysts, and those working in artificial intelligence, machine learning, or data science can benefit from this course immensely. For those managers and executives that handle a lot of data and create analytic reporting material, this course could help them as well in their data science projects. This course assumes no previous experience in Pandas, but a fundamental understanding of basic Python syntax is needed since it is built for Python.</p>
        <h2>Approach</h2><p>The course offers interactive onscreen demonstrations of the Pandas library, its installation, and setup, getting familiar with the usage and manipulation of data with examples and explanations. It is loaded with quizzes and project examples that can be attempted as you learn. It offers individual videos and course files to follow along.</p>
        <h2>Key Features</h2><p>Learn to view data imported from an external source * Understand data analysis basics with Pandas and data structures, Series and DataFrame * Explore data manipulation and processing using Pandas and create simple plots to visualize data</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/pandas-for-Beginners---A-Quick-Guide</p>
        <h2>About the Author</h2><h3>Simon Sez IT</h3><p>Simon Sez IT has offered technical courses for individuals, small businesses, and Fortune 500 companies since 2008, with thousands of employees who can benefit from the easy-to-learn and hands-on software training. It offers over 8,000 video tutorials on a range of software programs.

Simon Sez IT ensures stress-free eLearning and enhanced employee productivity-whether you implement new software or a technological upgrade in your work environment. With over 600,000 students from 180 countries, Simon Sez IT is the preferred online learning choice for individuals and businesses worldwide.</p>
        <h2>Course Outline</h2><h4>1. Introduction to Pandas</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Pandas</p><p style='margin: 0'>This video will look at an introductory overview of the Pandas course and what we will be learning about. It also takes us through an outline of the features and capabilities of Pandas and their use.</p></td></tr><tr><td style='padding: 15px;'><p>2. Pandas Installation</p><p style='margin: 0'>This video demonstrates how to install Pandas and discusses everything that is needed for starting to use Pandas. It takes us through installing Python and the Pandas library and shows how to install Jupyter notebook.</p></td></tr></tbody></table><br><h4>2. Pandas Objects</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Pandas Series</p><p style='margin: 0'>In this video, we will look at an introductory outline of the Pandas series and NumPy arrays, which makes the code fast and optimized.</p></td></tr><tr><td style='padding: 15px;'><p>2. Introduction to Pandas Data Frame</p><p style='margin: 0'>In this lesson, you will learn about the second primary data structure called Pandas Data Frame, which is a tabular data structure. We will understand the data frame and its operability. We will also learn about the Pandas dictionary.</p></td></tr><tr><td style='padding: 15px;'><p>3. Reading Data from Files</p><p style='margin: 0'>After learning about the Data Frame, we will look into how to read .csv files, a common datasheet. You will also learn about the pd.read_csv() call function. The author provides learning datasets and how to solve issues by correcting the datasets. The video also explains headers and adding values from the datasets to a data frame.</p></td></tr><tr><td style='padding: 15px;'><p>4. Selection and Filtering Pandas</p><p style='margin: 0'>In this video, you will learn about extracting part of the data frame using the selection operation. We will also look at accessing one or more columns using "[] and iloc and loc." We will look at how to select a part of the data frame in detail.</p></td></tr></tbody></table><br><h4>3. Data Preprocessing</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Handling Missing Values and Duplicates</p><p style='margin: 0'>During the data analysis, significant time is spent on data cleaning and transformation. Pandas provides the tool to handle such data. In this video, you will learn about handling missing data and duplicates. You will learn to eliminate rows with missing values and fill missing values and look at duplicates similarly.</p></td></tr><tr><td style='padding: 15px;'><p>2. DataFrame Manipulation</p><p style='margin: 0'>Here, you will learn how to rename columns in a data frame. We will look at adding columns to a data frame, concatenating a data frame, and removing columns with the drop method.</p></td></tr><tr><td style='padding: 15px;'><p>3. Data Transformation</p><p style='margin: 0'>In this video, you will learn how to convert String data to a category and discretize a continuous variable and convert it into a categorical feature.</p></td></tr></tbody></table><br><h4>4. Data Processing</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Processing Numerical Data for Pandas</p><p style='margin: 0'>In this video, you will learn about the various powerful tools available for numerical and statistical analysis on Pandas. We will look at the described () method, minimum and maximum values, and obtain the mean, median, variance, and standard deviation.</p></td></tr><tr><td style='padding: 15px;'><p>2. Processing String Format</p><p style='margin: 0'>In this lesson, we will continue processing data, but this time with string format data. String features have their operations. We will look at all the powerful tools on Pandas for handling string data.</p></td></tr><tr><td style='padding: 15px;'><p>3. Processing-Date/Time Format</p><p style='margin: 0'>Here, we will understand how to process and manipulate date/time data values. We will learn the most common and practical methods to manipulate and analyze date/time data.</p></td></tr></tbody></table><br><h4>5. Data Processing</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Visualize your Data</p><p style='margin: 0'>In this video, you will learn about data visualization. We will look at the basic and simple plots like the scatter plot, line plot, histogram, bar chart, and pie chart.</p></td></tr></tbody></table>

