Name: Business and Data Analytics for Beginners Course
Price: 12 GBP
Availability: InStock

<div id="course-pills-1">Duration<p>1 Days</p><p>6 CPD hours</p>This course is intended for<p>The intended audience for this course would be those who have been using Office 365 for some time and are now looking at optimizing their existing business processes and designing new ones.</p>Overview<p>#NAME?</p><p>This course delivers an instructor-led product showcase for Microsoft Power Automate from start to finish in an engaging and practical way. Power Automate is a diverse product, turning business processes into automated, consistent and visual workPower Automates. Power Automate is designed to interweave the various products in Office 365 as well as connect to other on-premises and web-based solutions. This course will give you the confidence to select the right actions and workPower Automate logic for your business workPower Automates.</p></div><div id="course-pills-2"><h3>1 - An Introduction to Power Automate</h3> <ul> <li>What is Microsoft Power Automate?</li> <li>The benefits of automation</li> <li>How to get to Power Automate</li> <li>Lab 1: Setup your tenant</li> <li>Setup Office 365</li> <li>Download Course Files</li> <li>Customise your App Launcher</li> <li>Create accounts for colleagues</li> <li>After completing this module, students will be able to:</li> <li>Know what Microsoft Power Automate is</li> <li>The Benefits of using Power Automate to automate processes</li> <li>How to access a Power Automate</li> </ul> <h3>2 - Getting Started with Power Automate</h3> <ul> <li>Using Power Automate templates</li> <li>Navigating in Power Automate</li> <li>Editing a Power Automate</li> <li>Publish and trigger a Power Automate</li> <li>Turn off or delete a Power Automate</li> <li>Lab 1: Building processes in Office 365</li> <li>Create a Team with a channel</li> <li>Build an absence business process</li> <li>Testing the absence process</li> <li>Optional: Create Feedback Form</li> <li>Optional: Power Automate to Notify of Bad Ratings</li> <li>Optional: Test your Form and Power Automate</li> <li>After completing this module, students will be able to:</li> <li>How to use Power Automate tempaltes</li> <li>How to navigate around Power Automate</li> <li>How to edit Power Automates</li> <li>How to publish and trigger Power Automates</li> <li>How to turn off or delete Power Automates</li> </ul> <h3>3 - Power Automate Logic</h3> <ul> <li>Adding conditions</li> <li>Designing switches</li> <li>Using apply to each</li> <li>Configuring do until logic</li> <li>Adding a scope</li> <li>Lab 1: Scheduling documentation reviews</li> <li>Setup a policy library in SharePoint</li> <li>Design a policy review schedule</li> <li>Testing the policy review process</li> <li>Optional: Notify if a file nears review</li> <li>After completing this module, students will be able to:</li> <li>How to add condtions in a Power Automate</li> <li>How to design switches for a Power Automate</li> <li>How to use apply to each</li> <li>How to configure do until logic</li> <li>How to add a scope</li> </ul> <h3>4 - Integration</h3> <ul> <li>Standard and premium connectors</li> <li>Connecting to web services</li> <li>Using Power Automate with on-premises data</li> <li>Lab 1: Using Power Automate and SQL to Review Sales</li> <li>Create a new orders list</li> <li>Designing the price check process</li> <li>Testing the price check process</li> <li>Optional: Update with managers</li> <li>After completing this module, students will be able to:</li> <li>How to use Standard and Premium connectors</li> <li>How to connect to web services</li> <li>How to using Power Automate with on-premises data</li> </ul> <h3>5 - The Mobile App</h3> <ul> <li>Downloading the mobile app</li> <li>Signing in and account management</li> <li>Building and managing Power Automates</li> <li>Creating buttons</li> <li>Feeds and approvals</li> <li>Lab 1: Optional: Using the Power Automate mobile app</li> <li>Setting up the Power Automate mobile app</li> <li>Create a new Power Automate in the mobile app</li> <li>Using Power Automate buttons in the app</li> <li>Uninstall the Power Automate mobile app</li> <li>After completing this module, students will be able to:</li> <li>How to download the mobile app</li> <li>How to sign into the mobile app</li> <li>How to build and manage Power Automates in the mobile app</li> <li>How to create buttons in the mobile app</li> <li>How to feed and use approvals in the mobile app</li> </ul> <h3>6 - Administration and Maintenance</h3> <ul> <li>Maintaining a Power Automate</li> <li>View history and analytics</li> <li>Sharing a Power Automate</li> <li>Export and import Power Automates</li> <li>Office 365 administration for Power Automate</li> <li>Environments</li> <li>Data policies</li> <li>Data integration</li> <li>Lab 1: Maintaining your Power Automates</li> <li>Share a Power Automate with a colleague</li> <li>Disabling an active Power Automate</li> <li>Deleting a Power Automate</li> <li>After completing this module, students will be able to:</li> <li>How to maintain a Power Automate</li> <li>How to view history and analytics for a Power Automate</li> <li>How to share a Power Automate</li> <li>How to export and import Power Automates</li> <li>How to administrate a Power Automate in Office 365</li> <li>How to use data policies in a Power Automate</li> <li>How to use data integration in a Power Automate</li> </ul></div>

Nexus Human

Microsoft Power Apps

Power Apps

Microsoft 365

Microsoft Power Platform

Power Automate

Microsoft Power Automate

55268 Microsoft Power Automate for End Users

General Admission

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<p>You will learn about the business analysis process, from identifying business needs to assessing and prioritizing requirements. You will also gain insights into the world of business analytics, including predictive modeling and data visualization techniques that can help you turn raw data into actionable insights.</p>
<p>Throughout the course, you will be introduced to a variety of business analysis techniques, including SWOT analysis, PEST analysis, and Porter's Five Forces framework. You will also explore different useful financial ratios that can be applied to business analysis, such as profitability ratios and liquidity ratios. This knowledge will enable you to make informed decisions and recommendations that drive business success.</p>
<p>Finally, you will gain insights into different modern, useful tools of business analysis. From data visualization software to predictive analytics tools, you will learn how to leverage technology to enhance your business analysis capabilities and deliver value to your organization.</p>
<br /><br />After the successful completion of the course, you will be able to learn about the following,<br />
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<li>Understand the nature of business analysis and its role. </li>
<li>Explain the business analysis process and business analytics.</li>
<li>Describe different business analysis techniques.</li>
<li>Explore different useful financial ratios applicable to business analysis. </li>
<li>Understand different modern, useful tools of business analysis.</li>
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<p>You will learn about the business analysis process, from identifying business needs to assessing and prioritizing requirements. You will also gain insights into the world of business analytics, including predictive modeling and data visualization techniques that can help you turn raw data into actionable insights.</p>
<p>Throughout the course, you will be introduced to a variety of business analysis techniques, including SWOT analysis, PEST analysis, and Porter's Five Forces framework. You will also explore different useful financial ratios that can be applied to business analysis, such as profitability ratios and liquidity ratios. This knowledge will enable you to make informed decisions and recommendations that drive business success.</p>
<p>Finally, you will gain insights into different modern, useful tools of business analysis. From data visualization software to predictive analytics tools, you will learn how to leverage technology to enhance your business analysis capabilities and deliver value to your organization.</p>
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<div> <div id="headingTwo"> <h2>  </h2> </div> <div id="collapseTwo"> <div> <div> <div> <div> <div> <div id="msbmAccordion"> <div> <div> <div> <div> <div id="headingOne1"> <h2>  </h2> </div> <div id="collapse1932"> <div> <ul> <li> <div> <div> <i></i> </div> <div> <h5>VIDEO - Course Structure and Assessment Guidelines</h5> <p>Watch this video to gain further insight.</p> </div> </div> </li> <li> <div> <div> <i></i> </div> <div> <h5>Navigating the MSBM Study Portal</h5> <p>Watch this video to gain further insight.</p> </div> </div> </li> <li> <div> <div> <i></i> </div> <div> <h5>Interacting with Lectures/Learning Components</h5> <p>Watch this video to gain further insight.</p> </div> </div> </li> <li> <div> <div> <i></i> </div> <div> <h5>Business Analysis Case Studies</h5> <p>Self-paced pre-recorded learning content on this topic.</p> </div> </div> </li> <li> <div> <div> <i></i> </div> <div> <h5>Business Analysis Case Studies </h5> <p>Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. </p> </div> </div> </li> </ul> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div>
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All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details.
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There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course.<br />
<p>The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience.</p>
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<li>CEO, Director, Manager, Supervisor</li>
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<h5>Average Completion Time</h5>
<p>2 Weeks</p>
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<p>3 CPD Hours</p>
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<p>Advanced</p>
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<p>Anytime</p>
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<h5>100% Online</h5>
<p>Study online with ease.</p>
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<h5>Unlimited Access</h5>
<p>24/7 unlimited access with pre-recorded lectures.</p>
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<p>Our fees are low and easy to pay online.</p>
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Metropolitan School of Business & Management UK

Master of Business Management (MBM)

Business Analyst

Business Analysis

Master of Business Law (MBL)

Bachelor of Business Studies (BBS)

Business Studies

Professional Certificate Course in Business Analysis Case Studies in London 2024

<p>Embark on a transformative journey into the dynamic world of data with our "Data Analyst: Data Analytics Diploma With Complete Career Guide." From grasping the basics to mastering data visualization, this course offers a holistic approach. Dive into the lucrative field of data analytics, where demand is surging in the UK job market. Uncover the power of statistical analysis, enhance your Excel skills, and become adept at using cutting-edge data analytics tools. Join now to unlock a world of opportunities and propel your career forward.</p><p><strong>Key Features:</strong></p><ul><li>CPD Certified Data Analyst : Data Analytics Diploma With Complete Career Guide</li><li>10 Instant e-certificate and hard copy dispatch by next working day</li><li>Fully online, interactive course with audio voiceover</li><li>Developed by qualified professionals in the field</li><li>Self-paced learning and laptop, tablet, smartphone-friendly</li><li>24/7 Learning Assistance</li><li>Discounts on bulk purchases</li></ul><p><strong>Course Curriculum:</strong></p><ul><li><strong>Module 01:</strong> Introduction to the World of Data</li><li><strong>Module 02:</strong> Basics of Data Analytics</li><li><strong>Module 03:</strong> Statistics for Data Analytics</li><li><strong>Module 04:</strong> Actions Taken in the Data Analysis Process</li><li><strong>Module 05:</strong> Gathering the Right Information</li><li><strong>Module 06:</strong> Storing Data</li><li><strong>Module 07:</strong> Data Mining</li><li><strong>Module 08:</strong> Excel for Data Analytics</li><li><strong>Module 09:</strong> Tools for Data Analytics</li><li><strong>Module 10:</strong> Data-Analytic Thinking</li><li><strong>Module 11:</strong> Data Visualisation That Clearly Describes Insights</li><li><strong>Module 12:</strong> Data Visualisation Tools</li></ul><p><strong>________________________________________________________________________</strong></p><p><strong>Complete Career Guide for <strong>Data Analyst : Data Analytics Diploma</strong> </strong><strong>(A to Z)</strong></p><p>This isn't just a course; it's your ticket to thriving in the sector and your roadmap to the <strong>Data Analyst</strong> sector. In addition to mastering the essentials of <strong>Data Analyst</strong>, you'll also gain valuable skills in CV writing, job searching, communication, leadership, and project management. These 9 complementary courses are designed to empower you at every stage of your journey.</p><p>Stand out in your career, from crafting a winning CV to excelling in interviews. Develop the leadership skills to inspire your team and efficiently manage projects. This holistic approach ensures you're not just job-ready but career-ready. Enrol today, and let's <strong>build your success story</strong> together in <strong>Data Analyst</strong>. Your dream career starts here!</p><p>List of career guide courses included in <strong>Data Analyst : Data Analytics Diploma With Complete Career Guide:</strong></p><ul><li><strong>Course 01: Professional CV Writing and Job Searching</strong></li><li><strong>Course 02: Communication Skills Training</strong></li><li><strong>Course 03: Career Development Training</strong></li><li><strong>Course 04: Time Management</strong></li><li><strong>Course 05: Returning to Work Training</strong></li><li><strong>Course 06: Level 3 Diploma in Project Management</strong></li><li><strong>Course 07: Leadership Skills</strong></li><li><strong>Course 08: Body Language</strong></li><li><strong>Course 09: Interview and Recruitment</strong></li></ul><p><strong>________________________________________________________________________</strong></p><p><strong>Learning Outcomes:</strong></p><ul><li>Gain a comprehensive understanding of the fundamentals of data analytics.</li><li>Apply statistical techniques to extract valuable insights from data sets.</li><li>Execute the entire data analysis process efficiently and effectively.</li><li>Utilize tools like Excel and other data analytics tools proficiently.</li><li>Develop a strategic and analytical mindset for problem-solving in data.</li><li>Master the art of data visualization using various tools for communication.</li></ul><p><strong>Accreditation</strong></p><p>All of our courses, including the<strong><strong>Data Analyst : Data Analytics Diploma With Complete Career</strong> Guide</strong>course<strong>, </strong>are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field.</p><p><strong>Certification</strong></p><p>Once you've successfully completed your <strong>Data Analyst : Data Analytics Diploma With Complete Career Guide,</strong> you will immediately be sent your digital certificates. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we recommend renewing them every 12 months.</p><p><strong>Assessment</strong></p><p>At the end of the courses, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven't, there's no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.</p><h2>
        
