Name: Data Entry, Touch Typing & Microsoft Excel Training for Virtual Assistant & Executive PA
Price: 25 GBP
Availability: InStock

<p>The Learn MySQL from Scratch for Data Science and Analytics is all you need to advance your career in the relevant fields.</p><p>Enrol now to discover everything you need to know about The Learn MySQL from Scratch for Data Science and Analytics 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>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><p><strong>Section 01: Getting Started</strong></p><ul><li>Introduction</li><li>How to get course requirements</li><li>Getting started on Windows, Linux or Mac</li><li>How to ask great questions</li><li>FAQ's</li><li>What is Source Code?</li></ul><p><strong>Section 02: SQL Server setting up</strong></p><ul><li>Section Introduction</li><li>MySQL Server Installation</li><li>Connect MySQL Server Instance</li><li>MySQL Workbench overview</li><li>Download and Restore Sample Database</li></ul><p><strong>Section 03: SQL Database basics</strong></p><ul><li>Section Introduction</li><li>Overview of Databases</li><li>Creating Database</li><li>SQL Data Types</li><li>Column Data Types on Workbench</li><li>Creating Table</li><li>Overview of Primary and Foreign Key</li><li>Primary Key</li><li>Foreign Key</li><li>Creating Temporary tables</li><li>EER - Enhanced Entity Relationship Diagrams</li></ul><p><strong>Section 04: SQL DML (Data Manipulation Language)</strong></p><ul><li>Section Introduction</li><li>Insert statement</li><li>Update statement</li><li>Delete statement</li></ul><p><strong>Section 05: SQL DDL (Data Definition Language)</strong></p><ul><li>Section Introduction</li><li>CREATE table statement</li><li>DROP statement</li><li>ALTER statement</li><li>TRUNCATE statement</li><li>COMMENT in query</li><li>RENAME table</li></ul><p><strong>Section 06: SQL DCL (Data Control Language)</strong></p><ul><li>Create Database user</li><li>GRANT permissions</li><li>REVOKE permissions</li></ul><p><strong>Section 07: SQL Statement Basic</strong></p><ul><li>Section Introduction</li><li>SQL Statement basic</li><li>SELECT Statement</li><li>SELECT DISTINCT</li><li>SELECT with column headings</li><li>Column AS statement</li><li>DASHBOARD Analytics</li></ul><p><strong>Section 08: Filtering Data rows</strong></p><ul><li>SELECT WHERE Clause - theory</li><li>SELECT WHERE Clause - practical</li></ul><p><strong>Section 09: Aggregate functions for Data Analysis</strong></p><ul><li>Sum()</li><li>Min()-Max()</li></ul><p><strong>Section 10: SQL Data Analyticstatements</strong></p><ul><li>Order By statement</li><li>SELECT TOP 3 records</li><li>BETWEEN command</li><li>IN operator</li><li>Search Data usingLIKE cards</li></ul><p><strong>Section 11: SQL Group by statement</strong></p><ul><li>Section Introduction</li><li>Group by - theory</li><li>Data Analytics with Group By</li><li>HAVING statement</li></ul><p><strong>Section 12: JOINS</strong></p><ul><li>Overview of Joins</li><li>What are Joins</li><li>Inner join</li><li>Left outer join</li><li>Right outer join</li><li>Union</li><li>CERTESIAN Product or Cross Join</li><li>Query Exercise</li><li>Solution for Query Exercise</li></ul><p><strong>Section 13: SQL Constraints</strong></p><ul><li>Section introduction</li><li>Check constraint</li><li>NOT NULL constraint</li><li>UNIQUE constraint</li></ul><p><strong>Section 14: Views</strong></p><ul><li>Creating Views</li><li>Data Analytic Viewsfrom multiple tables</li></ul><p><strong>Section 15: Advanced SQL Functions</strong></p><ul><li>Section Introduction</li><li>Timestamp</li><li>Extract from timestamp</li><li>Mathematical scalar functions</li><li>String functions</li><li>Advanced functions</li><li>Sub Queries</li><li>SELECT with calculations</li></ul><p><strong>Section 16: SQL Stored procedures</strong></p><ul><li>Create stored procedure</li><li>Stored procedure with parameter</li><li>Drop Procedure</li></ul><p><strong>Section 17: Import &amp; Export data</strong></p><ul><li>Section Introduction</li><li>Import .csv file</li><li>Export Data to .csv file</li></ul><p><strong>Section 18: Backup and Restore Database</strong></p><ul><li>Section Introduction</li><li>Creating Database backup</li><li>Restoring Database backup</li></ul><p><strong>Exam &amp; Retakes:</strong><br />It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.</p><p><strong>Certification</strong><br />Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).</p><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This Learn MySQL from Scratch for Data Science and Analytics 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>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Learn MySQL from Scratch for Data Science and Analytics course is open to all, with no formal entry requirements.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Upon successful completion of The Learn MySQL from Scratch for Data Science and Analytics Course, learners will be equipped with many indispensable skills and have the opportunity to grab.</p>
                        </div>

One Education

Learn MySQL from Scratch for Data Science and Analytics Course

General Admission

<p>The <strong>Statistical Analysis Training</strong> Course is pivotal in the modern world, offering essential skills that are increasingly demanded across various industries. As businesses and organizations generate vast amounts of data, the ability to analyze and interpret this data becomes crucial. Learning from The Statistical Analysis Training Course equips individuals with expertise in key areas such as probability, hypothesis testing, regression analysis, and predictive analytics, enhancing their employability.</p><p>In the UK, proficiency gained from this Statistical Analysis Training course can significantly boost job opportunities, <strong>with data analysts and statisticians earning an average salary of £35,000 to £50,000 annually</strong>. The demand for statistical analysis skills is on the rise, <strong>with the sector experiencing a growth rate of 33% over the past five years. </strong></p><p><strong>Advantages of the Statistical Analysis Training course include a comprehensive understanding of both foundational and advanced statistical concepts</strong>, which are integral in roles across finance, healthcare, marketing, and technology. The Statistical Analysis Training Course ensures that learners are well-versed in modern analytical techniques, making them valuable assets in a data-driven economy. As the importance of data analytics continues to grow, so does the value of this training, making it an indispensable tool for career advancement.</p><p><strong>Key Features:</strong></p><ul><li>CPD Certified Statistical Analysis Course</li><li>Free Certificate from Reed</li><li>CIQ Approved Statistical Analysis Course</li><li>Developed by Specialist</li><li>Lifetime Access</li></ul><p><strong>Course Curriculum:</strong></p><p><strong>Statistical Analysis Training</strong></p><ul><li><strong>Module 01:</strong> The Realm of Statistics</li><li><strong>Module 02:</strong> Basic Statistical Terms</li><li><strong>Module 03:</strong> The Center of the Data</li><li><strong>Module 04:</strong> Data Variability</li><li><strong>Module 05</strong>: Binomial and Normal Distributions</li><li><strong>Module 06:</strong> Introduction to Probability</li><li><strong>Module 07:</strong> Estimates and Intervals</li><li><strong>Module 08:</strong> Hypothesis Testing</li><li><strong>Module 09:</strong> Regression Analysis</li><li><strong>Module 10:</strong> Algorithms, Analytics and Predictions</li><li><strong>Module 11:</strong> Learning From Experience: The Bayesian Way</li><li><strong>Module 12:</strong> Doing Statistics: The Wrong Way</li><li><strong>Module 13:</strong> How We Can Do Statistics Better</li></ul><p><strong>Learning Outcomes:</strong></p><ul><li>Grasp fundamental statistical concepts for data analysis proficiency.</li><li>Understand measures of central tendency and dispersion in datasets.</li><li>Apply probability theory to make informed statistical decisions.</li><li>Utilize hypothesis testing techniques to draw meaningful conclusions.</li><li>Master regression analysis for predictive modelling and trend identification.</li><li>Embrace Bayesian methods and enhance statistical inference capabilities.</li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        10 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><li>
                                        <h3>
                                            
