Name: IASSC Lean Six Sigma Green Belt (Exam Included) – 5 Day Evening Live Online Class
Price: 1595 GBP
Availability: InStock

<p>Unlock the power of machine learning with our Machine Learning with Python course. In this course, you'll learn the fundamentals of machine learning, exploring the life cycle of developing a machine learning model from scratch. With a comprehensive curriculum that covers everything from Numpy and Pandas libraries to decision tree classifiers and K-means clustering, this course is perfect for those looking to upskill in the latest technology.</p><p>Our course modules are designed to provide you with a hands-on learning experience. You'll learn how to create arrays from scratch, manipulate data using Numpy and Pandas libraries, and build and evaluate machine learning models. You'll also explore the world of data analysis with Pandas DataFrame and learn how to scale and encode data using the Sklearn pipeline and column transformer. By the end of this course, you'll have a deep understanding of how to build and evaluate machine learning models using Python.</p><p>This course is perfect for aspiring data scientists, machine learning engineers, and developers who want to gain real-world experience in machine learning development. With the skills and knowledge gained from this course, you'll be able to start a career in the exciting field of machine learning and contribute to the development of cutting-edge technology.</p><p><strong>Learning Outcomes:</strong></p><ul><li>Understand the fundamentals of machine learning.</li><li>Manipulate data using Numpy and Pandas libraries.</li><li>Build and evaluate machine learning models using Sklearn pipeline and column transformer.</li><li>Explore the world of data analysis with Pandas DataFrame.</li><li>Contribute to the development of cutting-edge technology in the field of machine learning.</li></ul><p>The Machine Learning with Python course is designed to provide you with the skills and knowledge needed to develop and evaluate machine learning models using Python. In this course, you'll learn how to manipulate data using Numpy and Pandas libraries, build and evaluate machine learning models using Sklearn pipeline and column transformer, and explore the world of data analysis with Pandas DataFrame. The course is perfect for aspiring data scientists, machine learning engineers, and developers interested in machine learning development.</p><p>By the end of this course, you'll have a deep understanding of the fundamentals of machine learning and how to contribute to the development of cutting-edge technology in this exciting field. With hands-on experience in manipulating data and building and evaluating machine learning models, you'll be well-equipped to start a career in machine learning.</p><p><strong>â±â± Machine Learning with Python Course</strong><strong> Course Curriculum </strong></p><ul><li><strong>Section 01: </strong>Introduction<strong><br /></strong></li><li><strong>Section 02: </strong>Numpy Library<strong><br /></strong></li><li><strong>Section 03: </strong>Matplotlib<strong><br /></strong></li><li><strong>Section 04: </strong>Polynomial Regression</li></ul><p><strong>How is the course assessed?</strong></p><p>Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%.</p><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 __ GBP. £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>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <ul><li>Aspiring data scientists.</li><li>Machine learning engineers.</li><li>Developers interested in machine learning development.</li><li>Anyone interested in the field of machine learning.</li><li>Professionals looking to upskill in the latest technology.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Aspiring data scientists.</li><li>Machine learning engineers.</li><li>Developers interested in machine learning development.</li><li>Anyone interested in the field of machine learning.</li><li>Professionals looking to upskill in the latest technology.</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            £9
        </p>
            <div> <p>You can apply for a CPD Accredited PDF Certificate at the cost of £9.</p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            £15
        </p>
            <div> <p>Hard copy can be sent to you via post at the expense of £15.</p> </div>