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                                        100 CPD hours / points
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                                            Accredited by CPD Quality Standards
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        <div>Who is this course for?</div>
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                            <ul><li>Individuals aspiring to enter the data analytics field.</li><li>Professionals seeking to enhance their data analysis skills.</li><li>Students interested in building a career in data-driven decision-making.</li><li>Anyone keen on mastering Excel and other data analytics tools.</li></ul>
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                            <p>There are no formal requirements for this bundle courses to be enrolled.</p>
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                            <ul><li>Data Analyst - £30K to 45K/year.</li><li>Business Intelligence Analyst - £35K to 50K/year.</li><li>Statistical Analyst - £32K to 48K/year.</li><li>Data Scientist - £40K to 60K/year.</li><li>Business Analyst - £35K to 50K/year.</li></ul>
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                                    <h4>10 CPD Accredited e-Certificates</h4>
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        <h4>10 CPD Accredited Hard Copy Certificates</h4>
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            Hard copy certificate -
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                        </div>

Training Express

Data Analyst : Data Analytics Diploma With Complete Career Guide Course

<div> <div>     </div> <div>  <div> <div> <h3><strong>Highlights of the Course</strong></h3> <ul> <li><strong>Course Type:</strong> Online Learning</li> <li><strong>Duration:</strong> 11 Hours 11 Minutes</li> <li><strong>Tutor Support:</strong> Tutor support is included</li> <li><strong>Customer Support:</strong> 24/7 customer support is available</li> <li><strong>Quality Training:</strong> The course is designed by an industry expert</li> <li><strong>Recognised Credential:</strong> Recognised and Valuable Certification</li> <li><strong>Completion Certificate:</strong> Free Course Completion Certificate Included</li> <li><strong>Instalment:</strong> 3 Installment Plan on checkout</li> </ul> </div> </div> <div> <div> <hr /> <h3><strong>What you will learn from this course?</strong></h3> <ul> <li>Gain comprehensive knowledge about retail analytics and management</li> <li>Understand the core competencies and principles of retail analytics and management</li> <li>Explore the various areas of retail analytics and management</li> <li>Know how to apply the skills you acquired from this course in a real-life context</li> <li>Become a confident and expert retail manager</li> </ul> </div> </div> <div> <div> <div> <hr /> <h3><strong>Retail Analytics In Microsoft Excel Course</strong></h3> <p>Master the skills you need to propel your career forward in Microsoft excel. This course will equip you with the essential knowledge and skillset that will make you a confident office admin and take your career to the next level. This comprehensive retail analytics in Microsoft excel<b> </b>course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this retail analytics in Microsoft excel course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career.</p> <p>This comprehensive course will teach you the theory of effective Microsoft excel practice and equip you with the essential skills, confidence and competence to assist you in the Microsoft excel industry. You'll gain a solid understanding of the core competencies required to drive a successful career in Microsoft excel. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for office admin or for people who are aspiring to specialize in Microsoft excel.</p> <p>Enroll in this retail analytics in Microsoft excel course today and take the next step towards your personal and professional goals. Earn industry-recognized credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates.</p> </div> <div> <h3><strong>Who is this Course for?</strong></h3> <p>This comprehensive retail analytics in Microsoft excel course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this Microsoft excel can also take this course.</p> <p>Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector.</p> </div> <div> <h3><strong>Entry Requirements</strong></h3> <p>This retail analytics in Microsoft excel course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection.</p> </div> <div> <h3><strong>Assessment</strong></h3> <p>This retail analytics in Microsoft excel course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%.</p> </div> <div> <h3><strong>Advance Your Career</strong></h3> <p>This retail analytics in Microsoft excel<b> </b>course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume.</p> </div> </div> </div> </div> </div><div> <div> <h2> Recognised Accreditation </h2> <p>This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement.</p>  <p>The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries.</p>  </div> <div> <div> <div> <h3>What is CPD?</h3> <p>Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements.</p> <h4>Benefits of CPD</h4> <ul> <li>Improve your employment prospects </li> <li>Boost your job satisfaction </li> <li>Promotes career advancement </li> <li>Enhances your CV </li> <li>Provides you with a competitive edge in the job market </li> <li>Demonstrate your dedication </li> <li>Showcases your professional capabilities</li> </ul> </div> </div> <div> <div>  <h3>What is IPHM? </h3> <p>The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. </p> <h4>Benefits of IPHM </h4> <ul> <li>It will help you establish a positive reputation in your chosen field </li> <li>You can join a network and community of successful therapists that are dedicated to providing excellent care to their client </li> <li>You can flaunt this accreditation in your CV </li> <li>It is a worldwide recognised accreditation </li> </ul> </div> </div> <div> <div>  <h3>What is Quality Licence Scheme?</h3> <p>This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries.</p> <h4> Benefits of Quality License Scheme </h4> <ul> <li>Certificate is valuable</li> <li>Provides a competitive edge in your career</li> <li>It will make your CV stand out</li> </ul> </div> </div> </div> </div><div> <h3> <span>Course Curriculum</span> </h3> <div> <table> <tbody><tr> <td colspan="4">Course Introduction</td> </tr> <tr> <td><i></i></td> <td> Introduction </td> <td> </td> <td><span><i></i> 00:03:00</span></td> </tr> <tr> <td colspan="4">Part 1: Forecasting</td> </tr> <tr> <td><i></i></td> <td> Basics of Forecasting </td> <td> </td> <td><span><i></i> 00:05:00</span></td> </tr> <tr> <td><i></i></td> <td> Creating Linear Model with Trendlines </td> <td> </td> <td><span><i></i> 00:08:00</span></td> </tr> <tr> <td colspan="4">1.1 Getting Data Ready For Regression Model</td> </tr> <tr> <td><i></i></td> <td> Gathering Business Knowledge </td> <td> </td> <td><span><i></i> 00:03:00</span></td> </tr> <tr> <td><i></i></td> <td> Data Exploration </td> <td> </td> <td><span><i></i> 00:03:00</span></td> </tr> <tr> <td><i></i></td> <td> The Data and the Data Dictionary </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td><i></i></td> <td> Univariate analysis and EDD </td> <td> </td> <td><span><i></i> 00:03:00</span></td> </tr> <tr> <td><i></i></td> <td> Discriptive Data Analytics in Excel </td> <td> </td> <td><span><i></i> 00:10:00</span></td> </tr> <tr> <td><i></i></td> <td> Outlier Treatment </td> <td> </td> <td><span><i></i> 00:04:00</span></td> </tr> <tr> <td><i></i></td> <td> Identifying and Treating Outliers in Excel </td> <td> </td> <td><span><i></i> 00:04:00</span></td> </tr> <tr> <td><i></i></td> <td> Missing Value Imputation </td> <td> </td> <td><span><i></i> 00:03:00</span></td> </tr> <tr> <td><i></i></td> <td> Identifying and Treating missing values in Excel </td> <td> </td> <td><span><i></i> 00:04:00</span></td> </tr> <tr> <td><i></i></td> <td> Variable Transformation in Excel </td> <td> </td> <td><span><i></i> 00:03:00</span></td> </tr> <tr> <td><i></i></td> <td> Dummy variable creation: Handling qualitative data </td> <td> </td> <td><span><i></i> 00:04:00</span></td> </tr> <tr> <td><i></i></td> <td> Dummy Variable Creation in Excel </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td><i></i></td> <td> Correlation Analysis </td> <td> </td> <td><span><i></i> 00:09:00</span></td> </tr> <tr> <td><i></i></td> <td> Creating Correlation Matrix in Excel </td> <td> </td> <td><span><i></i> 00:08:00</span></td> </tr> <tr> <td colspan="4">1.2 Forecasting Using Regression Model</td> </tr> <tr> <td><i></i></td> <td> The Problem Statement </td> <td> </td> <td><span><i></i> 00:01:00</span></td> </tr> <tr> <td><i></i></td> <td> Basic Equations and Ordinary Least Squares (OLS) method </td> <td> </td> <td><span><i></i> 00:08:00</span></td> </tr> <tr> <td><i></i></td> <td> Assessing accuracy of predicted coefficients </td> <td> </td> <td><span><i></i> 00:14:00</span></td> </tr> <tr> <td><i></i></td> <td> Assessing Model Accuracy: RSE and R squared </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td><i></i></td> <td> Creating Simple Linear Regression model </td> <td> </td> <td><span><i></i> 00:02:00</span></td> </tr> <tr> <td><i></i></td> <td> Multiple Linear Regression </td> <td> </td> <td><span><i></i> 00:05:00</span></td> </tr> <tr> <td><i></i></td> <td> The F - statistic </td> <td> </td> <td><span><i></i> 00:08:00</span></td> </tr> <tr> <td><i></i></td> <td> Interpreting results of Categorical variables </td> <td> </td> <td><span><i></i> 00:05:00</span></td> </tr> <tr> <td><i></i></td> <td> Creating Multiple Linear Regression model </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td colspan="4">1.3 Handling Special Events Like Holiday Sales</td> </tr> <tr> <td><i></i></td> <td> Forecasting in presence of special events </td> <td> </td> <td><span><i></i> 00:02:00</span></td> </tr> <tr> <td><i></i></td> <td> Excel: Running Linear Regression using Solver </td> <td> </td> <td><span><i></i> 00:08:00</span></td> </tr> <tr> <td><i></i></td> <td> Excel: Including the impact of Special Events </td> <td> </td> <td><span><i></i> 00:22:00</span></td> </tr> <tr> <td colspan="4">1.4 Identifying Seasonality &amp; Trend for Forecasting</td> </tr> <tr> <td><i></i></td> <td> Models to identify Trend &amp; Seasonality </td> <td> </td> <td><span><i></i> 00:06:00</span></td> </tr> <tr> <td><i></i></td> <td> Excel: Additive model to identify Trend &amp; Seasonality </td> <td> </td> <td><span><i></i> 00:09:00</span></td> </tr> <tr> <td><i></i></td> <td> Excel: Multiplicative model to identify Trend &amp; Seasonality </td> <td> </td> <td><span><i></i> 00:06:00</span></td> </tr> <tr> <td colspan="4">Market Basket Analysis</td> </tr> <tr> <td><i></i></td> <td> Market Basket and Lift - Introduction </td> <td> </td> <td><span><i></i> 00:08:00</span></td> </tr> <tr> <td><i></i></td> <td> Named Ranges - Excel </td> <td> </td> <td><span><i></i> 00:10:00</span></td> </tr> <tr> <td><i></i></td> <td> Indirect Function - Excel </td> <td> </td> <td><span><i></i> 00:05:00</span></td> </tr> <tr> <td><i></i></td> <td> 2-way lift calculation in Excel </td> <td> </td> <td><span><i></i> 00:11:00</span></td> </tr> <tr> <td><i></i></td> <td> 2-way lift calculation - Dynamic </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td><i></i></td> <td> 2-way lift data table creation </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td><i></i></td> <td> 3-way lift calculation </td> <td> </td> <td><span><i></i> 00:19:00</span></td> </tr> <tr> <td><i></i></td> <td> Store Layout optimization using Lift values </td> <td> </td> <td><span><i></i> 00:15:00</span></td> </tr> <tr> <td colspan="4">RFM (Recency, Frequency, Monetary) Analysis</td> </tr> <tr> <td><i></i></td> <td> RFM (recency, frequency, monetary) Analysis </td> <td> </td> <td><span><i></i> 00:08:00</span></td> </tr> <tr> <td><i></i></td> <td> RFM Analysis in Excel- Part 1 </td> <td> </td> <td><span><i></i> 00:16:00</span></td> </tr> <tr> <td><i></i></td> <td> RFM Analysis in Excel- Part 2 </td> <td> </td> <td><span><i></i> 00:12:00</span></td> </tr> <tr> <td colspan="4">Part 2: Pricing</td> </tr> <tr> <td colspan="4">Part 2: Pricing</td> </tr> <tr> <td><i></i></td> <td> Steps of setting a Pricing policy </td> <td> </td> <td><span><i></i> 00:03:00</span></td> </tr> <tr> <td><i></i></td> <td> Different Pricing Objectives </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td colspan="4">2.1 Estimating Demand</td> </tr> <tr> <td><i></i></td> <td> Estimating Demand </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td><i></i></td> <td> Forms of Demand Curve </td> <td> </td> <td><span><i></i> 00:02:00</span></td> </tr> <tr> <td><i></i></td> <td> Excel: Estimating Linear Demand Curve </td> <td> </td> <td><span><i></i> 00:08:00</span></td> </tr> <tr> <td><i></i></td> <td> Excel: Estimating Power Demand curve with Elasticity </td> <td> </td> <td><span><i></i> 00:05:00</span></td> </tr> <tr> <td><i></i></td> <td> Excel: Estimating Power Demand Curve with points </td> <td> </td> <td><span><i></i> 00:03:00</span></td> </tr> <tr> <td><i></i></td> <td> Subjective Demand curve </td> <td> </td> <td><span><i></i> 00:01:00</span></td> </tr> <tr> <td><i></i></td> <td> Excel: Estimating Subjective Demand Curve </td> <td> </td> <td><span><i></i> 00:02:00</span></td> </tr> <tr> <td colspan="4">2.3 Evaluating Pricing Strategies</td> </tr> <tr> <td><i></i></td> <td> Price Bundling </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td><i></i></td> <td> Types of Bundling </td> <td> </td> <td><span><i></i> 00:08:00</span></td> </tr> <tr> <td><i></i></td> <td> The Bundling Problem </td> <td> </td> <td><span><i></i> 00:04:00</span></td> </tr> <tr> <td><i></i></td> <td> Excel: Solving Bundling problem Part 1 </td> <td> </td> <td><span><i></i> 00:14:00</span></td> </tr> <tr> <td><i></i></td> <td> Excel: Solving Bundling problem Part 2 </td> <td> </td> <td><span><i></i> 00:08:00</span></td> </tr> <tr> <td><i></i></td> <td> Non-Linear Pricing Strategies </td> <td> </td> <td><span><i></i> 00:03:00</span></td> </tr> <tr> <td><i></i></td> <td> Excel: Solving Bundling problem (Price Reversal) </td> <td> </td> <td><span><i></i> 00:08:00</span></td> </tr> <tr> <td colspan="4">3.1 Lifetime Customer Value</td> </tr> <tr> <td><i></i></td> <td> Lifetime Customer Value - Key concepts </td> <td> </td> <td><span><i></i> 00:09:00</span></td> </tr> <tr> <td><i></i></td> <td> Lifetime Customer Value - Excel model </td> <td> </td> <td><span><i></i> 00:11:00</span></td> </tr> <tr> <td colspan="4">3.2 Variations And Sensitivity Analysis</td> </tr> <tr> <td><i></i></td> <td> Sensitivity Analysis in Excel </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td><i></i></td> <td> Variations in finding customer value </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td colspan="4">Appendix 1: Excel Crash Course</td> </tr> <tr> <td><i></i></td> <td> Basics </td> <td> </td> <td><span><i></i> 00:08:00</span></td> </tr> <tr> <td><i></i></td> <td> Worksheet Basics </td> <td> </td> <td><span><i></i> 00:16:00</span></td> </tr> <tr> <td><i></i></td> <td> Entering values and Formulas </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td><i></i></td> <td> Data Handling Basics - Cut, Copy and Paste </td> <td> </td> <td><span><i></i> 00:14:00</span></td> </tr> <tr> <td><i></i></td> <td> Saving and Printing - Basics </td> <td> </td> <td><span><i></i> 00:09:00</span></td> </tr> <tr> <td><i></i></td> <td> Basic Formula Operations </td> <td> </td> <td><span><i></i> 00:13:00</span></td> </tr> <tr> <td><i></i></td> <td> Mathematical Formulas </td> <td> </td> <td><span><i></i> 00:19:00</span></td> </tr> <tr> <td><i></i></td> <td> Textual Formulas </td> <td> </td> <td><span><i></i> 00:17:00</span></td> </tr> <tr> <td><i></i></td> <td> Logical Formulas </td> <td> </td> <td><span><i></i> 00:11:00</span></td> </tr> <tr> <td><i></i></td> <td> Date-Time Formulas </td> <td> </td> <td><span><i></i> 00:07:00</span></td> </tr> <tr> <td><i></i></td> <td> Lookup Formulas ( V Lookup, Hlookup, Index-Match ) </td> <td> </td> <td><span><i></i> 00:08:00</span></td> </tr> <tr> <td><i></i></td> <td> Data Tools </td> <td> </td> <td><span><i></i> 00:19:00</span></td> </tr> <tr> <td><i></i></td> <td> Formatting data and tables </td> <td> </td> <td><span><i></i> 00:18:00</span></td> </tr> <tr> <td><i></i></td> <td> Pivot Tables </td> <td> </td> <td><span><i></i> 00:08:00</span></td> </tr> <tr> <td><i></i></td> <td> Advance Excel- Solver, Data tables </td> <td> </td> <td><span><i></i> 00:15:00</span></td> </tr> <tr> <td colspan="4">Assessment</td> </tr> <tr> <td><i></i></td> <td>Assessment - Retail Analytics In Microsoft Excel</td> <td> </td> <td><span><i></i> 00:10:00</span></td> </tr> <tr> <td colspan="4">Certificate of Achievement</td> </tr> <tr> <td><i></i></td> <td> Certificate of Achievement </td> <td> </td> <td><span><i></i> 00:00:00</span></td> </tr> <tr> <td colspan="4">Get Your Insurance Now</td> </tr> <tr> <td><i></i></td> <td> Get Your Insurance Now </td> <td> </td> <td><span><i></i> 00:00:00</span></td> </tr> <tr> <td colspan="4">Feedback</td> </tr> <tr> <td><i></i></td> <td> Feedback </td> <td> </td> <td><span><i></i> 00:00:00</span></td> </tr> </tbody></table></div> </div>