                                                Statistical Analysis Training <span>4:44:42</span>
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                                        <ul id="section1">
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                                                    <span>1: Module 01: The Realm of Statistics</span>

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                                                    <span>15:23</span>

                                                        
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                                                    <span>2: Module 02: Basic Statistical Terms</span>

                                                    <span>27:51</span>

                                                        
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                                                    <span>3: Module 03: The Center of the Data</span>

                                                    <span>10:00</span>

                                                                                                                                                                
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                                                    <span>4: Module 04: Data Variability</span>

                                                    <span>21:00</span>

                                                                                                                                                                
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                                                <li>
                                                    <span>5: Module 05: Binomial and Normal Distributions</span>

                                                    <span>21:00</span>

                                                                                                                                                                
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                                                <li>
                                                    <span>6: Module 06: Introduction to Probability</span>

                                                    <span>23:42</span>

                                                        
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                                                    <span>7: Module 07: Estimates and Intervals</span>

                                                    <span>21:35</span>

                                                        
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                                                    <span>8: Module 08: Hypothesis Testing</span>

                                                    <span>21:51</span>

                                                        
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                                                    <span>9: Module 09: Regression Analysis</span>

                                                    <span>21:00</span>

                                                                                                                                                                
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                                                    <span>10: Module 10: Algorithms, Analytics and Predictions</span>

                                                    <span>31:05</span>

                                                        
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                                                    <span>11: Module 11: Learning From Experience: The Bayesian Way</span>

                                                    <span>20:08</span>

                                                        
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                                                    <span>12: Module 12: Doing Statistics: The Wrong Way</span>

                                                    <span>23:39</span>

                                                        
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                                                    <span>13: Module 13: How We Can Do Statistics Better</span>

                                                    <span>25:28</span>

                                                        
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                                                <li>
                                                    <span>14: CPD Certificate - Free</span>

                                                    <span>01:00</span>

                                                                                                                                                                
                                                                                                    </li>
                                        </ul>
                                    </li><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This Statistical Analysis Training course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Statistical Analysis Training. Moreover, this course is ideal for:</p><ul><li>Aspiring data analysts seeking statistical foundations for career advancement.</li><li>Professionals in research roles aiming to refine statistical analysis skills.</li><li>Students pursuing degrees in mathematics, economics, or related disciplines.</li><li>Business professionals looking to leverage data-driven insights for strategic decisions.</li><li>Anyone interested in enhancing statistical literacy and analytical reasoning abilities.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no requirements needed to enrol into this Statistical Analysis Training course. We welcome individuals from all backgrounds and levels of experience to enrol into this Statistical Analysis Training course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>After finishing this Statistical Analysis Training course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Statistical Analysis Training are: </p><ul><li>Data Analyst - £30K to £45K/year.</li><li>Statistician - £35K to £50K/year.</li><li>Market Research Analyst - £25K to £40K/year.</li><li>Business Intelligence Analyst - £35K to £55K/year.</li><li>Healthcare Data Analyst - £30K to £50K/year.</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Reed Courses Certificate of Completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><p>Will be downloadable when all lectures have been completed.</p></div>

                        </div>

Online Training Academy

Statistical Analysis Training

<p>In today's modern world, proficiency in <strong>Microsoft Excel</strong> is not just advantageous but essential for success in various professions. The Diploma in Excel: Microsoft Excel 2019 - An Introduction course provides a comprehensive overview of Microsoft Excel functionalities, catering to beginners and ensuring a solid foundation in spreadsheet management. With the increasing reliance on data analysis and presentation in workplaces, <strong>Excel skills have become indispensable</strong>. </p><p>In the UK job market, proficiency in Microsoft Excel is often a prerequisite for numerous roles across industries, ranging from administrative positions to financial analysis. The demand for Excel proficiency is reflected in competitive salaries, <strong>with entry-level positions offering an average annual salary of £25,000 to £30,000</strong>. </p><p><strong>Enrolling in this Microsoft Excel course</strong> equips learners with the ability to perform calculations, analyze data, create visual representations, and automate tasks using Microsoft Excel advanced features. it's evident that mastering this tool opens doors to countless career opportunities. Take the first step towards Microsoft Excel proficiency by enrolling in this Microsoft Excel course and acquire the knowledge essential for success in the modern professional landscape.</p><p><strong>Key Features:</strong></p><ul><li>CPD Certified Microsoft Excel Course</li><li>Instant e-certificate and hard copy dispatch by next working day</li><li>Fully online, interactive Microsoft Excel course with audio voiceover</li><li>Developed by qualified professionals in the field</li><li>Self-paced learning and laptop, tablet, smartphone-friendly</li><li>24/7 Learning Assistance</li><li>Discounts on bulk purchases</li></ul><p><strong>Course Curriculum:</strong></p><p><strong>Microsoft Excel 2019</strong></p><ul><li><strong>Module 01: </strong>Microsoft Excel 2019 New Features</li><li><strong>Module 02: </strong>Getting Started with Microsoft Office Excel</li><li><strong>Module 03: </strong>Performing Calculations</li><li><strong>Module 04: </strong>Modifying a Worksheet</li><li><strong>Module 05: </strong>Formatting a Worksheet</li><li><strong>Module 06: </strong>Printing Workbooks</li><li><strong>Module 07: </strong>Managing Workbooks</li><li><strong>Module 08: </strong>Working with Functions</li><li><strong>Module 09: </strong>Working with Lists</li><li><strong>Module 10: </strong>Analyzing Data</li><li><strong>Module 11: </strong>Visualizing Data with Charts</li><li><strong>Module 12: </strong>Using PivotTables and PivotCharts</li><li><strong>Module 13: </strong>Working with Multiple Worksheets and Workbooks</li><li><strong>Module 14: </strong>Using Lookup Functions and Formula Auditing</li><li><strong>Module 15: </strong>Sharing and Protecting Workbooks</li><li><strong>Module 16: </strong>Automating Workbook Functionality</li><li><strong>Module 17: </strong>Creating Sparklines and Mapping Data</li><li><strong>Module 18: </strong>Forecasting Data</li><li><strong>Module 19: </strong>Excel Templates</li></ul><p><strong>Learning Outcomes:</strong></p><ul><li>Acquire proficiency in Microsoft Excel 2019 features.</li><li>Perform basic to complex calculations effectively.</li><li>Master formatting techniques for professional-looking worksheets.</li><li>Analyze and visualize data using charts and PivotTables.</li><li>Develop skills in managing, sharing, and protecting workbooks.</li><li>Automate workbook functionality for increased efficiency.</li></ul><p><strong>Accreditation</strong></p><p>All of our courses are fully accredited, including this Diploma in Excel : Microsoft Excel 2019 - An Introduction Course, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in Excel : Microsoft Excel 2019 - An Introduction.</p><p><strong>Certification</strong></p><p>Once you've successfully completed your Diploma in Excel : Microsoft Excel 2019 - An Introduction Course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our Diploma in Excel : Microsoft Excel 2019 - An Introduction Course certification has no expiry dates, although we do recommend that you renew them every 12 months.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        15 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 Diploma in Excel : Microsoft Excel 2019 - An Introduction Course can be taken by anyone who wants to understand more about the topic. With the aid of this course, you will be able to grasp the fundamental knowledge and ideas. Additionally, this Diploma in Excel : Microsoft Excel 2019 - An Introduction Course is ideal for:</p><ul><li>Beginners aiming to learn Excel from scratch.</li><li>Professionals seeking to enhance Excel skills.</li><li>Students or job seekers requiring Excel proficiency.</li><li>Small business owners managing data and finances efficiently.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Learners do not require any prior qualifications to enrol on this Diploma in Excel : Microsoft Excel 2019 - An Introduction Course. You just need to have an interest in Diploma in Excel : Microsoft Excel 2019 - An Introduction Course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>After completing this Diploma in Excel : Microsoft Excel 2019 - An Introduction Course you will have a variety of careers to choose from. The following job sectors of this Course are:</p><ul><li>Data Entry Clerk - £18K to 25K/year.</li><li>Administrative Assistant - £18K to 28K/year.</li><li>Financial Analyst - £25K to 45K/year.</li><li>Business Intelligence Analyst - £30K to 55K/year.</li><li>Project Manager - £35K to 60K/year.</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4> Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><p>Once you've successfully completed your course, you will immediately be sent a FREE digital certificate.</p></div>
        <h4> Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK).<br />For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10.<br />Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.</p></div>