Pandas

This beginner's level course on Pandas acquaints you to the data analysis fundamentals using Pandas library and working with Pandas primary data structures, Series and DataFrame. Learn all about data input using indexing and filtering, data preprocessing, and handle missing values and duplicate rows to transform your data more efficiently with the help of this hands-on course.

Pandas for Beginners - A Quick Guide

<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

Business Analytics & Intelligence

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>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>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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					<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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					<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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					<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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					<td>Apply Intermediate Conditional Formatting</td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td><i></i></td>
					<td>Apply Advanced Conditional Formatting</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
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					<td colspan="4">Visualizing Data with Charts</td>
				</tr>
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					<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>
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					<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>
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					<td colspan="4">Working with Multiple Worksheets and Workbooks</td>
				</tr>
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					<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>
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					<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>
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					<td><i></i></td>
					<td>Use Lookup Functions</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
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					<td>Trace Cells</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
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					<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>
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					<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>
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					<td><i></i></td>
					<td>Create Sparklines</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
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					<td>MapData</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
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					<td colspan="4">Forecasting Data</td>
				</tr>
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					<td><i></i></td>
					<td>Determine Potential Outcomes Using Data Tables</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
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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>
								<tr>
					<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

Big Data Analytics

Data Analysis Expressions

Data Management

Data Entry

Big Data

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">
                            <div>
                                <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

Data Engineering

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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											<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>
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											<span>
							<i></i>						</span>
										<span>Learn in-demand skills that are in high demand among UK employers</span>
									</li>
						</ul>
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				</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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			<h4>Perks of Learning with IOMH</h4>  		</div>
				</div>
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				<div>
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											<span>
							<i></i>						</span>
										<span>One-to-one support from a dedicated tutor throughout your course.</span>
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										<span>Study online - whenever and wherever you want.</span>
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										<span>Instant Digital/ PDF certificate</span>
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							<i></i>						</span>
										<span>100% money back guarantee</span>
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										<span>12 months access</span>
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			<h4>Process of Evaluation</h4>  		</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>
				<div>
				<div>
			<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>
				</div>
				<div>
				<div>
			<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>
				<div>
				<div>
			<h4>Requirements</h4>  		</div>
				</div>
				<div>
				<div>
					<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>
				</div>
				</div>
				<div>
				<div>
			<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>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
						</div>
			</div>
		</div>
								</div>
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							<div>
											<div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table>				<tbody><tr>
					<td colspan="4">Business Data Analysis</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Introduction to Business Analysis</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 2: Business Environment</td>
					<td> </td>
					<td><span><i></i> 00:19:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 3: Business Processes</td>
					<td> </td>
					<td><span><i></i> 00:47:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 4: Business Analysis Planning and Monitoring</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 5: Strategic Analysis and Product Scope</td>
					<td> </td>
					<td><span><i></i> 00:31:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 6: Solution Evaluation</td>
					<td> </td>
					<td><span><i></i> 00:27:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 7: Investigation Techniques</td>
					<td> </td>
					<td><span><i></i> 00:48:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<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>
						<div id="menu2">
							
						</div>

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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