Study Plex

Retail Analytics In Microsoft Excel

<p><strong>Data Analysis (Data Analytics) and Business Modelling</strong></p><p>In today's digital age, <strong>mastering Data Analysis is paramount for professionals across industries</strong>. This course equips individuals with the necessary skills to navigate the vast realm of data, from basic analytics to sophisticated techniques. With modules covering everything from statistics and data mining to Excel proficiency and visualisation tools, students gain a comprehensive understanding of Data Analysis methodologies. Moreover, Business Modelling adds another dimension by integrating strategic analysis, financial modelling, and risk management into the curriculum.</p><p>As the demand for data-savvy professionals continues to surge, particularly in the <strong>UK with a projected 20% increase in job opportunities</strong>, mastering Data Analysis and Business Modelling opens doors to lucrative career prospects. With an <strong>average annual salary of £50,000</strong>, individuals who undergo this training are well-positioned to thrive in the rapidly evolving landscape of data-driven decision-making.</p><p><strong> Embracing this course not only enhances employability but also empowers professionals to drive innovation and success in the modern business world.</strong></p><p><strong>This Data Analysis (Data Analytics) and Business Modelling Bundle Includes the following Courses : </strong></p><ul><li><strong>Course 01:</strong> Data Analytics</li><li><strong>Course 02:</strong> Business Modelling</li></ul><p><strong>Key Features</strong></p><ul><li>CPD Certified Data Analysis (Data Analytics) and Business Modelling course.</li><li>Instant e-certificate</li><li>Fully online, interactive Data Analysis (Data Analytics) and Business Modelling course with audio voiceover</li><li>Developed by professionals in the field</li><li>Self-paced learning and laptop, tablet, smartphone-friendly</li><li>24/7 Learning Assistance</li></ul><p>But we don't stop there. Our curriculum extends its embrace to the world of business analysis, where you'll navigate through the intricacies of business processes, financial modelling, and strategic formulation. Dive into the realms of risk management and business law, equipping yourself with the knowledge to navigate the complex landscape of commerce with confidence and finesse.</p><p>Enrol now and unlock the potential to revolutionise industries, shape strategies, and drive innovation through the power of data-driven insights. The journey to becoming a master of data and business awaits, and with our comprehensive curriculum, you'll emerge as a trailblazer in the ever-evolving landscape of modern business.</p><p><strong>Course Curriculum of this Data Analysis (Data Analytics) and Business Modelling Course:</strong></p><p><strong>Data Analytics</strong></p><ul><li><strong>Module 01:</strong> Introduction to the World of Data</li><li><strong>Module 02:</strong> Basics of Data Analytics</li><li><strong>Module 03:</strong> Statistics for Data Analytics</li><li><strong>Module 04:</strong> Actions Taken in the Data Analysis Process</li><li><strong>Module 05:</strong> Gathering the Right Information</li><li><strong>Module 06:</strong> Storing Data</li><li><strong>Module 07</strong>: Data Mining</li><li><strong>Module 08:</strong> Excel for Data Analytics</li><li><strong>Module 09:</strong> Tools for Data Analytics</li><li><strong>Module 10:</strong> Data-Analytic Thinking</li><li><strong>Module 11:</strong> Data Visualisation That Clearly Describes Insights</li><li><strong>Module 12:</strong> Data Visualisation Tools</li></ul><p><strong>Business Modelling</strong></p><ul><li><strong>Module 01:</strong> Introduction to Business Analysis</li><li><strong>Module 02:</strong> Business Processes</li><li><strong>Module 03: </strong>Business Analysis Planning and Monitoring</li><li><strong>Module 04: </strong>Strategic Analysis and Product Scope</li><li><strong>Module 05:</strong> Basic Financial Calculations</li><li><strong>Module 06:</strong> Overview of Financial Markets, Financial Assets, and Market Participants</li><li><strong>Module 07:</strong> Financial Statement Modelling</li><li><strong>Module 08:</strong> Types of Financial Models</li><li><strong>Module 09:</strong> Sales and Revenue Model</li><li><strong>Module 10:</strong> Cost of Goods Sold and Inventory Model</li><li><strong>Module 11:</strong> An Introduction to Business Planning</li><li><strong>Module 12:</strong> Strategy Formulation</li><li><strong>Module 13:</strong> Strategy Implementation</li><li><strong>Module 14:</strong> Risk and Types of Risk</li><li><strong>Module 15:</strong> Introduction to Risk Management</li><li><strong>Module 16:</strong> Risk Management Process</li><li><strong>Module 17:</strong> Understanding Business Law</li><li><strong>Module 18:</strong> European Community Law</li><li><strong>Module 19:</strong> Contract &amp; Business Law</li><li><strong>Module 20:</strong> Consumer Law and Protection</li><li><strong>Module 21:</strong> Law of Tort</li><li><strong>Module 22:</strong> Company Law</li></ul><p><strong>Learning Outcomes:</strong></p><ul><li>Analyse business processes and develop strategic analysis for product scope.</li><li>Understand basic financial calculations and financial statement modelling techniques.</li><li>Create sales, revenue, cost of goods sold, and inventory models.</li><li>Formulate business strategies and implement risk management processes effectively.</li><li>Gain knowledge of business law, including European community law and contract law.</li><li>Apply principles of consumer law, protection, and company law in business modelling.</li></ul><p><strong>Accreditation</strong></p><p>All of our courses, including the <strong>Data Analysis (Data Analytics) and Business Modelling</strong><strong> Course</strong> are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in Data Analysis (Data Analytics) and Business Modelling.</p><p><strong>Certification</strong></p><p>Once you've successfully completed your <strong>Data Analysis (Data Analytics) and Business Modelling</strong><strong> Course,</strong> you will immediately be sent your digital certificates. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our Data Analysis (Data Analytics) and Business Modelling certifications have no expiry dates, although we recommend renewing them every 12 months.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>This Data Analysis (Data Analytics) and Business Modelling Course can be taken by anyone who wants to understand more about the topic. With the aid of this course, you will be able to grasp the fundamental knowledge and ideas. Additionally, this Data Analysis (Data Analytics) and Business Modelling Course is ideal for:</p><ul><li>Business students seeking foundational knowledge in Data Analysis (Data Analytics) and Business Modelling.</li><li>Entrepreneurs aiming to develop and refine their business planning and strategy.</li><li>Professionals transitioning into business analysis or financial modelling roles.</li><li>Small business owners looking to enhance their understanding of financial planning.</li><li>Anyone interested in learning about business law and risk management in business.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Learners do not require any prior qualifications to enrol on this Data Analysis (Data Analytics) and Business Modelling Course. You just need to have an interest in Data Analysis (Data Analytics) and Business Modelling Course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>After completing this Data Analysis (Data Analytics) and Business Modelling Course you will have a variety of careers to choose from. The following job sectors of Data Analysis (Data Analytics) and Business Modelling Course are:</p><ul><li>Business Analyst</li><li>Financial Analyst</li><li>Risk Manager</li><li>Compliance Officer</li><li>Legal Advisor</li><li>Strategy Consultant</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Data Analysis (Data Analytics) and Business Modelling Course