                        </div>

One Education

Machine Learning with Python Course

General Admission

<p>The world of finance can be unpredictable and ever-changing. Gain a competitive edge with our Hands-on Deep Learning Projects - Stock Price Prognostics course. In this course, you'll learn how to build a deep learning model using RNN that can accurately predict stock prices. With a comprehensive curriculum that covers everything from data preprocessing to model building and evaluation, this course is perfect for those looking to upskill in the field of deep learning.</p><p>Our course modules are designed to provide you with a hands-on learning experience. You'll learn how to install tools and libraries, explore datasets, perform exploratory data analysis, and build and evaluate a deep learning model. You'll also learn how to scale features and make predictions on test data. By the end of this course, you'll have a deep understanding of how to develop cutting-edge technology that can revolutionise the world of finance.</p><p>This course is perfect for aspiring data scientists, machine learning engineers, and developers who want to gain real-world experience in deep learning development. With the skills and knowledge gained from this course, you'll be able to start a career in the exciting field of deep learning and contribute to the development of cutting-edge technology in the finance industry.</p><p><strong>Learning Outcomes:</strong></p><ul><li>Build a deep learning model using RNN that can accurately predict stock prices.</li><li>Preprocess data and perform exploratory data analysis.</li><li>Scale features and make predictions on test data.</li><li>Gain real-world experience in deep learning development.</li><li>Contribute to the development of cutting-edge technology in the finance industry.</li></ul><p>The Hands-on Deep Learning Projects - Stock Price Prognostics course is designed to provide you with the skills and knowledge needed to develop a deep learning model using RNN that can accurately predict stock prices. In this course, you'll learn how to preprocess data, perform exploratory data analysis, scale features, and make predictions on test data. The course is perfect for aspiring data scientists, machine learning engineers, and developers interested in deep learning development.</p><p>By the end of this course, you'll have a deep understanding of how to build a deep learning model that can revolutionise the world of finance. With hands-on experience in developing cutting-edge technology, you'll be well-equipped to start a career in deep learning and contribute to the development of cutting-edge technology in the finance industry.</p><p><strong>â±â± Hands on Deep Learning Projects - Stock price Prognostics</strong><strong> Course Curriculum </strong></p><ul><li><strong>Section 01: </strong>Introduction</li><li><strong>Section 02:</strong> Installation of Tools and Libraries</li><li><strong>Section 03: </strong>Dataset</li><li><strong>Section 04: </strong>EDA</li><li><strong>Section 05: </strong>Feature Scaling</li><li><strong>Section 06: </strong>Building RNN</li><li><strong>Section 07: </strong>Prediction on Test Data</li><li><strong>Section 08: </strong>Output</li></ul><p><strong>How is the course assessed?</strong></p><p>Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%.</p><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 __ GBP. £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>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <ul><li>Aspiring data scientists.</li><li>Machine learning engineers.</li><li>Developers interested in deep learning development.</li><li>Anyone interested in the field of deep learning.</li><li>Professionals looking to upskill in the latest technology.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Scientist: £40,000 to £80,000 per year.</li><li>Machine Learning Engineer: £55,000 to £90,000 per year.</li><li>Artificial Intelligence Developer: £40,000 to £80,000 per year.</li><li>Quantitative Analyst: £30,000 to £80,000 per year.</li><li>Financial Data Analyst: £25,000 to £60,000 per year.</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            £9
        </p>
            <div> <p>You can apply for a CPD Accredited PDF Certificate at the cost of £9.</p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            £15
        </p>
            <div> <p>Hard copy can be sent to you via post at the expense of £15.</p> </div>