                        </div>

Training Express

Diploma in Excel : Microsoft Excel 2019 - An Introduction Course

<div id="course-pills-1">Duration<p>3.5 Days</p><p>21 CPD hours</p>This course is intended for<p>Intermediate Users of Office 365 and Excel</p>Overview<p>Creating Advanced Formulas<br />Analyzing Data with Logical and Lookup Functions<br />Organizing Worksheet Data with Tables<br />Visualizing Data with Charts<br />Analyzing Data with PivotTables, Slicers, and PivotCharts<br />Inserting Graphics<br />Enhancing Workbooks</p><p>This course builds upon the foundational Microsoft Office Excel 2016, you create advanced workbooks and worksheets using advanced formulas and organizing your data into tables.</p></div><div id="course-pills-2"><h4>Excel Intermediate </h4><ul><li>Learn how to navigate Pivot Tables, (for example, Create a Pivot Table/ add data/ Add calculations);  Formulas, Data organization (for example, multiple worksheets) </li><li></li></ul><h4>Excel Advanced </h4><ul><li>Data Analysis (for example, sparklines) , Macros (making changes to macros)  and Building A Fast Dashboard (PivotCharts, slicers, etc.)</li><li></li></ul><h4>Office 365 Training </h4><ul><li>Getting More with OneDrive</li><li></li></ul><h4>Office 365 Training </h4><ul><li>When is a Team a Team? Includes Using Video with Audio, Exploring Teams/Navigating among Teams etc. </li><li></li></ul></div>

Nexus Human

Office Skills & Productivity

Microsoft 365

Excel Analytics

Microsoft Virtual Academy (MVA)

Microsoft Excel

Microsoft Office

Instructor Rental for Virtual Private Group

<div id="isPasted" fr-original-style="" style="box-sizing: border-box;"><div id="isPasted" fr-original-style="" style="box-sizing: border-box;"><div style="color: rgb(18, 18, 18); box-sizing: border-box;" id="isPasted" fr-original-style="color: rgb(18, 18, 18);"><div style="color: rgb(18, 18, 18); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(18, 18, 18);"><div style="color: rgb(18, 18, 18); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(18, 18, 18);"><div style="color: rgb(18, 18, 18); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(18, 18, 18);"><h4 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Areas of Study</h4><ul fr-original-style="" style="box-sizing: border-box;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Energy and respiration</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Photosynthesis</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Homeostasis</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Control and coordination</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Inheritance</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Selection and evolution</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Classification, biodiversity and conservation</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Genetic technology A Level candidates also study practical skills.</li></ul></div><div style="color: rgb(18, 18, 18); box-sizing: border-box;" fr-original-style=" color: rgb(18, 18, 18);"><h4 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">The aims are to enable students to:</h4><ul fr-original-style="" style="box-sizing: border-box;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">acquire knowledge and understanding, and develop practical skills, including efficient, accurate and safe scientific practices</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">learn to apply the scientific method while developing an awareness of the limitations of scientific theories and models</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">develop skills in data analysis, evaluation and concluding, cultivating attitudes relevant to science such as objectivity, integrity, enquiry, initiative and inventiveness</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">develop effective scientific communication skills, using appropriate terminology and scientific conventions</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">understand their responsibility to others/society and to care for the environment</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">enjoy science and develop an informed interest in the subject that may lead to further study.</li></ul></div></div></div></div></div></div><div style="color: rgb(18, 18, 18); box-sizing: border-box;" fr-original-style=" color: rgb(18, 18, 18);"><br fr-original-style="" style="box-sizing: border-box;"></div>

Spark Generation

Biology

A Level Biology

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A2 Level Biology

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<p>Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified<strong> Business Analysis: Market Research Analyst</strong> bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our <strong>40 </strong>course mega bundle that will exceed your expectations within your budget.</p> <p>The<strong> Business Analysis: Market Research Analyst</strong> related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then <strong>StudyHub </strong>proposes a preparatory bundle. This comprehensive <strong> Business Analysis: Market Research Analyst</strong> bundle will help you build a solid foundation to become a proficient worker in the sector.</p> <p><strong>This Business Analysis: Market Research Analyst Bundle consists of the following</strong><strong> 30 </strong><strong>CPD Accredited Premium courses - </strong></p> <ul> <li>Course 1: Fundamentals of Business Analysis</li><li>Course 2: Business Intelligence Analyst</li><li>Course 3: Business Intelligence and Data Mining</li><li>Course 4: Research Methods in Business</li><li>Course 5: Financial Modelling for Decision Making and Business plan</li><li>Course 6: Investment</li><li>Course 7: Business Productivity Training</li><li>Course 8: Business Consultant</li><li>Course 9: Foundations of Business Strategy Consulting</li><li>Course 10: Business Performance Management</li><li>Course 11: Financial Analysis</li><li>Course 12: Financial Statement Analysis Masterclass</li><li>Course 13: Stakeholder Management Analyst</li><li>Course 14: Public Speaking</li><li>Course 15: Complete Communication Skills Master Class for Life</li><li>Course 16: Receptionist Skills</li><li>Course 17: Minute Taking Executive Training</li><li>Course 18: Time Management Training - Online Course</li><li>Course 19: Investment Analyst</li><li>Course 20: Market Research Analyst</li><li>Course 21: Make Business Plans: Forecasting and Budgeting</li><li>Course 22: Business Accounting Training</li><li>Course 23: Basic Business Finance</li><li>Course 24: Strategic Business Planning</li><li>Course 25: Business Development</li><li>Course 26: Business Plan for Entrepreneours</li><li>Course 27: Branding Fundamentals for New Business</li><li>Course 28: Business Development &amp; Sales</li><li>Course 29: Marketing Strategies for Business</li><li>Course 30: Financial Ratio Analysis for Business Decisions</li></ul> <p><strong>10 </strong><strong>Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques-</strong></p> <ul> <li>Course 1: Career Development Plan Fundamentals</li><li>Course 2: CV Writing and Job Searching</li><li>Course 3: Interview Skills: Ace the Interview</li><li>Course 4: Video Job Interview for Job Seekers</li><li>Course 5:  Create a Professional LinkedIn Profile</li><li>Course 6: Business English Perfection Course</li><li>Course 7: Networking Skills for Personal Success</li><li>Course 8: Boost Your Confidence and Self-Esteem</li><li>Course 9: Public Speaking Training</li><li>Course 10: Learn to Fight Procrastination</li></ul> <p><strong>Learning Outcome</strong></p> <p><strong>This tailor-made </strong><strong>Business Analysis: Market Research Analyst</strong><strong> bundle will allow you to-</strong></p> <ul> <li>Uncover your skills and aptitudes to break new ground in the related fields</li><li>Deep dive into the fundamental knowledge </li><li>Acquire some hard and soft skills in this area </li><li>Gain some transferable skills to elevate your performance</li><li>Maintain good report with your clients and staff</li><li>Gain necessary office skills and be tech savvy utilising relevant software </li><li>Keep records of your work and make a report </li><li>Know the regulations around this area</li><li>Reinforce your career with specific knowledge of this field </li><li>Know your legal and ethical responsibility as a professional in the related field</li></ul> <p>This Business Analysis: Market Research Analyst Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments.</p> <p><strong>Certification</strong></p> <p>After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and <strong>1 hardcopy certificate for the Title Course completely free</strong>. Other Hard Copy certificates need to be ordered at an additional cost of •8.</p> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                             <p>Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Business Analysis: Market Research Analyst bundle! This bundle is also ideal for professionals looking for career advancement.</p> 
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>To participate in this course, all you need is -</p> <ul> <li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in Business Analysis: Market Research Analyst</li></ul> 
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