<p>In today's fast-paced and competitive world, staying ahead requires constant growth and upskilling. Welcome to <strong>FinTech and Big Data Analytics Level 3 Diploma</strong>, an empowering journey designed to equip you with the essential knowledge and skills in FinTech and Big Data Analytics Level 3 Diploma to thrive in your professional endeavours.</p><p>This comprehensive FinTech and Big Data Analytics Level 3 Diplomacourse combines theoretical concepts with essential applications, providing you with a well-rounded understanding of the topic. Whether you're a seasoned professional seeking to enhance your expertise or a newcomer eager to embark on a new career path, this courseoffers the tools and insights necessary to unlock your true potential.</p><p>This <strong>FinTech and Big Data Analytics Level 3 Diploma</strong> course hold a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This Teaching Assistant course promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development.</p><p>Enrol in <strong>FinTech and Big Data Analytics Level 3 Diploma</strong> today and embark on a transformative journey that will set you up for success in the dynamic and evolving world of FinTech and Big Data Analytics Level 3 Diploma. Unleash your potential and take the first step towards a rewarding and fulfilling career!</p><p><strong>Learning Outcomes</strong></p><p>By the end of this <strong>FinTech and Big Data Analytics Level 3 Diploma </strong>course, you will:</p><ul><li>Gain a deep understanding of the fundamental principles and theories in FinTech and Big Data Analytics Level 3 Diploma.</li><li>Acquire the ability to analyse and solve complex problems related to the topic critically.</li><li>Enhance your communication and teamwork skills, which are essential for collaborating effectively in professional settings.</li><li>Apply the learned concepts in FinTech and Big Data Analytics Level 3 Diplomato drive innovation and make strategic decisions within your field.</li></ul><p>In the rapidly evolving landscape of the financial world, where technology intertwines with data to revolutionise how we transact, analyse, and protect assets, a new frontier beckons. Welcome to the <strong>FinTech and Big Data Analytics Level 3 Diploma</strong>, an immersive journey into the realm where finance meets technology, where cryptocurrencies thrive, and where big data reveals its power.</p><p>Curriculum of <strong>FinTech and Big Data Analytics Level 3 Diploma:</strong></p><p>Module 01: Introduction to Financial Technology - FinTech<br />Module 02: Exploring Cryptocurrencies<br />Module 03: RegTech<br />Module 04: Rise of InsurTechs<br />Module 05: Big Data Basics: Understanding Big Data<br />Module 06: The Future of Fintech</p><p>Don't miss this opportunity to expand your horizons and embrace the fusion of finance and technology. Join us on this extraordinary journey of knowledge and understanding. Enrol now in the FinTech and Big Data Analytics Level 3 Diploma and unlock the secrets that lie at the intersection of finance and technology.</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>Professionals looking to expand their knowledge and skills in FinTech and Big Data Analytics Level 3 Diploma.</li><li>Recent graduates seeking to enter the job market with a competitive edge.</li><li>Individuals considering a career change into FinTech and Big Data Analytics Level 3 Diploma.</li><li>Entrepreneurs aiming to gain insights into FinTech and Big Data Analytics Level 3 Diploma to boost their business strategies.</li><li>Anyone interested in broadening their understanding of FinTech and Big Data Analytics Level 3 Diploma for personal or professional growth.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No prior knowledge or experience is required to enrol in this <strong>FinTech and Big Data Analytics Level 3 Diploma</strong> course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Completing <strong>FinTech and Big Data Analytics Level 3 Diploma</strong> can give you the initial boost to a world of exciting career opportunities.</p>
                        </div>

NextGen Learning

Certificate in Further Education & Training (Cert Ed)

Diploma in Education & Training (DET)

Corporate Finance Level 1

Trainers Course

Diploma in Professional Studies (DPS)