                        </div>

Hands on Deep Learning Projects - Stock price Prognostics Course

<h2 style="color: var(--text-heading); box-sizing: border-box;" id="isPasted" fr-original-style="color: var(--text-heading);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">This course at a glance</span></strong></h2><ul style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Accredited by CPDQE</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Set up SQL servers and databases for efficient query development.</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Master fundamental SQL commands for data manipulation and structure.</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Utilize filtering techniques to extract specific data rows from databases.</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Perform aggregate functions for statistical analysis and data summarization.</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Explore advanced SQL concepts, including joins, group by statements, and constraints.</span></li></ul><div data-id="4afcd14" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(35, 35, 35); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(35, 35, 35);"><div data-id="4afcd14" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(35, 35, 35); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(35, 35, 35);"><div data-id="4afcd14" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(35, 35, 35); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(35, 35, 35);"><div data-id="4afcd14" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(35, 35, 35); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(35, 35, 35);"><div data-id="4afcd14" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(35, 35, 35); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(35, 35, 35);"><div data-id="4afcd14" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(35, 35, 35); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(35, 35, 35);"><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(38, 99, 82) !important;">Unlock the power of data manipulation with our &ldquo;Master SQL Database Queries&rdquo; course. Whether you&rsquo;re a novice or seasoned professional, this comprehensive training program will equip you with the skills needed to excel in SQL query development. From setting up SQL servers to advanced data analysis techniques, delve into a hands-on learning experience that will transform you into a proficient SQL query expert. Explore SQL fundamentals, master essential commands, and discover advanced concepts for efficient database management and analysis.</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Begin your journey with an introduction to SQL and the setup of SQL servers, including SQL Server and SQL Azure Data Studio. Familiarize yourself with SQL databases, data structures, and user management, laying a strong foundation for query development. Dive deep into SQL statements for data manipulation, learning techniques for filtering data rows, performing aggregate functions, and optimizing query performance.</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">As you progress, explore advanced SQL concepts such as joins, group by statements, constraints, and views, unlocking the potential for complex data analysis. Master the art of writing SQL stored procedures and gain insights into data visualization using Azure Data Studio. Learn to import, export, backup, and restore databases, ensuring seamless data management and integrity. By the end of this course, you&rsquo;ll have the skills and confidence to tackle any SQL query challenge with ease.</p></div></div></div></div></div></div><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">Accredited by</span></h3><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">This course is <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPDQE&nbsp;</strong>accredited, which serves as an impactful mechanism for skill enhancement.&nbsp;</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Continuing Professional Development (CPD) stands as a crucial, widely acknowledged method that aids individuals, organisations, and entire industries in staying current with their skills and knowledge.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">CPD not only facilitates the elevation of global standards and benchmarks, aligning with the growing forces of globalisation and consumer expectations but also transforms learning into a deliberate and proactive process. It motivates professionals to uphold a consistently high level of performance and demonstrates their unwavering commitment to a specific job role or profession.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">Course Curriculum</span></strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Introduction</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">SQL Server setting up</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">SQL Azure Data Studio</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">SQL Databases basic SSMS</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">SQL Statements for DATA</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">SQL Data Structure statements</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">SQL User Management</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">SQL Statement basic</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Filtering Data rows</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Aggregate functions</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">SQL Query statements</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">SQL Group by statement</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">JOINS for Multiple table Data Analysis</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">SQL Constraints</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Views</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Advanced SQL commands</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">SQL stored procedure</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Azure Data Studio Visualization</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Azure Studio SQL for Data Analysis</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Import &amp; Export data</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Backup and Restore Database</strong></li></ul>

LearnDrive UK

Microsoft 365

Microsoft Excel

Microsoft Office

Microsoft Azure

Master SQL Database Queries with our comprehensive course. Learn SQL fundamentals, advanced techniques, and data analysis skills for efficient database management.
