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

Studyhub UK

Online Course Marketing

Business Analyst

Business Analysis

Business Studies

Business & Marketing

Business Data Analysis

Business Analysis: Market Research Analyst

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><b data-stringify-type="bold" style="color: rgb(209, 210, 211); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(209, 210, 211);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Welcome to Clinical Research Administration: Protocols and Ethics. In this course, you&#39;ll learn:</span></b></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><b data-stringify-type="bold" style="color: rgb(209, 210, 211); box-sizing: border-box;" fr-original-style=" color: rgb(209, 210, 211);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><br fr-original-style="" style="box-sizing: border-box;"></span></b></p><ol style="color: rgb(236, 236, 236); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(236, 236, 236);"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Introduction to Clinical Research Administration:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Overview of the clinical research landscape</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Historical perspective and evolution of clinical trials</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Key stakeholders and their roles in clinical research</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Clinical Trial Design and Planning:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Principles of study design</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Protocol development and optimization</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Budgeting and resource allocation</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Planning for participant recruitment and retention</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Ethics and Regulatory Compliance:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Understanding ethical principles in clinical research</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Overview of regulatory requirements and guidelines</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Importance of informed consent</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Addressing ethical challenges in research</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Institutional Review Boards (IRBs) and Ethics Committees:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Role and functions of IRBs and Ethics Committees</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">IRB submission and review process</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Ethical review and oversight</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Data Management and Recordkeeping:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Best practices in data collection and management</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Ensuring data integrity and quality</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Electronic data capture (EDC) systems</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Regulatory requirements for data storage and retention</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Safety Reporting and Adverse Events:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Adverse event reporting and monitoring</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Safety reporting to regulatory authorities</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Developing strategies for participant safety</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Clinical Trial Monitoring and Auditing:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Importance of monitoring and auditing</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Roles and responsibilities of monitors and auditors</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Implementing effective monitoring and auditing strategies</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Study Site Management and Quality Control:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Site selection and initiation</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Site management and quality assurance</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Ensuring compliance at study sites</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Data Analysis and Reporting:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Basics of statistical analysis in clinical research</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Interpreting and reporting study results</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Ensuring data integrity in analysis and reporting</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">The Future of Clinical Research:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Emerging trends in clinical research</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Innovation in study design and conduct</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Technological advancements in data collection and analysis</li></ul></li></ol>

John Academy

Clinical Research

Clinical Research Associate (CRA)

Explore the intricacies of Clinical Research Administration with our comprehensive course on Protocols and Ethics. Gain expertise in trial design, ethical considerations, regulatory compliance, and more. Prepare for a future in clinical research with practical insights and knowledge. Enroll now for a rewarding journey in advancing healthcare through responsible and ethical clinical trials.

Clinical Research Administration: Protocols and Ethics

<h3><b>Overview</b></h3>
<span>Enter the fascinating world of criminal investigation and test your deductive skills to see if they would suffice in the real-life incidents.            </span>

<span>This <strong>Criminology Complete Bundle</strong></span><b> </b><span>course brings together three fundamental areas of Policing (Profiling, Psychology, and Forensics) and trains you in their use.      </span>

<span>With true-crimes and 'armchair detection' being a popular pastime for many people, this innovative tutorial brings together different investigative techniques and explains their importance in the modern Justice System. You will be given opportunities to test and explore the theories in interactive exercises and see if a career in more law enforcement might be in your future. </span>
<h3><b>How will I get my certificate?</b></h3>
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.
<h3><b>Who is this course for?</b></h3>
<span>There is no experience or previous qualifications required for enrolment on this Criminology Complete Bundle</span><span>. It is available to all students, of all academic backgrounds.</span>
<h3><b>Requirements</b></h3>
<span>Our Criminology Complete Bundle </span><span>is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G.</span>

<span>There is no time limit for completing this course, it can be studied in your own time at your own pace.</span>
<h3><b>Career path</b></h3>
<span>Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business &amp; Management , Admin, Accountancy &amp; Finance, Secretarial &amp; PA, Teaching &amp; Mentoring etc.</span> <h3>Course Curriculum</h3><div><p>9 sections • 50 lectures • 13:07:00 total length</p></div><div><div><div><div><div><div><div><p>•Promo Video: 00:03:00</p></div><div><div><p>•What is Psychology: 00:10:00</p></div><div><div><p>•The Biological Approach: 00:10:00</p></div><div><div><p>•Behaviourist and Cognitive Approaches: 00:10:00</p></div><div><div><p>•Person-Centred Approaches: 00:08:00</p></div><div><div><p>•Research Methods in Psychology: 00:12:00</p></div><div><div><p>•Debates in Psychology: 00:13:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Social Influence: Compliance, Obedience and Conformity: 00:10:00</p></div><div><div><p>•Social Cognition: 00:09:00</p></div><div><div><p>•Applied Social Psychology: 00:10:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Perception: 00:10:00</p></div><div><div><p>•Attention: 00:02:00</p></div><div><div><p>•Remembering (Memory): 00:10:00</p></div><div><div><p>•Forgetting (Memory): 00:07:00</p></div><div><div><p>•Language: 00:10:00</p></div><div><div><p>•Thinking (Cognition): 00:07:00</p></div><div><div><p>•Attitudes: 00:10:00</p></div><div><div><p>•Problem-Solving and Artificial Intelligence: 00:09:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Issues in Child Development: 00:05:00</p></div><div><div><p>•Cognitive Development: 00:25:00</p></div><div><div><p>•The Development of Language and Communication: 00:06:00</p></div><div><div><p>•Social Perception (Interpersonal Perception): 00:06:00</p></div><div><div><p>•Moral Development: 00:09:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•The definition and Diagnosis of Atypical (Abnormal) Behaviour: 00:07:00</p></div><div><div><p>•Treatments of atypical (abnormal) behaviour: 00:07:00</p></div><div><div><p>•Emotional disorders: 00:05:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Research Methods: 00:06:00</p></div><div><div><p>•Research Issues: 00:06:00</p></div><div><div><p>•Data Analysis: 00:07:00</p></div><div><div><p>•Thank You and Good Bye!: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Resource Materials : Psychology: 00:00:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Module 01: Introduction to Criminology and Profiling: 00:23:00</p></div><div><div><p>•Module 02: Classification of Crime: 00:18:00</p></div><div><div><p>•Module 03: Violent Crimes: 00:29:00</p></div><div><div><p>•Module 04: The Crime Scene: 00:30:00</p></div><div><div><p>•Module 05: Dealing with Crime: 00:41:00</p></div><div><div><p>•Module 06: Understanding Criminal Psychology: 00:31:00</p></div><div><div><p>•Module 07: Forensic Science: 00:35:00</p></div><div><div><p>•Module 08: Phases of Profiling: 00:33:00</p></div><div><div><p>•Module 09: Criminal Profiling: Science, Logic and Metacognition: 00:28:00</p></div><div><div><p>•Module 10: Offender Profiling: Pragmatic Solution and Behavioural Investigative Advice: 00:22:00</p></div><div><div><p>•Module 11: Victimology: 00:25:00</p></div><div><div><p>•Module 12: The Criminal Justice System in England and Wales: 00:19:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Module 01: Introduction to Domestic Violence &amp; Abuse: 00:28:00</p></div><div><div><p>•Module 02: The Components of Domestic Violence: 00:25:00</p></div><div><div><p>•Module 03: The Impact of Domestic Violence on Victims: 00:32:00</p></div><div><div><p>•Module 04: The Impact of Domestic Violence and Abuse on Children: 00:50:00</p></div><div><div><p>•Module 05: Assessing the Risks of Domestic Violence and Abuses on Children: 00:15:00</p></div><div><div><p>•Module 06: Supporting the Victim and Reporting Incidents: 00:31:00</p></div><div><div><p>•Module 07: Record Keeping: 00:19:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Apex Learning