Fintech

FinTech and Big Data Analytics Level 3 Diploma

<p><strong>Data analysis</strong> is a crucial skill in today's data-driven world, and the demand for skilled data analysts in the UK is on the rise. According to the Office for National Statistics (ONS), the UK's digital economy grew by <strong>7.9% in this year</strong>, creating numerous job opportunities in fields such as data analysis.</p><p>In Data Analysis in Excel with Analytics for Data Analysts course, you will get to learn the fundamentals of Excel data analysis. The highly informative modules will help you enhance your understanding of charts, pivot tables, pivot charts and more. You will acquire the expertise to work with multiple workbooks and worksheets. In this step-by-step learning process, you will get to grasp a better understanding of lookup functions. In addition, you will know the essentials of data forecasting, mapping data and formula auditing.</p><p>At the end of the data analysis course, you can receive QLS endorsed certificate of achievement. This certificate will allow you to enhance your resume and lift your employability. Enrol now!</p><p><strong>Dis Diploma Included Courses are: </strong></p><ul><li><strong>Course 01: Diploma in Data Analytics with Tableau<br /></strong></li><li><strong>Course 02: Data Analytics<br /></strong></li><li><strong>Course 03: Google Data Studio: Data Analytics</strong><strong><br /></strong></li><li><strong>Course 04: Big Data Analytics with PySpark Tableau Desktop and MongoDB<br /></strong></li><li><strong>Course 05: Learn MySQL from Scratch for Data Science and Analytics</strong><strong><br /></strong></li><li><strong>Course 06: Data Analysis In Excel<br /></strong></li><li><strong>Course 07: Diploma in Data Analysis Fundamentals<br /></strong></li><li><strong>Course 08: Business Data Analysis<br /></strong></li><li><strong>Course 09: Data Science &amp; Machine Learning with Python<br /></strong></li><li><strong>Course 10: R Programming for Data Science<br /></strong></li><li><strong>Course 11: Learn Python, JavaScript, and Microsoft SQL for Data science</strong></li></ul><p><strong>Key Learnings:</strong></p><ul><li>Ability to effectively modify and organize data within a worksheet using various formatting tools.</li><li>Proficiency in working with lists and using data analysis techniques such as sorting, filtering, and subtotalling.</li><li>Competency in analysing data through the use of functions, such as statistical and mathematical functions, to derive meaningful insights.</li><li>Proficiency in creating visually appealing charts and graphs to effectively communicate data insights.</li><li>Competency in using PivotTables and PivotCharts to efficiently summarize and analyse large sets of data.</li><li>Proficiency in automating data analysis tasks and functions through the use of macros and other automated workbook functionalities.</li></ul><p><strong>Course Significant Points:</strong></p><ul><li>Quality Licence Scheme Endorsed</li><li>CPD Accredited Course</li><li>Unlimited Retake Exam &amp; Tutor Support</li><li>Easy Accessibility to the Course Materials</li><li>100% Learning Satisfaction Guarantee</li><li>Lifetime Access &amp; 24/7 Support</li><li>Self-paced online course Modules</li><li>Covers to Explore Multiple Job Positions</li></ul><p><strong>How is the course assessed?</strong></p><p>To assess your learning, you have to complete the assignment questions provided at the end of the course. You have to score at least 60% to pass the exam and to qualify for Quality Licence Scheme endorsed and CPD-accredited certificates. After passing the assignment exam, you will be able to apply for a certificate.</p><p><strong>Meet the Endorsement</strong></p><p>The Quality Licence Scheme has been designed specifically to recognise high-quality courses. This Data Analysis with Excel course materials are recognised by Quality Licence Scheme (QLS). This ensures the deep research and quality resource allocation behind the development phase of the course. In addition, the QLS certificate enriches your CV and recognises your quality study on the relevant subject.</p><p><strong>How will QLS boost your worth?</strong></p><ul><li>Achieving <strong>Quality Licence Scheme</strong> endorsed certificates can provide you with valued and credible evidence of <strong>your skills and knowledge to potential employers. </strong></li><li>Quality Licence Scheme (QLS) endorsements are awarded to training programmes and courses that <strong>meet high quality standards</strong>, ensuring that your certificate represents <strong>a valuable achievement.</strong></li><li>The stringent assessment process involved in achieving Quality Licence Scheme Endorsed Certificates ensures that you have acquired the <strong>necessary skills and knowledge to excel in your chosen field.</strong></li></ul><p><strong>Meet the Accreditation</strong></p><p>CPD Quality Standards (CPD QS) accreditation assures the Data Analysis with Excel course training and learning activities are relevant, reliable, and up to date.</p><p><strong>How Will CPD Accredited Value You?</strong></p><ul><li>CPD accreditation ensures that the training programme or course you have completed has been <strong>independently reviewed</strong> and meets <strong>rigorous quality standards.</strong></li><li>By achieving CPD accredited certificates, you can <strong>enhance your career prospects</strong>, build your <strong>professional reputation</strong>, and stay competitive in <strong>today's job market.</strong></li></ul><p><strong>**Diploma in Data Analytics with Tableau**</strong></p><ul><li>Introduction To The Course</li><li>Project 1: Discount Mart (Sales And Profit Analytics)</li><li>Project 2: Green Destinations (HR Analytics)</li><li>Project 3: Superstore (Sales Agent Tracker)</li><li>Northwind Trade (Shipping Analytics)</li><li>Project 5: Tesla (Stock Price Analytics)</li><li>Bonus: Introduction To Database Concepts</li><li>Tableau Stories</li></ul><p><strong>**Data Analytics**</strong></p><ul><li>Introduction To The World Of Data</li><li>Basics Of Data Analytics</li><li>Statistics For Data Analytics</li><li>Actions Taken In The Data Analysis Process</li><li>Gathering The Right Information</li><li>Storing Data</li><li>Data Mining</li><li>Excel For Data Analytics</li><li>Tools For Data Analytics</li><li>Data-Analytic Thinking</li><li>Data Visualisation That Clearly Describes Insights</li><li>Data Visualisation Tools</li></ul><p><strong>**Google Data Studio: Data Analytics**</strong></p><ul><li>Introduction</li><li>Google Sheets</li><li>Google Data Studio</li></ul><p><strong>**Big Data Analytics with PySpark Tableau Desktop and MongoDB**</strong></p><ul><li>Introduction</li><li>Setup And Installations</li><li>Data Processing With PySpark And MongoDB</li><li>Machine Learning With PySpark And MLlib</li><li>Creating The Data Pipeline Scripts</li><li>Tableau Data Visualization</li><li>Source Code</li></ul><p><strong>**Learn MySQL from Scratch for Data Science and Analytics**</strong></p><ul><li>Getting Started</li><li>SQL Server Setting Up</li><li>SQL Database Basics</li><li>SQL DML (Data Manipulation Language)</li><li>SQL DDL (Data Definition Language)</li><li>SQL DCL (Data Control Language)</li><li>SQL Statement Basic</li><li>Filtering Data Rows</li><li>Aggregate Functions For Data Analysis</li><li>SQL Data Analyticstatements</li><li>SQL Group By Statement</li><li>JOINS</li><li>SQL Constraints</li><li>Views</li><li>Advanced SQL Functions</li><li>SQL Stored Procedures</li><li>Import &amp; Export Data</li><li>Backup And Restore Database</li></ul><p><strong>**Data Analysis In Excel**</strong></p><ul><li>Modifying A Worksheet</li><li>Working With Lists</li><li>Analyzing Data</li><li>Visualizing Data With Charts</li><li>Using PivotTables And PivotCharts</li><li>Working With Multiple Worksheets And Workbooks</li><li>Using Lookup Functions And Formula Auditing</li><li>Automating Workbook Functionality</li><li>Creating Sparklines And Mapping Data</li><li>Forecasting Data</li></ul><p><strong>**Diploma in Data Analysis Fundamentals**</strong></p><ul><li>Introduction</li><li>Agenda And Principles Of Process Management</li><li>The Voice Of The Process</li><li>Working As One Team For Improvement</li><li>Exercise: The Voice Of The Customer</li><li>Tools For Data Analysis</li><li>The Pareto Chart</li><li>The Histogram</li><li>The Run Chart</li><li>Exercise: Presenting Performance Data</li><li>Understanding Variation</li><li>The Control Chart</li><li>Control Chart Example</li><li>Control Chart Special Cases</li><li>Interpreting The Control Chart</li><li>Control Chart Exercise</li><li>Strategies To Deal With Variation</li><li>Using Data To Drive Improvement</li><li>A Structure For Performance Measurement</li><li>Data Analysis Exercise</li><li>Course Project</li><li>Test Your Understanding</li></ul><p><strong>**Business Data Analysis**</strong></p><ul><li>Introduction To Business Analysis</li><li>Business Environment</li><li>Business Processes</li><li>Business Analysis Planning And Monitoring</li><li>Strategic Analysis And Product Scope</li><li>Solution Evaluation</li><li>Investigation Techniques</li><li>Ratio Analysis</li><li>Stakeholder Analysis And Management</li><li>Process Improvement With Gap Analysis</li><li>Documenting And Managing Requirements</li><li>Business Development And Succession Planning</li><li>Planning &amp; Forecasting Operations</li><li>Business Writing Skills</li></ul><p><strong>**Data Science &amp; Machine Learning with Python**</strong></p><ul><li>Course Overview &amp; Table Of Contents</li><li>Introduction To Machine Learning</li><li>System And Environment Preparation</li><li>Learn Basics Of Python - Assignment</li><li>Learn Basics Of Python - Functions</li><li>Learn Basics Of Python - Data Structures</li><li>Learn Basics Of NumPy - NumPy Array</li><li>Learn Basics Of NumPy - NumPy Data</li><li>Learn Basics Of NumPy - NumPy Arithmetic</li><li>Learn Basics Of Matplotlib</li><li>Learn Basics Of Pandas</li><li>Understanding The CSV Data File</li><li>Load And Read CSV Data File Using Python Standard Library</li><li>Load And Read CSV Data File Using NumPy</li><li>Load And Read CSV Data File Using Pandas</li><li>Dataset Summary - Peek, Dimensions And Data Types</li><li>Dataset Summary - Class Distribution And Data Summary</li><li>Dataset Summary - Explaining Correlation</li><li>Dataset Summary - Explaining Skewness - Gaussian And Normal Curve</li><li>Dataset Visualization - Using Histograms</li><li>Dataset Visualization - Using Density Plots</li><li>Dataset Visualization - Box And Whisker Plots</li><li>Multivariate Dataset Visualization - Correlation Plots</li><li>Multivariate Dataset Visualization - Scatter Plots</li><li>Data Preparation (Pre-Processing) - Introduction<br /><ul><li>Re-Scaling Data</li><li>Standardizing Data</li><li>Normalizing Data</li><li>Binarizing Data</li></ul></li><li>Feature Selection - Introduction<br /><ul><li>Uni-Variate Part</li><li>Recursive Feature Elimination</li><li>Principal Component Analysis (PCA)</li><li>Feature Importance</li></ul></li><li>Refresher Session - The Mechanism Of Re-Sampling, Training And Testing</li><li>Algorithm Evaluation Techniques - Introduction<br /><ul><li>Train And Test Set</li><li>K-Fold Cross Validation</li><li>Leave One Out Cross Validation</li><li>Repeated Random Test-Train Splits</li></ul></li><li>Algorithm Evaluation Metrics - Introduction<br /><ul><li>Classification Accuracy</li><li>Log Loss</li><li>Area Under ROC Curve</li><li>Confusion Matrix</li><li>Classification Report</li><li>Mean Absolute Error - Dataset Introduction</li><li>Mean Absolute Error</li><li>Mean Square Error</li><li>R Squared</li></ul></li><li>Classification Algorithm Spot Check - Logistic Regression<br /><ul><li>Linear Discriminant Analysis</li><li>K-Nearest Neighbors</li><li>Naive Bayes</li><li>CART</li><li>Support Vector Machines</li></ul></li><li>Regression Algorithm Spot Check - Linear Regression<br /><ul><li>Ridge Regression</li><li>Lasso Linear Regression</li><li>Elastic Net Regression</li><li>K-Nearest Neighbors</li><li>CART</li><li>Support Vector Machines (SVM)</li></ul></li><li>Compare Algorithms</li><li>Pipelines</li><li>Performance Improvement: Ensembles - Voting<br /><ul><li>Bagging</li><li>Boosting</li></ul></li><li>Performance Improvement: Parameter Tuning Using Grid Search</li><li>Performance Improvement: Parameter Tuning Using Random Search</li><li>Export, Save And Load Machine Learning Models : Pickle</li><li>Export, Save And Load Machine Learning Models : Joblib</li><li>Finalizing A Model - Introduction And Steps</li><li>Finalizing A Classification Model - The Pima Indian Diabetes Dataset</li><li>Quick Session: Imbalanced Data Set - Issue Overview And Steps</li><li>Iris Dataset : Finalizing Multi-Class Dataset</li><li>Finalizing A Regression Model - The Boston Housing Price Dataset</li><li>Real-Time Predictions: Using The Pima Indian Diabetes Classification Model</li><li>Real-Time Predictions: Using Iris Flowers Multi-Class Classification Dataset</li><li>Real-Time Predictions: Using The Boston Housing Regression Model</li></ul><p><strong>**R Programming for Data Science**</strong></p><ul><li>Data Science Overview</li><li>R And RStudio</li><li>Introduction To Basics</li><li>Vectors</li><li>Matrices</li><li>Factors</li><li>Data Frames</li><li>Lists</li><li>Relational Operators</li><li>Logical Operators</li><li>Conditional Statements</li><li>Loops</li><li>Functions</li><li>R Packages</li><li>The Apply Family - Lapply</li><li>The Apply Family - Sapply &amp; Vapply</li><li>Useful Functions</li><li>Regular Expressions</li><li>Dates And Times</li><li>Getting And Cleaning Data</li><li>Plotting Data In R</li><li>Data Manipulation With Dplyr</li></ul><p><strong>**Learn Python, JavaScript, and Microsoft SQL for Data science**</strong></p><ul><li>JavaScript Introduction</li><li>JavaScript Basics</li><li>JavaScript Operators</li><li>JavaScript Conditional Statements</li><li>JavaScript Control Flow Statements</li><li>JavaScript Functions</li><li>JavaScript Error Handling</li><li>JavaScript Client-Side Validations</li><li>Python Introduction</li><li>Python Basic</li><li>Python Strings</li><li>Python Operators</li><li>Python Data Structures</li><li>Python Conditional Statements</li><li>Python Control Flow Statements</li><li>Python Core Games</li><li>Python Functions</li><li>Python Args, KW Args For Data Science</li><li>Python Project</li><li>Python Object Oriented Programming [OOPs]</li><li>Python Methods</li><li>Python Class And Objects</li><li>Python Inheritance And Polymorphism</li><li>Python Encapsulation And Abstraction</li><li>Python OOPs Games</li><li>Python Modules And Packages</li><li>Python Error Handling</li><li>Microsoft SQL[MS] Introduction</li><li>MS SQL Statements</li><li>MS SQL Filtering Data</li><li>MS SQL Functions</li><li>MS SQL Joins</li><li>MS SQL Advanced Commands</li><li>MS SQL Structure And Keys</li><li>MS SQL Queries</li><li>MS SQL Structure Queries</li><li>MS SQL Constraints</li><li>MS SQL Backup And Restore</li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        570 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><strong>Data Analysis course is ideal for: </strong></p><ul><li>Professionals working in fields such as finance, business, and healthcare who need to analyse data and make decisions based on their findings.</li><li>Students and researchers who want to develop their skills in data analysis and visualisation using Excel.</li><li>Individuals who are looking to pursue a career in data analysis and want to gain a foundational understanding of Excel and its capabilities.</li><li>Business owners and entrepreneurs who want to learn how to use Excel to analyse and interpret data for their own businesses.</li><li>Anyone who wants to improve their data analysis skills for personal or professional purposes and gain proficiency in Excel as a tool for data analysis.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no specific prerequisites to enrol in Data analysis course. <strong> Anyone and everyone</strong> can take this course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>The course will assist you in establishing a solid understanding of data analysis. After the course, you will be able to explore career options such as:</p><ul><li><strong>Data Analyst </strong>(Average annual salary £35,000)</li><li><strong>Research Analyst</strong> (Average annual salary £28,552)</li><li><strong>Business Analyst</strong> (Average annual salary £42,618)</li><li><strong>Risk Analyst </strong>(Average annual salary £41,340)</li><li><strong>Financial Analyst</strong> (Average annual salary £50,300)</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion (PDF)</h4>
        <p>
            Digital certificate -
            £9
        </p>
            <div> <p><strong>CPD Accredited PDF Certificate.</strong><br />A PDF Certificate: £9</p> </div>
        <h4>Certificate of completion (Hardcopy)</h4>
        <p>
            Hard copy certificate -
            £15
        </p>
            <div> <p><strong>CPD Accredited Hard Copy Certificate. </strong><br />A Hardcopy Certificate (within the UK): £15<br />A Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</p> </div>
        <h4>Endorsed Certificate of Achievement from the Quality Licence Scheme (Hardcopy)</h4>
        <p>
            Hard copy certificate -
            £109
        </p>
            <div> <p>Data Analysis In Excel (within the UK: £109, International: £119)</p> </div>

                        </div>

One Education

Data Analyst : Data Analyst (Data Analytics) - Level 5 Diploma Course

<strong>An intermediate-level course that will help you improve your Power BI skills and become an expert data analyst or data scientist. The course is carefully structured to provide an in-depth understanding of Microsoft Power BI and its features, along with some important tips and tricks.</strong>
        <p>Microsoft Power BI is an advanced yet easy-to-get-started self-service business analytics/business intelligence solution. Power BI is also a great tool for data science. A lot of data scientists like to use it for visualizing and presenting the findings. Therefore, learning to use this tool can be a valuable skill for data science jobs.