Master SQL Database Queries

<p>Unlock the power of Microsoft Excel with our comprehensive bundle, "Microsoft Excel Essentials for New Managers." This carefully curated bundle encompasses 11 courses, offering an in-depth exploration of Excel's functionalities, from mastering Power Query in just 120 minutes to automating dashboards using advanced formulas, VBA, and Power Query. Dive into new functions, explore cash flow management, and gain expertise in depreciation accounting. With an Advanced Diploma in Microsoft Excel as the cornerstone, this bundle ensures you're equipped with essential skills for effective managerial tasks.</p><p>In an ever-evolving business landscape, proficiency in Excel is non-negotiable. Elevate your managerial prowess by learning to compare Excel sheets with VBA, create automated dashboards, and employ Power Query and Power Pivot. Sharpen your financial acumen with courses on business accounting and depreciation accounting. Boost your productivity with 25 must-know formulas and functions. </p><p>So, seize the reins of your managerial journey-enlist in the bundle now and turbocharge your leadership arsenal!</p><p><strong>What will you learn from this CPDQS Accredited Microsoft Excel Essentials for New Managers bundle? </strong></p><p>By the end of this bundle, you will be able to:</p><ul><li>Analyse and compare Excel sheets efficiently using VBA.</li><li>Master advanced Excel functions for strategic financial decision-making.</li><li>Automate dynamic dashboards with advanced formulas, VBA, and Power Query.</li><li>Apply Power Query and Power Pivot for streamlined data analysis.</li><li>Demonstrate proficiency in cash flow management using Microsoft Excel.</li><li>Develop a strategic understanding of depreciation accounting principles.</li></ul><p>This bundle seamlessly navigates the expansive realm of Microsoft Excel, offering a transformative learning experience for aspiring managers. Covering a spectrum of Excel mastery, from delving into advanced functions and comparing sheets with VBA to automating dynamic dashboards using advanced formulas, VBA, and Power Query, this comprehensive curriculum ensures a well-rounded understanding. Gain insights into strategic financial decision-making, cash flow management, and depreciation accounting principles, elevating your managerial prowess with 11 courses tailored to enhance your Excel proficiency and business acumen.</p><p>The Microsoft Excel Essentials for New Managers bundle consists of the following courses:</p><ol><li> Advanced Diploma in Microsoft Excel</li><li> Microsoft Excel Complete Course 2019</li><li> Microsoft Excel: Master Power Query in 120 Minutes!</li><li> New Functions in Microsoft Excel</li><li> Microsoft Excel Training: Depreciation Accounting</li><li> Microsoft Excel for Business Accounting</li><li> Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li> Microsoft Excel for Cash Flow Management</li><li> Microsoft Excel: Excel Sheet Comparison with VBA</li><li> Microsoft Excel - 25 Must-Know Formulas and Functions</li><li> Power Query and Power Pivot in Microsoft Excel: A Quickstart Guide</li></ol><p><strong>Certification</strong><br />Once you have finished the course, you will be eligible to apply for a CPD QS accredited certificate as proof of your new skills and your continued professional development.<br />The learner will get FREE PDF Certificate for the Advanced Diploma in Microsoft Excel course.<br />For the rest of the courses the following fee structure will be applicable.<br />â¦    CPD QS Accredited PDF Certificate: £9<br />â¦    CPD QS Accredited Hardcopy Certificate: £15 (Additional £10 will be charged for International Students).<br /></p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        35 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>Empower new managers with essential Microsoft Excel skills for success.</p><ul><li>New managers seeking proficiency in Microsoft Excel for daily tasks.</li><li>Entry-level supervisors aiming to streamline data management using Excel.</li><li>Professionals transitioning to managerial roles requiring Excel competence.</li><li>Managers with limited Excel experience looking to enhance spreadsheet efficiency.</li><li>Business leaders who recognise the strategic value of Excel in management.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No prerequisites, and no boundaries-this bundle welcomes all eager minds. Whether you're a data wizard in the making or a managerial maestro in training, dive into Microsoft Excel Essentials for New Managers. Unleash your potential with a curriculum that knows no bounds-because brilliance has no requirements!</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Financial Analyst: £35,000 - £45,000</li><li>Operations Manager: £40,000 - £60,000</li><li>Data Analyst: £25,000 - £35,000</li><li>Project Coordinator: £25,000 - £35,000</li><li>Business Intelligence Analyst: £30,000 - £45,000</li><li>Management Consultant: £40,000 - £70,000</li></ul>
                        </div>

Microsoft Excel Essentials for New Managers Course

Packt

Scala

Apache Spark

Big Data

Data Processing

This is a comprehensive and practical Apache Spark course. In this course, you will learn and master the art of framing data analysis problems as Spark problems through 20+ hands-on examples, and then scale them up to run on cloud computing services. Explore Spark 3, IntelliJ, Structured Streaming, and a stronger focus on the DataSet API.

Apache Spark with Scala - Hands-On with Big Data!