Forensic Psychology

Criminal Psychology

Criminal Profiling

Psychology Counselling

Trainers Course

Criminology

Criminology Complete Bundle

Essex

Join us this January for a FREE in-person workshop in Tendring, which introduces SMEs to a variety of AI tools useful for improving business processes! 
Established since 2007, KAT Marketing boasts a team of experts who draw on years of experience from partnering with businesses and organisations of various sizes and across numerous sectors.
Always at the cutting edge of the latest innovations within the corporate world, KAT has carefully monitored the increasing impact of AI. With a specific eye on the way the latest technologies can deliver more efficient and more effective solutions, KAT Marketing can help you boost efficiencies and effectiveness in your business through the power of AI with the support of qualified AI marketers.
This half-day training course is designed to deliver exactly that – a clear and concise explanation to the significance of AI as well as practical and specific demonstrations of how your business can see improved performance in data analysis, strategic planning, content generation and customer services. 

Event details
Date: Wednesday 22nd January, 2025
Time: 9:00am - 12:00pm (Arrival from 8:30am)
Location: Tendring District Council Town Hall - Committee Room: Station Road, Clacton-on-Sea CO15 1SE
For: Businesses based in North Essex (Braintree, Chelmsford, Colchester, Maldon, Tendring)

Tea, Coffee & Pastries will be served from 8:30am
 
What the workshop covers:
The influence of AI
What is AI and how does it work
How are we already using AI
How will AI be influencing business in the future 
Due diligence: AI and ethics
AI in Analysis and Strategy
Using AI to analyse data and create reports
How AI can provide advantages in strategic planning
Video, Audio, Avatars and Editing
Creating different media formats through AI 
How to generate avatars and AI-inspired interaction
Insights into text generation
Understanding frameworks for prompting 
How to customise your AI activity
Your next steps
Your action plan: how will AI work for you
Open Q and A to answer your questions

About the host:
Julian Read, Content Manager at KAT Marketing
With more than 25 years of experience in corporate communications and marketing, Julian Read’s career has included roles in strategic marketing, business development, project management and content creation, as well as working as an award-winning journalist and magazine editor.
Today, Julian is part of the Senior Management Team at KAT Marketing, a leading regional marketing agency based in Colchester. As well as leading training for businesses and organisations on a variety of aspects of marketing, Julian has developed an industry-leading insight into the value of AI and how it can be used safely and successfully within workplace settings.
Within his role at KAT Marketing, Julian has continued the firm’s proud tradition of being at the cutting edge of the latest innovations within the corporate world and carefully monitored the increasing impact of AI. As an expert in the use of AI in the workplace, Julian holds a number of Chartered Institute of Marketing-recognised qualifications in the use of AI including topics such as Strategy and Analytics, using AI for Video & Audio Creation and Generative AI Text Creation.
With a specific eye on the way the latest technologies can deliver more efficient and more effective solutions, Julian has gathered detailed knowledge of how we can expect AI to influence the way we do business in the future in order to provide specific guidance on how business leaders can boost efficiencies and effectiveness in the workplace through the power of AI.



This programme is delivered by the North Essex Economic Board (NEEB) in partnership with Let's Do Business Group.
Let's Do Business Group is undertaking this project jointly with the North Essex Economic Board (NEEB). The Board is a partnership of local authorities in the area: Braintree, Maldon, and Tendring district councils, Colchester Borough Council, Chelmsford City Council and Essex County Council.
This project is funded by the UK Government through the UK Shared Prosperity Fund.
The UK Shared Prosperity Fund is a central pillar of the UK government's Levelling Up agenda and provides £2.6 billion of funding for local investment by March 2025. The Fund aims to improve pride in place and increase life chances across the UK investing in communities and place, supporting local business, and people and skills. For more information, visit https://www.gov.uk/government/publications/uk-shared-prosperity-fund-prospectus
Please click here to see our Privacy Policy. Please note that your details may be shared with the North Essex Economic Board who are funding this project.



Let’s Do Business Group

Join us this January for a FREE in-person workshop in Tendring, which introduces SMEs to a variety of AI tools useful for improving business processes!