This course is divided into six sections. We will first start with understanding DAX table calculations with Power BI Desktop and Excel and master DAX. In the second section, we will learn Microsoft Power BI tips and tricks from project experience and research. In the third section, we will be solving data prep challenges. In the fourth section, we will master advanced DAX calculations and build on your acquired knowledge from the prior sections.

In section five, we will be combining data science tools such as Python with Power BI. In the last section, we will cover Power BI best practices, Power BI Calculation Groups, Power BI Charticulator, Power BI performance tips, and Power BI AI.

By the end of this course, you will have the skills and capabilities to analyze and understand data with Power BI.

The complete course bundle is available at https://github.com/PacktPublishing/Power-BI-Masterclass</p>
        <h2>What You Will Learn</h2><p>Understand DAX Logic and Table Calculations<br>Learn Power BI tips and tricks from project experience and research<br>Solve common Power BI data preparation issues<br>Learn how to improve the look and feel of standard dashboards<br>Combine data science tools such as Python with Power BI<br>Learn how to start creating your own custom visuals without coding</p>
        <h2>Audience</h2><p>The course is not meant for total beginners. You should have some prior knowledge of Power BI. This course is for data analysts and everyone who strives for a career in data analytics.</p>
        <h2>Approach</h2><p>This is a hands-on course where we will use Microsoft Power BI Desktop to gain skills that would help us analyze and understand data.</p>
        <h2>Key Features</h2><p>Learn to handle many-to-many relationships in Power BI * Master DAX and use Python with data science tools * Learn additional tips and tricks to improve your skills</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Power-BI-Masterclass</p>
        <h2>About the Author</h2><h3>Dan We</h3><p>Dan We is a 32-year-old entrepreneur, data scientist, and data analytics/visual analytics consultant. He holds a master's degree and is certified in Power BI as a qualified associate in Tableau. He is currently working in business intelligence and helps major companies get key insights from their data in order to deliver long-term growth and outpace their competitors.

He is committed to supporting other people by offering them educational services to help them accomplish their goals and become the best in their profession or explore a new career path.</p>
        <h2>Course Outline</h2><h4>1. DAX, Excel, and More</h4><p></p><br><h4>2. Additional Tips and Tricks</h4><p></p><br><h4>3. Solving Data Prep Challenges</h4><p></p><br><h4>4. DAX, R, and Gateways</h4><p></p><br><h4>5. Python Finance and Advanced DAX</h4><p></p><br><h4>6. The Next Level</h4><p></p>

Packt

Data Analysis

An intermediate-level course that will help you improve your Power BI skills and become an expert data analyst or data scientist. The course is carefully structured to provide an in-depth understanding of Microsoft Power BI and its features, along with some important tips and tricks.

Power BI Masterclass

<p>Jumpstart your Data Analytics Career with Tableau by solving Realistic Analytics Projects. Learn Data Visualisation!</p><p>Tableau is a powerful tool for analysing data and uncovering insights. It provides an easy-to-use interface that allows users to quickly create visualisations and dashboards to explore data. Tableau is a great tool for data exploration and discovery, as it allows users to quickly analyse large datasets and uncover patterns and trends.</p><p>In this course, You will construct six distinct dashboards in this course that each represent a<strong> real-world </strong>issue. You'll discover how to connect to a range of data sources, including <strong>cloud servers and Excel files</strong>. Additionally, you'll discover how to create interactive dashboards and upload them to Tableau Online to demonstrate your abilities to potential companies and link these in your resume.</p><p><strong>What you'll learn</strong></p><ul><li>You'll comprehend the inner workings of the data analytics pipeline by the end of this course, from merging, filtering, and extracting data to creating dashboards.</li><li>Create five interactive dashboards and display them online to build a strong work history for your resume.</li><li>Connect to several data sources, including servers, Google Sheets, and Excel!</li><li>Be able to use maps, line charts, donut charts, and bar charts to create in-depth analyses.</li><li>Gain a thorough knowledge of how Tableau's calculations operate.</li><li>Learning how to join data sources in Tableau and the many sorts of joins</li><li>Engage in set-based work and level-of-detail calculations</li><li>Recognise how Tableau's Groups and Hierarchies Operate.</li></ul><p>When you finish this course, you'll be an expert user of <strong>Tableau </strong> who can apply all you've learned to advance your career in data and analytics.</p><p><strong>Key Benefits</strong></p><ul><li>Learning materials of the Design course contain engaging voiceover and visual elements for your comfort.</li><li>Get 24/7 access to all content for a full year.</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li></ul><p>This course is designed with the following modules:</p><p><strong>***Introduction to Data Analytics with Tableau***</strong></p><ul><li>Module 01:Introduction to the Course</li><li>Module 02:Project 1: Discount Mart (Sales and Profit Analytics)</li><li>Module 03:Project 2: Green Destinations (HR Analytics)</li><li>Module 04:Project 3: Superstore (Sales Agent Tracker)</li><li>Module 05:Northwind Trade (Shipping Analytics)</li><li>Module 06:Project 5: Tesla (Stock Price Analytics)</li><li>Module 07:Bonus: Introduction to Database Concepts</li><li>Module 08:Tableau Stories</li></ul><p><strong>Course Assessment </strong></p><p>To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%.</p><p>When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme.</p><p><strong>Certificate of Achievement</strong></p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>After successfully completing the Diploma in Data Analytics with Tableau course, learners will be able to order an endorsed certificate as proof of their achievement. Hardcopy of this certificate of achievement endorsed by the Quality Licence Scheme can be ordered and received straight to your home by post, by paying</p><ul><li>Within the UK: £119</li><li>International: £119 + £10 (postal charge) = £129</li><li>CPD Accredited Certification from One Education</li></ul><p>After successfully completing this Diploma in Data Analytics with Tableau course, you will qualify for the CPD accredited certificate from One Education. Certification is available in both PDF &amp; hardcopy format, which can be received by paying -</p><ul><li>PDF Certificate: £9</li><li>Hardcopy Certificate (within the UK): £15</li><li>Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</li></ul><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <ul><li>This course is for anyone who wants to kickstart their career in Data Analytics.</li><li>This course is for anyone who wants to learn more about Tableau</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Diploma in Data Analytics with Tableau course is open to all, with no formal entry requirements.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>After successfully completing this course, you can develop your confidence and pursue possibilities such as-</p><ul><li>Data analytics manager</li><li>Financial analyst</li><li>Scientist</li><li>Machine learning engineer</li></ul><p>The salary range for data analysts in the UK is £23,000 to £62,000 per year.</p>
                        </div>

Diploma in Data Analytics with Tableau Course

<p>Do you ever wonder how businesses gather insights from vast amounts of data to make informed decisions and stay ahead of the competition? Look no further than our comprehensive course, "Business and Data Analytics for Beginners," which provides an introduction to the world of data analytics and its applications in the business world.</p><p>Through engaging modules and real-world case studies, our course covers everything from the basics of business and data analytics to advanced techniques for data preparation, evaluation, and deployment. With a particular focus on the problem-framing process and business process modelling, learners will gain insights into how businesses exploit data to gain a competitive edge.</p><p>By the end of the course, you'll walk away with a thorough understanding of the principles and practices that underpin successful business and data analytics. With our expert guidance and in-depth analysis, you'll gain the knowledge and confidence to make informed decisions and navigate the complex and dynamic world of data analytics. Don't miss out on this opportunity to enhance your skills and advance your career - enrol in "Business and Data Analytics for Beginners" today and join the ranks of successful data analysts and business professionals around the world.</p><p><strong>Learning Outcomes:</strong></p><ul><li>Develop an understanding of the principles and practices of business and data analytics</li><li>Learn effective strategies for problem framing and business process modelling</li><li>Develop analytical skills for data preparation, evaluation, and deployment</li><li>Understand how to exploit data to gain a competitive edge</li><li>Be able to make informed decisions and navigate the complex and dynamic world of business and data analytics</li></ul><p>The "Business and Data Analytics for Beginners" course is designed to provide a comprehensive understanding of the principles and practices that underpin successful data analysis in a business context. Through engaging modules and real-world case studies, learners will gain insights into the basics of business and data analytics, advanced techniques for data preparation, evaluation, and deployment, and effective strategies for exploiting data to gain a competitive edge.</p><p>By the end of the course, learners will be equipped with the knowledge and skills to make informed decisions and navigate the complex and dynamic world of business and data analytics. Whether you're a business professional looking to enhance your skills or a beginner looking to enter the world of data analysis, this course is a must-have for anyone interested in the world of business and data analytics.</p><p><strong>â±â± </strong><strong>Business and Data Analytics for Beginners</strong><strong> Course Curriculum </strong></p><p><strong>Section 01: Business and Data Analytics</strong></p><ul><li>Introduction to Business and Data Analytics</li><li>Where are Insights Business Analytics Being Used</li><li>Problem Framing Process</li></ul><p><strong>Section 02: Business Process Model</strong></p><ul><li>Business Process Modelling</li><li>Outcome of the First Step</li><li>Outcome of the Second Step</li><li>Data Understanding</li><li>How Do You Exploit Data that no One Else Has?</li><li>Informational System Usually</li></ul><p><strong>Section 03: Working on Data</strong></p><ul><li>Data Preparation</li><li>Evaluation</li><li>Deployment</li><li>Major Health Insurance Company</li><li>Process</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>Business professionals looking to enhance their data analysis skills</li><li>Beginners interested in the world of business and data analytics</li><li>Business students interested in the field of data analysis</li><li>Entrepreneurs looking to incorporate data analysis into their business practices</li><li>Anyone interested in gaining a comprehensive understanding of data analysis in a business context</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst: £20,000 - £50,000 per year</li><li>Business Analyst: £25,000 - £60,000 per year</li><li>Marketing Analyst: £25,000 - £50,000 per year</li><li>Financial Analyst: £25,000 - £70,000 per year</li><li>Operations Analyst: £25,000 - £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>