<p>UK businesses are churning out data faster than a London Tube on rush hour. But without the right tools, it's just a noisy ocean. Introducing the Microsoft Power BI Bundle, your life jacket in the data deluge.</p><p>Master Power BI, the UK's fastest-growing BI tool, and turn raw numbers into crystal-clear insights. Build stunning dashboards, drill down into trends, and predict future performance like a market wizard. Plus, learn how Power BI seamlessly integrates with your existing Microsoft tools - think Excel superpowers on steroids!</p><p>Don't let your data drown your potential. Dive into the Microsoft Power BI Bundle and transform your business intelligence - enroll now!</p><p>Whether you're a data enthusiast, business professional, or aspiring analyst, this bundle offers unparalleled insights. Enroll now to transform your proficiency in Microsoft tools and Power BI!</p><p><strong>Learning Outcomes:</strong></p><ul><li>Master Power BI fundamentals in 90 minutes.</li><li>Utilize PowerBI formulas for advanced data analysis.</li><li>Implement big data analytics with PySpark, Power BI, and MongoDB.</li><li>Develop big data pipelines using R, Sparklyr, and Power BI.</li><li>Attain advanced skills in Microsoft Excel, Access, Word, and Outlook.</li></ul><p>This comprehensive bundle covers Power BI mastery, advanced Excel skills, and proficiency in Microsoft tools. From mastering Power BI's essentials to advanced analytics with PySpark, MongoDB, and R, this course ensures a well-rounded expertise. Dive into Microsoft Excel, Access, Word, and Outlook for a holistic understanding of Microsoft's powerful suite. Perfect for data enthusiasts, business professionals, and aspiring analysts, this bundle unlocks the full potential of Microsoft tools and Power BI.</p><p>This CPDQS Accredited Microsoft Power BI Bundle with Other Microsoft Tools consists of the following 11 courses:</p><ul><li>Microsoft Power BI - Master Power BI in 90 Minutes!</li><li>Getting Results with PowerBI</li><li>PowerBI Formulas</li><li>Big Data Analytics with PySpark Power BI and MongoDB</li><li>Microsoft PowerBI - 25 Must-Know Tips and Tricks</li><li>Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</li><li>Advanced Diploma in Microsoft Excel</li><li>Microsoft Access for Beginners</li><li>Microsoft Word Advanced</li><li>The Complete Microsoft Outlook Masterclass</li></ul><p><strong>Certification</strong><br />Once you have finished the course, you will be eligible to apply for a CPD QS accredited certificate as proof of your new skills and your continued professional development. Certificates are available as PDF for £9, or you can request a hard copy to be sent in the post for £15.<br /></p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        35 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>Unlock the power of Microsoft tools with our comprehensive course designed for:</p><ul><li>Data enthusiasts</li><li>Business professionals</li><li>Aspiring analysts</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This course is open to all and doesn't have any formal requirements. Embrace your curiosity!</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Business Intelligence Analyst - £45,000</li><li>Data Analyst - £40,000</li><li>Database Developer - £50,000</li><li>Excel Specialist - £35,000</li><li>Office 365 Administrator - £55,000</li></ul>
                        </div>