How to make AI work for you - Tendring

<p><strong> 24-Hour Flash Sale! Prices Reduced Like Never Before!! </strong></p><p><strong>Limited Time Offer: Virtual Assistant Training | Data Entry Administrator | Touch Typing | Personal Assistant Training</strong></p><p>From planning the <strong>meetings </strong>to <strong>business writing</strong>, a PA or a Virtual Assistant has to carry out various roles and responsibilities. Therefore, recruiters look for individuals who possess the skills and expertise to carry out these wide ranges of duties of PA or a Virtual Assistant. The Virtual Assistant &amp; PA with Data Entry, Touch Typing &amp; Microsoft Office Skills Course is designed to assist you in acquiring the essential skills to impress recruiters. It will enlighten you on all the core elements of a secretarial job within only a few steps.</p><p>This comprehensive Virtual Assistant bundle offers everything you need to launch a successful career as a VA or PA. You'll gain proficiency in high-speed, accurate <strong>Data Entry</strong>, master <strong>Touch Typing </strong>for efficient task completion, and develop advanced <strong>Microsoft Excel </strong>skills for data analysis and presentation. Additionally, you'll learn the fundamentals of <strong>Virtual Assistance </strong>and <strong>Personal Assistant </strong>duties, providing you with a well-rounded skillset to impress potential clients.</p><p><strong>Courses are Included in this Virtual Assistant &amp; PA with Data Entry, Touch Typing &amp; Microsoft Excel Training Bundle: </strong></p><ul><li><strong> Course 01: </strong>Virtual Assistant at QLS Level 2</li><li><strong> Course 02:</strong> PA - Personal Assistant Course</li><li><strong> Course 03: </strong>Data Entry Administrator at QLS Level 3</li><li><strong> Course 04: </strong>Certificate in Touch Typing</li><li><strong> Course 05: </strong>Microsoft Excel - Beginner, Intermediate &amp; Advanced</li></ul><p>Step into a career that offers flexibility, variety, and the opportunity to work with diverse clients around the globe. By completing this <strong>Virtual Assistant</strong> course, you'll boost your employability and gain the confidence to manage business operations smoothly and effectively. So, enrol now!</p><p><strong>Learning Outcomes of Virtual Assistant &amp; PA with Data Entry, Touch Typing &amp; Microsoft Excel Training: </strong></p><ul><li>Master data entry techniques for efficient and error-free information processing</li><li>Achieve proficiency in touch typing to boost your typing speed and accuracy</li><li>Develop comprehensive Microsoft Excel skills for data organisation, analysis, and presentation</li><li>Gain a thorough understanding of virtual assistant and personal assistant duties</li><li>Learn effective communication and organisational skills to excel in a client-facing role</li></ul><p><strong>Why Choose Us?</strong></p><ul><li>Get a <strong>Free CPD Accredited Certificate</strong> upon completion of this course</li><li>Get a <strong>free student ID card</strong> with this Training program (£10 postal charge will be applicable for international delivery)</li><li>This course is affordable and simple to understand</li><li>This course is <strong>entirely online, interactive lesson</strong> with voiceover audio</li><li>Get <strong>Lifetime access</strong> to this course materials</li><li>This course comes with <strong>24/7 tutor support</strong></li></ul> <p><strong>Start your learning journey straight away!</strong></p><p>Moreover, this diploma offers learners the opportunity to acquire skills that are highly valued in the field of <strong>Virtual Assistant</strong>. With this <strong>Certification</strong>, graduates are better positioned to pursue career advancement and higher responsibilities within the <strong>Virtual Assistant</strong> setting. The skills and knowledge gained from this course will enable learners to make meaningful contributions to <strong>Virtual Assistant</strong>-related fields, impacting their <strong>Virtual Assistant</strong> experiences and long-term development.</p><p><strong> Course Curriculum </strong></p><p><strong> Course 01: Virtual Assistant at QLS Level 2</strong></p><ul><li>Module 01: Introduction</li><li>Module 02: Different Types of Virtual Assistants</li><li>Module 03: Be a Virtual Assistant</li><li>Module 04: Must-Have Skills for Virtual Assistants</li><li>Module 05:Essential Tools</li><li>Module 06: Finding Your Niche</li><li>Module 07: Get Hired for VA Jobs</li><li>Module 08: How to Set VA Business</li><li>Module 09: Admin Support- a Vital Part of VA</li><li>Module 10: How to Manage Clients</li><li>Module 11: Working with a Virtual Team</li><li>Module 12: Data Security Measures</li></ul><p><strong> Course 02: PA - Personal Assistant Course</strong></p><ul><li>Module 01: Introduction to Personal Assistant</li><li>Module 02: Business Telephone Skills</li><li>Module 03: Representing Your Boss and Company</li><li>Module 04: Mail Services and Shipping</li><li>Module 05: Travel Arrangements</li><li>Module 06: Organising Meeting and Conferences</li><li>Module 07: Time Management</li><li>Module 08: Record Keeping and Filing Systems</li><li>Module 09: Business Writing Skills</li><li>Module 10:Organisational Skills</li></ul><p><strong> Course 03: Data Entry Administrator at QLS Level 3</strong></p><ul><li>Module 01: Making Data Entry Jobs Easier</li><li>Module 02: Getting Started With Microsoft Office Excel 2016</li><li>Module 03: Performing Calculations</li><li>Module 04: Modifying A Worksheet</li><li>Module 05: Formatting A Worksheet</li><li>Module 06: Printing Workbooks</li><li>Module 07: Managing Workbooks</li></ul><p><strong> Course 04: Certificate in Touch Typing</strong></p><ul><li>Module 01: Introduction</li><li>Module 02: How To Set Up Your Computer</li><li>Module 03: How To Type The Letters F And J</li><li>Module 04: How To Type The Letters D And K</li><li>Module 05: How To Type The Letters S And L</li><li>Module 06: How To Type The Letter A And ; (Semicolon)</li><li>Module 07: How To Type The Letters E And I</li><li>Module 08: How To Type The Letters R And U</li><li>Module 09: How To Type The Letters T And O</li><li>Module 10: How To Type CAPITAL Letters</li><li>Module 11: How To Type The Letter C And , (Comma)</li><li>Module 12: How To Type The Letters G And H</li><li>Module 13: How To Type The Letters N And V</li><li>Module 14: How To Type The Letters W And M</li><li>Module 15: How To Type The Letters Q And P</li><li>Module 16: How To Type The Letters B And Y</li><li>Module 17: How To Type The Letters Z And X</li><li>Module 18: How To Type Colon And Semicolon</li><li>Module 19: How To Type Full Stop And Comma</li><li>Module 20: How To Type Question Mark And Exclamation Mark</li><li>Module 21: How To Type Dash, Parentheses And Quotation Marks</li></ul><p><strong> Course 05: Microsoft Excel - Beginner, Intermediate &amp; Advanced</strong></p><ul><li>Unit 01: Excel From A-Z Course Introduction</li><li>Unit 02: Getting Started With Excel</li><li>Unit 03: Values, Referencing And Formulas</li><li>Unit 04: Intro To Excel Functions</li><li>Unit 05: Adjusting Excel Worksheets</li><li>Unit 06: Visually Pleasing Cell Formatting</li><li>Unit 07: How To Insert Images And Shapes!</li><li>Unit 08: Visualize Data With Charts</li><li>Unit 09: Excel's Printing Options</li><li>Unit 10: Benefits Of Using Excel Templates</li><li>Unit 11: Working With Excel Datasets</li><li>Unit 12: Excel Database Functions</li><li>Unit 13: Excel Data Validation</li><li>Unit 14: Excel PivotTables</li><li>Unit 15: Excel's PowerPivot Add-In</li><li>Unit 16: Excel's Conditional Functions</li><li>Unit 17: Excel's Lookup Function</li><li>Unit 18: Text Based Functions In Excel</li><li>Unit 19: Auditing Formulas And Views In Excel</li><li>Unit 20: Excel's 'What If?' Tools</li><li>Unit 21: Welcome To Excel VBA</li><li>Unit 22: The VBA Language</li><li>Unit 23: Writing VBA Code</li><li>Unit 24: Important VBA Tools And Logic</li><li>Unit 25: Excel VBA Lopps</li><li>Unit 26: Triggering Macros</li><li>Unit 27: Excel User Forms</li><li>Unit 28: Starting A Career In Excel</li></ul><p><strong>How will I get my Certificate?</strong></p><p>After successfully completing the course, you will be able to order your Certificates as proof of your achievement.</p><ul><li><strong>PDF Certificate: </strong><strong>Free </strong>(Previously, it was £12.99*5 = £65)</li></ul> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        160 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 interested in learning more about the topic is advised to take this bundle. This bundle is ideal for:</p><ul><li>Aspiring virtual assistants</li><li>Remote work enthusiasts</li><li>Administrative professionals</li><li>Career changers</li><li>Freelancers</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

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

                        <div id="career_path">
                            <p>After completing this bundle, you are to start your career or begin the next phase of your career.</p><ul><li>Virtual Assistant: £18,000 - £30,000</li><li>Data Entry Administrator: £16,000 - £25,000</li><li>Personal Assistant: £25,000 - £40,000</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Digital Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><p>Upon passing the Course, you need to order a <strong>Digital Certificate</strong> for each of the courses inside this bundle as proof of your new skills that are accredited by <strong>CPD QS </strong>for Free.</p></div>
        <h4>CPD Accredited Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            £29.99
        </p>
            <div><p><em>Please note that International students have to pay an additional £10 as a shipment fee.</em></p></div>
        <h4>Award in Virtual Assistant at QLS Level 2</h4>
        <p>
            Hard copy certificate -
            £79
        </p>
            <div><p><em>Please note that International students have to pay an additional £10 as a shipment fee.</em></p></div>

                        </div>

Academy for Health and Fitness

Data Entry, Touch Typing & Microsoft Excel Training for Virtual Assistant & Executive PA



The Real Estate Investment School is a four day course, that unravels the complexity of Investment Cash Flows through Advanced Modelling, Interpretation and Theory.
With a strong emphasis on practical application, you will gain a profound understanding of the complexities involved in analysing investment cash flows and interpreting their implications for effective decision-making.
Upon completion of the course, you will have the expertise to confidently model investment cash flows to a proficient level, empowering you to make informed financial decisions and drive positive outcomes for your investments.