Business and Data Analytics for Beginners Course



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

Microsoft Excel

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

<div id="course-pills-1">Duration<p>1 Days</p><p>6 CPD hours</p>This course is intended for<p>To ensure success, students should have completed Excel Essentials and Excel Functions Including Pivot Tables and Lookups or have the equivalent knowledge and experience.</p>Overview<p>Upon successful completion of this course, students will be able to enhance productivity and efficiency by streamlining workflow, collaborate with others, and audit and analyse data.</p><p>This course is designed for students desiring to gain skills necessary to create macros, collaborate with others, audit and analyse data, incorporate multiple data sources, and import data.</p></div><div id="course-pills-2"><h4>Working with Multiple Worksheets and Workbooks </h4><ul><li>Working with Named Ranges</li><li>Link Cells Across Worksheets and Workbooks </li><li>Use 3D References to Calculate Across Worksheets</li><li>Consolidate Data</li></ul><h4>Use Formula Auditing and Error Checking</h4><ul><li>Reveal Formulas</li><li>Trace Cell Precedents and Dependents </li><li>Locate Errors in Formulas </li><li>Watch and Evaluate Formulas </li></ul><h4>Reviewing and Protecting Workbooks </h4><ul><li>Control Data Entry via Data Validation</li><li>Protect Workbook Access</li><li>Protect Worksheets and Cell Content </li><li>Add and Edit Comments</li><li>Prepare a Workbook for Distribution </li><li>Modify Excel's Default Settings</li></ul><h4>Using Macros to Automate Workbook Functionality</h4><ul><li>Create Macros via Recording </li><li>Run Macros via Buttons and Shortcuts</li><li>Assign Macros to the Quick Access Toolbar and Ribbon </li><li>Assign Macros to Objects </li><li>View Macro Code</li></ul><h4>Forecasting and Analysis Data</h4><ul><li>Use Conditional Formatting to Highlight, Sort and Filter Key Data</li><li>Advanced Conditional Formatting using Formulas</li><li>Create Sparklines to Visualise Data</li><li>Add Trendlines to Charts to Visualise and Forecast Trends</li><li>Use Data Tables and Scenarios to Project Potential Outcomes </li><li>Use Goal Seek to Calculate Outcomes</li><li>Forecast Data Trends Using Solver</li></ul></div>

Office Skills & Productivity

Excel Analytics

Access VBA

Visual Basic Analysis

Excel - Automating Excel with Macros and Analysis Tools

<div dir="ltr" style="color: rgb(31, 31, 31); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(31, 31, 31);">
<div dir="ltr" style="color: rgb(31, 31, 31); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(31, 31, 31);">
<div dir="ltr" style="color: rgb(31, 31, 31); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(31, 31, 31);">

<p style="margin: 0cm; font-size: 15px; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" id="isPasted" fr-original-style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Empower Your Business with YouTube: Practical Workshop</strong></p><p style="margin: 0cm; font-size: 15px; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>&nbsp;</p><p style="margin: 0cm; font-size: 15px; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>Harness YouTube to expand your reach, build brand awareness, and boost sales. Our interactive YouTube for Business workshop provides essential skills to set up and optimise your channel for success.</p><p style="margin: 0cm; font-size: 15px; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>&nbsp;</p><p style="margin: 0cm; font-size: 15px; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What You&#39;ll Learn:</strong></p><p style="margin: 0cm; font-size: 15px; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>&nbsp;</p><p style="margin: 0cm; font-size: 15px; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Create a Professional Channel:</strong> Build a captivating YouTube channel that represents your brand.</p><p style="margin: 0cm; font-size: 15px; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Optimise for Search:</strong> Learn key techniques to ensure your videos are easily found.</p><p style="margin: 0cm; font-size: 15px; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Effective Marketing:</strong> Discover strategies to promote your videos, generate leads, and increase conversions.</p><p style="margin: 0cm; font-size: 15px; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Analyse Performance:</strong> Use analytics to refine your strategies and improve content.</p><p style="margin: 0cm; font-size: 15px; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>&nbsp;</p><p style="margin: 0cm; font-size: 15px; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Enrol Today and Transform Your Business</strong></p><p style="margin: 0cm; font-size: 15px; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>&nbsp;</p><p style="margin: 0cm; font-size: 15px; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>Seize this chance to harness YouTube&#39;s potential. Enrol now in our YouTube for Business workshop and start creating videos that engage and elevate your business.</p><p style="margin: 0cm; font-size: 15px; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><br fr-original-style="" style="box-sizing: border-box;"></p>

<p style='margin: 0cm 0cm 0.0001pt; font-size: 15px; font-family: Calibri, "sans-serif"; color: var(--text); box-sizing: border-box;' id="isPasted" fr-original-style='margin:0cm;margin-bottom:.0001pt;font-size:15px;font-family:"Calibri","sans-serif";'><span style='font-family: "Segoe UI", "sans-serif"; box-sizing: border-box;' fr-original-style='font-family:"Segoe UI","sans-serif";'><u fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Explainer Video:</strong></u></span></p>

<iframe width="560" height="315" src="https://www.youtube.com/embed/lND5ACrCVos?si=1wlFLPU_5PfiL4Ri" title="YouTube video player" frameborder="0" allowfullscreen="" fr-original-style="" style="box-sizing: border-box;"><span class="fr-mk" style="display: none;">&nbsp;</span><span class="fr-mk" style="display: none;">&nbsp;</span><span class="fr-mk" style="display: none;">&nbsp;</span></iframe>


</div></div></div>

Empower Your Business with YouTube: Practical Workshop
 
Harness YouTube to expand your reach, build brand awareness, and boost sales. Our interactive YouTube for Business workshop provides essential skills to set up and optimise your channel for success.
 
What You'll Learn:
 
Create a Professional Channel: Build a captivating YouTube channel that represents your brand.
Optimise for Search: Learn key techniques to ensure your videos are easily found.
Effective Marketing: Discover strategies to promote your videos, generate leads, and increase conversions.
Analyse Performance: Use analytics to refine your strategies and improve content.
 
Enrol Today and Transform Your Business
 
Seize this chance to harness YouTube's potential. Enrol now in our YouTube for Business workshop and start creating videos that engage and elevate your business.


Explainer Video:


Clockwork Eye Video Training

Video

Video Marketing

Video Creation

Mobile Video Production

Video Design

Video Production

Video Editing

Video & Mobile Marketing

Learn how to create and manage a successful YouTube channel for your business. This workshop will cover everything you need to know when setting up and using YouTube in your business. You will also learn how to use YouTube analytics to track your channel's performance to help you make improvements.

YouTube For Business (Interactive Workshop)

<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)

<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;">Master YouTube with TubeBuddy: A Micro-Workshop</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Unlock your YouTube channel&#39;s full potential with our exclusive micro-workshop on TubeBuddy, the ultimate tool for video creators. Learn how to effectively use TubeBuddy&#39;s powerful features to optimise your content, increase your visibility, and grow your audience.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What You&rsquo;ll Learn:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">SEO &amp; Keywords:</strong> Master the Keyword Explorer and SEO Studio to dominate search results.</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;">Content Optimisation:</strong> Utilise A/B Testing, Thumbnail Analyser, and Click Magnet for maximum engagement.</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;">Efficiency Tools:</strong> Streamline your workflow with Bulk Processing and advanced analytics.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Join us and transform your YouTube strategy with expert insights and practical tips on leveraging TubeBuddy. Don&rsquo;t miss this opportunity to take your channel to the next level!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For more information on TubeBuddy&rsquo;s features, visit <a href="https://www.tubebuddy.com/pricing?a=ClockworkEye" target="_blank" rel="noopener noreferrer" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;"><span style="color: rgb(44, 130, 201); box-sizing: border-box;" fr-original-style="color: rgb(44, 130, 201);">TubeBuddy</span></a><a data-fr-linked="true" href="https://www.tubebuddy.com/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;"></a>.</p>

Photography & Video

Film & Video

Videography

Unlock your YouTube channel's potential with our TubeBuddy micro-workshop. Learn SEO, content optimisation, and efficiency tools to grow your audience and boost engagement.

Master YouTube with TubeBuddy (A Micro-Workshop)