Microsoft Power BI Bundle with Other Microsoft Tools Course

<p><strong>Get Hard Copy + PDF Certificates + Transcript + Student ID Card as a Gift - Enrol Medical Writing, Clinical Coding &amp; Medical Transcription Now</strong></p><p>Medical writing is the practice of writing scientific documents by writers in the field of medicine. It is one of the fastest developing career opportunities that involve writing topics related to the healthcare and drug development Industry. There is a large demand for Medical Writing, Clinical Coding &amp; Medical Transcription professionals. You get exposed to multiple career opportunities with various contract research organisations, healthcare websites, journals, magazines, pharmaceutical companies, and more.</p><p>Furthermore, to help you showcase your expertise in Medical Writing, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest.</p><p><strong>This Medical Writing, Clinical Coding &amp; Medical Transcription Bundle Consists of the following Premium courses: </strong></p><ul><li><strong> Course 01: </strong>Medical Writing</li><li><strong> Course 02: </strong>Clinical Coding</li><li><strong> Course 03: </strong>Medical Transcription</li><li><strong> Course 04: </strong>Clinical Data Analysis with SAS</li><li><strong> Course 05: </strong>Medical Terminology Training</li><li><strong> Course 06: </strong>Biomedical Science</li><li><strong> Course 07: </strong>European Medical Device Regulations</li><li><strong> Course 08: </strong>Public Health</li><li><strong> Course 09: </strong>Medical Law</li><li><strong> Course 10: </strong>GDPR in Healthcare</li><li><strong> Course 11: </strong>Content Management<strong><br /></strong></li><li><strong> Course 12: </strong>Write and Publish a Research Paper: Complete Guide v6 </li><li><strong> Course 13: </strong>Improve English Spelling, Punctuation, Grammar and Pronunciation</li><li><strong> Course</strong> 14: Decision Making and Critical Thinking</li></ul><p><strong>Key features of this Medical Writing, Clinical Coding &amp; Medical Transcription course:</strong></p><ul><li>This Medical Writing, Clinical Coding &amp; Medical Transcription is CPD QS Accredited</li><li>Learn from anywhere in the world</li><li>Lifetime access</li><li>Medical Writing, Clinical Coding &amp; Medical Transcription is entirely online</li><li>24/7 Learner support</li></ul><p>Enrol now in Medical Writing, Medical Coding &amp; Medical Transcription to advance your career, and use the premium study materials from<strong> Apex Learning.</strong></p><p><strong>How will I get my Medical Writing, Clinical Coding &amp; Medical Transcription Certificate?</strong></p><p>After successfully completing the Medical Writing, Clinical Coding &amp; Medical Transcription course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p><ul><li><strong>PDF Certificate: Free (For The Title Course)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course)</strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        140 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 Medical Writing, Clinical Coding &amp; Medical Transcription Bundle.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Medical Writing, Clinical Coding &amp; Medical Transcription Course has been designed to be fully compatible with tablets and smartphones.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Having this Medical Writing, Clinical Coding &amp; Medical Transcription various expertise will increase the value of your CV and open you up to multiple job sectors.</p>
                        </div>

Apex Learning

Medical Writing, Clinical Coding & Medical Transcription

Hudson

5 day live online class
Total duration: 15 hours
Classes run once a month from 18:30-21:30 GMT (13:30-14:30 EST) over a 5 day period

IASSC Lean Six Sigma Green Belt (Exam Included) – 5 Day Evening Live Online Class

General admission



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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					<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>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h3>Get a Quick Look at The Course Content:</h3>		</div>
				</div>
				<div>
				<div>
					<div>
							