The Investment focused school combines three of our courses:
Real Estate Analyst
Real Estate Modelling Masterclass
Understanding Key Principles of Real Estate Financial Modelling


On this course you will…
Construct Investment Financial Models starting from foundational principles
Learn how to value an appraise property investments.
Gain a comprehensive understanding of modelling tenancy schedules, including lease structures, rental income projections, lease expiry analysis, and lease renewal
Develop proficiency in creating robust models.
Understand how the application and use structure finance products in Real Estate
Learn advanced modelling techniques to analyse underlying asset risk
Appreciate the importance of data in investment cash flow modelling.
Gain a deep comprehension of the interrelationship between the metrics used in investment cash flow modelling


Who will benefit from this School?
Real Estate professionals at any level with exposure to real estate financial models on a frequent basis
Junior or new Real Estate Analysts who would like to start building their own real estate models quickly, rather than relying solely on coaching from existing team members
Mid-level to senior Real Estate Analysts
Real Estate Managers who would like to gain an understanding of the dynamics of debt and financial return fluctuations in more detail
Property industry modellers who would like to be fully proficient in building complex financial models


Course Outline
Day One
Real Estate Analyst I
Know how to build a property asset cash flow, analyse geared, and un-geared IRRs.
Term & Reversion and Layer Method Valuation (Intro to Excel)
Equivalent Yield (Solver, Scenario and Goal Seek functions)
Single-Let Discounted Cash Flow
Cash Flow inputs (Rents, Yields, Growth Rates, Target Returns)
Analysis and use of date series
Internal Rate of Return (IRR) and Net Present Value (NPV)
Comparing Value, Price and Worth
Adding borrowing and analysing geared returns
Introducing Rent Reviews and other ‘events’ into cash flows
The ‘Rent Function’ concept and Logic functions (IF,OR,AND)
Sensitivity analysis


Day Two
Real Estate Analyst II
Know how to build a multi-let property cash flow and apply the concepts on a hypothetical case study.
The ‘Rent Function’ and Multi-let cash flows
The ‘date problem’ and assumptions in property asset cash flows
Reducing the rent function, intermediate calculations and modelling theory
Modelling lease expiries, break clauses, voids, and upward only covenants
Incorporating time-varying rental growth rates
Analysing multi-let cash flows to see if the leases are sufficiently diversified
Further IRR analysis (XIRR, MIRR)


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


Day Four
Understanding Key Principles of Real Estate Financial Modelling
Real Estate Financial Modelling Mathematics
Time Value of Money
Net Present Value (NPV)
Internal Rare of Return (IRR)
Growth
What Discount Rate?
Certainty of a cash flow
Liquidity


Price, Value & Worth
Comparing Price, Value and Worth
Conventional Valuation Methods
Term and Reversion, Layer Method
Property Yields and Capitalisation Method
Exit calculations across Europe


Discounting 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


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 Investment School 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

Financial Modelling

Property Investment

Financial Analysis

Professional Development

The Real Estate Investment School is a four day course, that unravels the complexity of Investment Cash Flows through Advanced Modelling, Interpretation and Theory.

Real Estate Investment School (Investment Cash Flow Modelling)

<p id="isPasted" 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;"><br fr-original-style="" style="box-sizing: border-box;"></strong></strong></p><p id="isPasted" 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;">Real Estate Analyst</strong></strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Real Estate Analyst course has been taught non-stop to global real estate firms over the last 25 years, and is without doubt the core financial modelling training in your career portfolio. Whether you have an upcoming financial modelling test for a new job or an APC exam, the Real Estate Analyst course is the choice for you.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Create flexible real estate investment focused financial models in Excel. Case studies focus on core, core plus and value add property investments. This course shows you how to model income producing property with both annual and quarterly discounted cash flows, build rent functions, model costs and calculate returns. It also shows you how to interpret and analyse the results.</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&hellip;</strong></strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" fr-original-style="" style="box-sizing: border-box;">Learn how to structure an investment cash flow from first principles and how to value and appraise property investments</li><li value="2" fr-original-style="" style="box-sizing: border-box;">Build annual and quarterly discounted cash flows</li><li value="3" fr-original-style="" style="box-sizing: border-box;">Look in depth at modelling tenancy schedules: rent reviews, upward-only, break options, lease expiry</li><li value="4" fr-original-style="" style="box-sizing: border-box;">Build OPEX and CAPEX into your cash flow</li><li value="5" fr-original-style="" style="box-sizing: border-box;">Analyse risk using sensitivity tables and charts</li><li value="6" fr-original-style="" style="box-sizing: border-box;">Employ best practice and find solutions to common modelling problems</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 Investors</li><li value="2" fr-original-style="" style="box-sizing: border-box;">Surveyors</li><li value="3" fr-original-style="" style="box-sizing: border-box;">Portfolio Analysts</li><li value="4" fr-original-style="" style="box-sizing: border-box;">Investment Managers</li><li value="5" fr-original-style="" style="box-sizing: border-box;">Asset Managers</li><li value="6" fr-original-style="" style="box-sizing: border-box;">Real Estate professionals at any level with exposure to real estate financial models on a frequent basis</li><li value="7" fr-original-style="" style="box-sizing: border-box;">Mid-level to senior Real Estate Analysts who would like to start building their own real estate models quickly, rather than relying solely on coaching from existing team members</li><li value="8" fr-original-style="" style="box-sizing: border-box;">Junior or new Real Estate Analysts who would like to start building their own real estate models quickly, rather than relying solely on coaching from existing team members</li><li value="9" fr-original-style="" style="box-sizing: border-box;">APC candidates who would like the opportunity to consolidate their competencies by understanding how theory and variables interact within the precision context of a financial model.</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;">Day One</strong></strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Know how to build a property asset cash flow, analyse geared, and un-geared IRRs.</p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" fr-original-style="" style="box-sizing: border-box;">Term &amp; Reversion and Layer Method Valuation (Intro to Excel)</li><li value="2" fr-original-style="" style="box-sizing: border-box;">Equivalent Yield (Solver, Scenario and Goal Seek functions)</li><li value="3" fr-original-style="" style="box-sizing: border-box;">Single-Let Discounted Cash Flow</li><li value="4" fr-original-style="" style="box-sizing: border-box;">Cash Flow inputs (Rents, Yields, Growth Rates, Target Returns)</li><li value="5" fr-original-style="" style="box-sizing: border-box;">Analysis and use of date series</li><li value="6" fr-original-style="" style="box-sizing: border-box;">Internal Rate of Return (IRR) and Net Present Value (NPV)</li><li value="7" fr-original-style="" style="box-sizing: border-box;">Comparing Value, Price and Worth</li><li value="8" fr-original-style="" style="box-sizing: border-box;">Adding borrowing and analysing geared returns</li><li value="9" fr-original-style="" style="box-sizing: border-box;">Introducing Rent Reviews and other &lsquo;events&rsquo; into cash flows</li><li value="10" fr-original-style="" style="box-sizing: border-box;">The &lsquo;Rent Function&rsquo; concept and Logic functions (IF,OR,AND)</li><li value="11" fr-original-style="" style="box-sizing: border-box;">Sensitivity 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;">Day Two</strong></strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Know how to build a multi-let property cash flow and apply the concepts on a hypothetical case study.</p><ul fr-original-style="" style="box-sizing: border-box;"><li value="1" fr-original-style="" style="box-sizing: border-box;">The &lsquo;Rent Function&rsquo; and Multi-let cash flows</li><li value="2" fr-original-style="" style="box-sizing: border-box;">The &lsquo;date problem&rsquo; and assumptions in property asset cash flows</li><li value="3" fr-original-style="" style="box-sizing: border-box;">Reducing the rent function, intermediate calculations and modelling theory</li><li value="4" fr-original-style="" style="box-sizing: border-box;">Modelling lease expiries, break clauses, voids, and upward only covenants</li><li value="5" fr-original-style="" style="box-sizing: border-box;">Incorporating time-varying rental growth rates</li><li value="6" fr-original-style="" style="box-sizing: border-box;">Analysing multi-let cash flows to see if the leases are sufficiently diversified</li><li value="7" fr-original-style="" style="box-sizing: border-box;">Further IRR analysis (XIRR, MIRR)</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 fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For more information about the Real Estate Analyst such as course delivery methods, pricing and dates, please contact Sam on the Bayfield Training Sales team:</p><p id="isPasted" 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 Analyst
The Real Estate Analyst course has been taught non-stop to global real estate firms over the last 25 years, and is without doubt the core financial modelling training in your career portfolio. Whether you have an upcoming financial modelling test for a new job or an APC exam, the Real Estate Analyst course is the choice for you.
Create flexible real estate investment focused financial models in Excel. Case studies focus on core, core plus and value add property investments. This course shows you how to model income producing property with both annual and quarterly discounted cash flows, build rent functions, model costs and calculate returns. It also shows you how to interpret and analyse the results.