					<div></div>
										<div></div>
														
							
					<div></div>
										<div></div>
														
							
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					</div>
			</div>
				</div>
						</div>
			</div>
		</div>
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			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h3>This <span>Data Analyst: Data Analysis in Excel</span> Course will help you to learn:</h3>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
							<i></i>						</span>
										<span>Learn strategies to boost your workplace efficiency.</span>
									</li>
								<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 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>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2>Details</h2>		</div>
				</div>
				<div>
				<div>
			<h3>Perks of Learning with IOMH</h3>		</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>
			<h3>Process of Evaluation</h3>		</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>
			<h3>Certificate of Achievement</h3>		</div>
				</div>
				<div>
				<div>
					<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>
<div><span> </span></div>
<div><span>Shipping Charges:</span><span><span><br /></span></span></div>
<ul>
<li><p><span>Inside the UK: £3.99</span></p></li>
<li><p><span>International: £10.99</span></p></li>
</ul></div>
				</div>
				</div>
				<div>
				<div>
			<h3>Who Is This Course for?</h3>		</div>
				</div>
				<div>
				<div>
					<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>
				</div>
				</div>
				<div>
				<div>
			<h3>Requirements</h3>		</div>
				</div>
				<div>
				<div>
					<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>
				</div>
				</div>
				<div>
				<div>
			<h3>Career Path</h3>		</div>
				</div>
				<div>
				<div>
					<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>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2><u>Frequently Asked Questions (FAQ's)</u></h2>		</div>
				</div>
				<div>
				<div>
					<div>
							<div>
					<div id="elementor-tab-title-1721">
													<span>
															<span><i></i></span>
								<span><i></i></span>
														</span>
												Q. How do I purchase a course?
					</div>
					<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>
				</div>
							<div>
					<div id="elementor-tab-title-1722">
													<span>
															<span><i></i></span>
								<span><i></i></span>
														</span>
												Q. I have purchased the course when will I be able to access the materials?
					</div>
					<div id="elementor-tab-content-1722"><p>After purchasing the course, you should receive an email with the login credentials within 24 hours. Please check your spam or junk folder if you didn't receive it in your inbox. You can access your courses by logging into your account. If you still need any assistance, please get in touch with our Customer Support team by providing the details of your purchase.</p></div>
				</div>
							<div>
					<div id="elementor-tab-title-1723">
													<span>
															<span><i></i></span>
								<span><i></i></span>
														</span>
												Q. I haven't received my certificate yet. What should I do?
					</div>
					<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>
				</div>
							<div>
					<div id="elementor-tab-title-1724">
													<span>
															<span><i></i></span>
								<span><i></i></span>
														</span>
												Q. I don't have a credit/debit card, what other methods of payment do you accept?
					</div>
					<div id="elementor-tab-content-1724"><p>You can make the payment using PayPal or you can Bank Transfer the amount.</p><p>For Bank transfer you will require an invoice from us and you need to contact our Customer Support team and provide details of your purchase to get the invoice.</p><p>After that, you will receive an email with the invoice and bank details and you can make the payment accordingly.</p></div>
				</div>
							<div>
					<div id="elementor-tab-title-1725">
													<span>
															<span><i></i></span>
								<span><i></i></span>
														</span>
												Q. Can I do the courses from outside UK?
					</div>
					<div id="elementor-tab-content-1725"><p>We are an online course provider, and learners from anywhere in the world can enrol on our courses using an internet-connected device.</p></div>
				</div>
							<div>
					<div id="elementor-tab-title-1726">
													<span>
															<span><i></i></span>
								<span><i></i></span>
														</span>
												Q. When I log into the account it says 'Contact Administrator'.
					</div>
					<div id="elementor-tab-content-1726"><p>To resolve this issue, please log out of your account and then log back in.</p></div>
				</div>
					</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">Modifying a Worksheet</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Insert, Delete, and Adjust Cells, Columns, and Rows</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Search for and Replace Data</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Use Proofing and Research Tools</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Working with Lists</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sort Data</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Filter Data</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Query Data with Database Functions</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Outline and Subtotal Data</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Analyzing Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Apply Intermediate Conditional Formatting</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Apply Advanced Conditional Formatting</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Visualizing Data with Charts</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create Charts</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Modify and Format Charts</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Use Advanced Chart Features</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Using PivotTables and PivotCharts</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a PivotTable</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Analyze PivotTable Data</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Present Data with PivotCharts</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Filter Data by Using Timelines and Slicers</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Working with Multiple Worksheets and Workbooks</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Use Links and External References</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Use 3-D References</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Consolidate Data</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Using Lookup Functions and Formula Auditing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Use Lookup Functions</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Trace Cells</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Watch and Evaluate Formulas</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Automating Workbook Functionality</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Apply Data Validation</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Search for Invalid Data and Formulas with Errors</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Work with Macros</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Creating Sparklines and Mapping Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create Sparklines</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>MapData</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Forecasting Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Determine Potential Outcomes Using Data Tables</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Determine Potential Outcomes Using Scenarios</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Use the Goal Seek Feature</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Forecasting Data Trends</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
									</div>
						</div>
						<div id="menu2">
							
						</div>

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

Data Analyst

Business Data Analysis

Data Analyst: Data Analysis in Excel



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)

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

Nexus Human

Powerbi

Business Analytics & Intelligence

Microsoft Power BI

Microsoft Power Platform

Microsoft BI

PL-300T00 Microsoft Power BI Data Analyst

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

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

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

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



On this course, you will…

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


Who will benefit from this course:

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


Course Outline

Module 1: What is and why buy Real Estate?

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


Module 2: The Real Estate Market System

The Space Market
The Asset Market
The Development Market


Module 3: How to value Real Estate

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


Module 4: How to read a Real Estate Market Report

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


Module 5: Who works in Real Estate?

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


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

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

                        <div id="cpd">
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                                        125 CPD hours / points
                                    </div>
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                                            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

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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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