On this course, you will…
Learn how to structure an investment cash flow from first principles and how to value and appraise property investments
Build annual and quarterly discounted cash flows
Look in depth at modelling tenancy schedules: rent reviews, upward-only, break options, lease expiry
Build OPEX and CAPEX into your cash flow
Analyse risk using sensitivity tables and charts
Employ best practice and find solutions to common modelling problems


Who will benefit from this course?
Real Estate Investors
Surveyors
Portfolio Analysts
Investment Managers
Asset Managers
Real Estate professionals at any level with exposure to real estate financial models on a frequent basis
Mid-level to senior Real Estate Analysts who would like to start building their own real estate models quickly, rather than relying solely on coaching from existing team members
Junior or new Real Estate Analysts who would like to start building their own real estate models quickly, rather than relying solely on coaching from existing team members
APC candidates who would like the opportunity to consolidate their competencies by understanding how theory and variables interact within the precision context of a financial model.


Day One
Know how to build a property asset cash flow, analyse geared, and un-geared IRRs.
Term & Reversion and Layer Method Valuation (Intro to Excel)
Equivalent Yield (Solver, Scenario and Goal Seek functions)
Single-Let Discounted Cash Flow
Cash Flow inputs (Rents, Yields, Growth Rates, Target Returns)
Analysis and use of date series
Internal Rate of Return (IRR) and Net Present Value (NPV)
Comparing Value, Price and Worth
Adding borrowing and analysing geared returns
Introducing Rent Reviews and other ‘events’ into cash flows
The ‘Rent Function’ concept and Logic functions (IF,OR,AND)
Sensitivity analysis


Day Two
Know how to build a multi-let property cash flow and apply the concepts on a hypothetical case study.
The ‘Rent Function’ and Multi-let cash flows
The ‘date problem’ and assumptions in property asset cash flows
Reducing the rent function, intermediate calculations and modelling theory
Modelling lease expiries, break clauses, voids, and upward only covenants
Incorporating time-varying rental growth rates
Analysing multi-let cash flows to see if the leases are sufficiently diversified
Further IRR analysis (XIRR, MIRR)


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 Analyst 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 & Real Estate Photography

Continuous Professional Development (CPD)

The Real Estate Analyst course has been taught non-stop to global real estate firms over the last 25 years, and is without doubt the core financial modelling training in your career portfolio. Whether you have an upcoming financial modelling test for a new job or an APC exam, the Real Estate Analyst course is the choice for you.

Real Estate Analyst (Investment Cash Flow Modelling in Excel)

In-Person 

Virtual

<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

Real Estate Finance

Investment Management

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

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)

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			<h2>Overview of Data Analyst: Data Analysis in Excel</h2>		</div>
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					<div><p><span>Join our Data Analyst: Data Analysis in Excel course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Analyst: Data Analysis in Excel course has everything you need to get a great start in this sector.</span></p><p><span>Improving and moving forward is key to getting ahead personally. The Data Analyst: Data Analysis in Excel course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now!</span></p></div>
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			<h3>Get a Quick Look at The Course Content:</h3>		</div>
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			<h3>This <span>Data Analyst: Data Analysis in Excel</span> Course will help you to learn:</h3>		</div>
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										<span>Hone your skills to help you advance your career.</span>
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					<div><p><span>This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Analyst: Data Analysis in Excel. Enrol today and complete the course to achieve a certificate that can change your career forever.</span></p></div>
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			<h3>Perks of Learning with IOMH</h3>		</div>
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										<span>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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										<span>100% Money Back Guarantee.</span>
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										<span>12 Months Access.</span>
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			<h3>Process of Evaluation</h3>		</div>
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					<div><p>After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate.</p></div>
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			<h3>Certificate of Achievement</h3>		</div>
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					<div><h4><span>Certificate of Completion - Digital / PDF Certificate</span></h4>  
<p>After completing the <span>Data Analyst: Data Analysis in Excel course</span>, you can order your<span> CPD Accredited Digital / PDF Certificate for £5.99. </span></p>
<p><span>Certificate of Completion - Hard copy Certificate</span></p>
<p><span>You can get the CPD Accredited <b><i>Hard Copy Certificate for £12.99</i></b>.</span></p>
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<li><p><span>Inside the UK: £3.99</span></p></li>
<li><p><span>International: £10.99</span></p></li>
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			<h3>Who Is This Course for?</h3>		</div>
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					<div><p><span>This Data Analyst: Data Analysis in Excel is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. </span></p><p><span>On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. </span></p><p><span>This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education.</span></p></div>
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			<h3>Requirements</h3>		</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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					<td colspan="4">Modifying a Worksheet</td>
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					<td>Insert, Delete, and Adjust Cells, Columns, and Rows</td>
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					<td><span><i></i> 00:10:00</span></td>
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					<td>Search for and Replace Data</td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td>Use Proofing and Research Tools</td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td colspan="4">Working with Lists</td>
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					<td>Sort Data</td>
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					<td><span><i></i> 00:10:00</span></td>
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					<td>Filter Data</td>
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					<td><span><i></i> 00:10:00</span></td>
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					<td>Query Data with Database Functions</td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td><span><i></i> 00:13:00</span></td>
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					<td><span><i></i> 00:12:00</span></td>
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					<td><span><i></i> 00:12:00</span></td>
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					<td><span><i></i> 00:13:00</span></td>
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					<td>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>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
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					<td>Search for Invalid Data and Formulas with Errors</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
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					<td>Work with Macros</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
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					<td colspan="4">Creating Sparklines and Mapping Data</td>
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					<td><i></i></td>
					<td>Create Sparklines</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
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					<td>MapData</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
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					<td colspan="4">Forecasting Data</td>
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					<td>Determine Potential Outcomes Using Data Tables</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
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					<td>Determine Potential Outcomes Using Scenarios</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
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					<td>Use the Goal Seek Feature</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
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					<td>Forecasting Data Trends</td>
					<td> </td>
					<td><span><i></i> 00:05:00</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

Data Analysis

Big Data

Data Analyst

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



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)

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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

<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>

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</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>Learn strategies to boost your workplace efficiency.</span>
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								<li>
											<span>
							<i></i>						</span>
										<span>Hone your skills to help you advance your career.</span>
									</li>
								<li>
											<span>
							<i></i>						</span>
										<span>Acquire a comprehensive understanding of various topics and tips.</span>
									</li>
								<li>
											<span>
							<i></i>						</span>
										<span>Learn in-demand skills that are in high demand among UK employers</span>
									</li>
						</ul>
				</div>
				</div>
				<div>
				<div>
					<div><p><span>This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Business Data Analysis. Enrol today and complete the course to achieve a certificate that can change your career forever.</span></p></div>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2>Details
</h2>		</div>
				</div>
				<div>
				<div>
			<h4>Perks of Learning with IOMH</h4>  		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
							<i></i>						</span>
										<span>One-to-one support from a dedicated tutor throughout your course.</span>
									</li>
								<li>
											<span>
							<i></i>						</span>
										<span>Study online - whenever and wherever you want.</span>
									</li>
								<li>
											<span>
							<i></i>						</span>
										<span>Instant Digital/ PDF certificate</span>
									</li>
								<li>
											<span>
							<i></i>						</span>
										<span>100% money back guarantee</span>
									</li>
								<li>
											<span>
							<i></i>						</span>
										<span>12 months access</span>
									</li>
						</ul>
				</div>
				</div>
				<div>
				<div>
			<h4>Process of Evaluation</h4>  		</div>
				</div>
				<div>
				<div>
					<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>
						<div id="menu1">
							<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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