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

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

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

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

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

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

                        </div>

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

Apex Learning

Data Analyst : Data Analytics Training

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>The Microsoft Security Operations Analyst collaborates with organizational stakeholders to secure information technology systems for the organization. Their goal is to reduce organizational risk by rapidly remediating active attacks in the environment, advising on improvements to threat protection practices, and referring violations of organizational policies to appropriate stakeholders. Responsibilities include threat management, monitoring, and response by using a variety of security solutions across their environment. The role primarily investigates, responds to, and hunts for threats using Microsoft Sentinel, Microsoft Defender for Cloud, Microsoft 365 Defender, and third-party security products. Since the Security Operations Analyst consumes the operational output of these tools, they are also a critical stakeholder in the configuration and deployment of these technologies.</p><p></p><p></p><p>Learn how to investigate, respond to, and hunt for threats using Microsoft Sentinel, Microsoft Defender for Cloud, and Microsoft 365 Defender. In this course you will learn how to mitigate cyberthreats using these technologies. Specifically, you will configure and use Microsoft Sentinel as well as utilize Kusto Query Language (KQL) to perform detection, analysis, and reporting. The course was designed for people who work in a Security Operations job role and helps learners prepare for the exam SC-200: Microsoft Security Operations Analyst.</p><p></p>Prerequisites<p></p><li>Basic understanding of Microsoft 365</li>  <li>Fundamental understanding of Microsoft security, compliance, and identity products</li>   <li> Intermediate understanding of Windows 10</li>  <li> Familiarity with Azure services, specifically Azure SQL Database and Azure Storage</li>   <li> Familiarity with Azure virtual machines and virtual networking</li>   <li>Basic understanding of scripting concepts.</li><p></p></div><div id="course-pills-2"><h3>1 - Introduction to Microsoft 365 threat protection</h3> <ul> <li>Explore Extended Detection &amp; Response (XDR) response use cases</li> <li>Understand Microsoft Defender XDR in a Security Operations Center (SOC)</li> <li>Explore Microsoft Security Graph</li> <li>Investigate security incidents in Microsoft Defender XDR</li> </ul> <h3>2 - Mitigate incidents using Microsoft 365 Defender</h3> <ul> <li>Use the Microsoft Defender portal</li> <li>Manage incidents</li> <li>Investigate incidents</li> <li>Manage and investigate alerts</li> <li>Manage automated investigations</li> <li>Use the action center</li> <li>Explore advanced hunting</li> <li>Investigate Microsoft Entra sign-in logs</li> <li>Understand Microsoft Secure Score</li> <li>Analyze threat analytics</li> <li>Analyze reports</li> <li>Configure the Microsoft Defender portal</li> </ul> <h3>3 - Protect your identities with Microsoft Entra ID Protection</h3> <ul> <li>Microsoft Entra ID Protection overview</li> <li>Detect risks with Microsoft Entra ID Protection policies</li> <li>Investigate and remediate risks detected by Microsoft Entra ID Protection</li> </ul> <h3>4 - Remediate risks with Microsoft Defender for Office 365</h3> <ul> <li>Automate, investigate, and remediate</li> <li>Configure, protect, and detect</li> <li>Simulate attacks</li> </ul> <h3>5 - Safeguard your environment with Microsoft Defender for Identity</h3> <ul> <li>Configure Microsoft Defender for Identity sensors</li> <li>Review compromised accounts or data</li> <li>Integrate with other Microsoft tools</li> </ul> <h3>6 - Secure your cloud apps and services with Microsoft Defender for Cloud Apps</h3> <ul> <li>Understand the Defender for Cloud Apps Framework</li> <li>Explore your cloud apps with Cloud Discovery</li> <li>Protect your data and apps with Conditional Access App Control</li> <li>Walk through discovery and access control with Microsoft Defender for Cloud Apps</li> <li>Classify and protect sensitive information</li> <li>Detect Threats</li> </ul> <h3>7 - Respond to data loss prevention alerts using Microsoft 365</h3> <ul> <li>Describe data loss prevention alerts</li> <li>Investigate data loss prevention alerts in Microsoft Purview</li> <li>Investigate data loss prevention alerts in Microsoft Defender for Cloud Apps</li> </ul> <h3>8 - Manage insider risk in Microsoft Purview</h3> <ul> <li>Insider risk management overview</li> <li>Create and manage insider risk policies</li> <li>Investigate insider risk alerts</li> <li>Take action on insider risk alerts through cases</li> <li>Manage insider risk management forensic evidence</li> <li>Create insider risk management notice templates</li> </ul> <h3>9 - Investigate threats by using audit features in Microsoft Defender XDR and Microsoft Purview Standard</h3> <ul> <li>Explore Microsoft Purview Audit solutions</li> <li>Implement Microsoft Purview Audit (Standard)</li> <li>Start recording activity in the Unified Audit Log</li> <li>Search the Unified Audit Log (UAL)</li> <li>Export, configure, and view audit log records</li> <li>Use audit log searching to investigate common support issues</li> </ul> <h3>10 - Investigate threats using audit in Microsoft Defender XDR and Microsoft Purview (Premium)</h3> <ul> <li>Explore Microsoft Purview Audit (Premium)</li> <li>Implement Microsoft Purview Audit (Premium)</li> <li>Manage audit log retention policies</li> <li>Investigate compromised email accounts using Purview Audit (Premium)</li> </ul> <h3>11 - Investigate threats with Content search in Microsoft Purview</h3> <ul> <li>Explore Microsoft Purview eDiscovery solutions</li> <li>Create a content search</li> <li>View the search results and statistics</li> <li>Export the search results and search report</li> <li>Configure search permissions filtering</li> <li>Search for and delete email messages</li> </ul> <h3>12 - Protect against threats with Microsoft Defender for Endpoint</h3> <ul> <li>Practice security administration</li> <li>Hunt threats within your network</li> </ul> <h3>13 - Deploy the Microsoft Defender for Endpoint environment</h3> <ul> <li>Create your environment</li> <li>Understand operating systems compatibility and features</li> <li>Onboard devices</li> <li>Manage access</li> <li>Create and manage roles for role-based access control</li> <li>Configure device groups</li> <li>Configure environment advanced features</li> </ul> <h3>14 - Implement Windows security enhancements with Microsoft Defender for Endpoint</h3> <ul> <li>Understand attack surface reduction</li> <li>Enable attack surface reduction rules</li> </ul> <h3>15 - Perform device investigations in Microsoft Defender for Endpoint</h3> <ul> <li>Use the device inventory list</li> <li>Investigate the device</li> <li>Use behavioral blocking</li> <li>Detect devices with device discovery</li> </ul> <h3>16 - Perform actions on a device using Microsoft Defender for Endpoint</h3> <ul> <li>Explain device actions</li> <li>Run Microsoft Defender antivirus scan on devices</li> <li>Collect investigation package from devices</li> <li>Initiate live response session</li> </ul> <h3>17 - Perform evidence and entities investigations using Microsoft Defender for Endpoint</h3> <ul> <li>Investigate a file</li> <li>Investigate a user account</li> <li>Investigate an IP address</li> <li>Investigate a domain</li> </ul> <h3>18 - Configure and manage automation using Microsoft Defender for Endpoint</h3> <ul> <li>Configure advanced features</li> <li>Manage automation upload and folder settings</li> <li>Configure automated investigation and remediation capabilities</li> <li>Block at risk devices</li> </ul> <h3>19 - Configure for alerts and detections in Microsoft Defender for Endpoint</h3> <ul> <li>Configure advanced features</li> <li>Configure alert notifications</li> <li>Manage alert suppression</li> <li>Manage indicators</li> </ul> <h3>20 - Utilize Vulnerability Management in Microsoft Defender for Endpoint</h3> <ul> <li>Understand vulnerability management</li> <li>Explore vulnerabilities on your devices</li> <li>Manage remediation</li> </ul> <h3>21 - Plan for cloud workload protections using Microsoft Defender for Cloud</h3> <ul> <li>Explain Microsoft Defender for Cloud</li> <li>Describe Microsoft Defender for Cloud workload protections</li> <li>Enable Microsoft Defender for Cloud</li> </ul> <h3>22 - Connect Azure assets to Microsoft Defender for Cloud</h3> <ul> <li>Explore and manage your resources with asset inventory</li> <li>Configure auto provisioning</li> <li>Manual log analytics agent provisioning</li> </ul> <h3>23 - Connect non-Azure resources to Microsoft Defender for Cloud</h3> <ul> <li>Protect non-Azure resources</li> <li>Connect non-Azure machines</li> <li>Connect your AWS accounts</li> <li>Connect your GCP accounts</li> </ul> <h3>24 - Manage your cloud security posture management?</h3> <ul> <li>Explore Secure Score</li> <li>Explore Recommendations</li> <li>Measure and enforce regulatory compliance</li> <li>Understand Workbooks</li> </ul> <h3>25 - Explain cloud workload protections in Microsoft Defender for Cloud</h3> <ul> <li>Understand Microsoft Defender for servers</li> <li>Understand Microsoft Defender for App Service</li> <li>Understand Microsoft Defender for Storage</li> <li>Understand Microsoft Defender for SQL</li> <li>Understand Microsoft Defender for open-source databases</li> <li>Understand Microsoft Defender for Key Vault</li> <li>Understand Microsoft Defender for Resource Manager</li> <li>Understand Microsoft Defender for DNS</li> <li>Understand Microsoft Defender for Containers</li> <li>Understand Microsoft Defender additional protections</li> </ul> <h3>26 - Remediate security alerts using Microsoft Defender for Cloud</h3> <ul> <li>Understand security alerts</li> <li>Remediate alerts and automate responses</li> <li>Suppress alerts from Defender for Cloud</li> <li>Generate threat intelligence reports</li> <li>Respond to alerts from Azure resources</li> </ul> <h3>27 - Construct KQL statements for Microsoft Sentinel</h3> <ul> <li>Understand the Kusto Query Language statement structure</li> <li>Use the search operator</li> <li>Use the where operator</li> <li>Use the let statement</li> <li>Use the extend operator</li> <li>Use the order by operator</li> <li>Use the project operators</li> </ul> <h3>28 - Analyze query results using KQL</h3> <ul> <li>Use the summarize operator</li> <li>Use the summarize operator to filter results</li> <li>Use the summarize operator to prepare data</li> <li>Use the render operator to create visualizations</li> </ul> <h3>29 - Build multi-table statements using KQL</h3> <ul> <li>Use the union operator</li> <li>Use the join operator</li> </ul> <h3>30 - Work with data in Microsoft Sentinel using Kusto Query Language</h3> <ul> <li>Extract data from unstructured string fields</li> <li>Extract data from structured string data</li> <li>Integrate external data</li> <li>Create parsers with functions</li> </ul> <h3>31 - Introduction to Microsoft Sentinel</h3> <ul> <li>What is Microsoft Sentinel?</li> <li>How Microsoft Sentinel works</li> <li>When to use Microsoft Sentinel</li> </ul> <h3>32 - Create and manage Microsoft Sentinel workspaces</h3> <ul> <li>Plan for the Microsoft Sentinel workspace</li> <li>Create a Microsoft Sentinel workspace</li> <li>Manage workspaces across tenants using Azure Lighthouse</li> <li>Understand Microsoft Sentinel permissions and roles</li> <li>Manage Microsoft Sentinel settings</li> <li>Configure logs</li> </ul> <h3>33 - Query logs in Microsoft Sentinel</h3> <ul> <li>Query logs in the logs page</li> <li>Understand Microsoft Sentinel tables</li> <li>Understand common tables</li> <li>Understand Microsoft Defender XDR tables</li> </ul> <h3>34 - Use watchlists in Microsoft Sentinel</h3> <ul> <li>Plan for watchlists</li> <li>Create a watchlist</li> <li>Manage watchlists</li> </ul> <h3>35 - Utilize threat intelligence in Microsoft Sentinel</h3> <ul> <li>Define threat intelligence</li> <li>Manage your threat indicators</li> <li>View your threat indicators with KQL</li> </ul> <h3>36 - Connect data to Microsoft Sentinel using data connectors</h3> <ul> <li>Ingest log data with data connectors</li> <li>Understand data connector providers</li> <li>View connected hosts</li> </ul> <h3>37 - Connect Microsoft services to Microsoft Sentinel</h3> <ul> <li>Plan for Microsoft services connectors</li> <li>Connect the Microsoft Office 365 connector</li> <li>Connect the Microsoft Entra connector</li> <li>Connect the Microsoft Entra ID Protection connector</li> <li>Connect the Azure Activity connector</li> </ul> <h3>38 - Connect Microsoft Defender XDR to Microsoft Sentinel</h3> <ul> <li>Plan for Microsoft Defender XDR connectors</li> <li>Connect the Microsoft Defender XDR connector</li> <li>Connect Microsoft Defender for Cloud connector</li> <li>Connect Microsoft Defender for IoT</li> <li>Connect Microsoft Defender legacy connectors</li> </ul> <h3>39 - Connect Windows hosts to Microsoft Sentinel</h3> <ul> <li>Plan for Windows hosts security events connector</li> <li>Connect using the Windows Security Events via AMA Connector</li> <li>Connect using the Security Events via Legacy Agent Connector</li> <li>Collect Sysmon event logs</li> </ul> <h3>40 - Connect Common Event Format logs to Microsoft Sentinel</h3> <ul> <li>Plan for Common Event Format connector</li> <li>Connect your external solution using the Common Event Format connector</li> </ul> <h3>41 - Connect syslog data sources to Microsoft Sentinel</h3> <ul> <li>Plan for syslog data collection</li> <li>Collect data from Linux-based sources using syslog</li> <li>Configure the Data Collection Rule for Syslog Data Sources</li> <li>Parse syslog data with KQL</li> </ul> <h3>42 - Connect threat indicators to Microsoft Sentinel</h3> <ul> <li>Plan for threat intelligence connectors</li> <li>Connect the threat intelligence TAXII connector</li> <li>Connect the threat intelligence platforms connector</li> <li>View your threat indicators with KQL</li> </ul> <h3>43 - Threat detection with Microsoft Sentinel analytics</h3> <ul> <li>What is Microsoft Sentinel Analytics?</li> <li>Types of analytics rules</li> <li>Create an analytics rule from templates</li> <li>Create an analytics rule from wizard</li> <li>Manage analytics rules</li> </ul> <h3>44 - Automation in Microsoft Sentinel</h3> <ul> <li>Understand automation options</li> <li>Create automation rules</li> </ul> <h3>45 - Threat response with Microsoft Sentinel playbooks</h3> <ul> <li>What are Microsoft Sentinel playbooks?</li> <li>Trigger a playbook in real-time</li> <li>Run playbooks on demand</li> </ul> <h3>46 - Security incident management in Microsoft Sentinel</h3> <ul> <li>Understand incidents</li> <li>Incident evidence and entities</li> <li>Incident management</li> </ul> <h3>47 - Identify threats with Behavioral Analytics</h3> <ul> <li>Understand behavioral analytics</li> <li>Explore entities</li> <li>Display entity behavior information</li> <li>Use Anomaly detection analytical rule templates</li> </ul> <h3>48 - Data normalization in Microsoft Sentinel</h3> <ul> <li>Understand data normalization</li> <li>Use ASIM Parsers</li> <li>Understand parameterized KQL functions</li> <li>Create an ASIM Parser</li> <li>Configure Azure Monitor Data Collection Rules</li> </ul> <h3>49 - Query, visualize, and monitor data in Microsoft Sentinel</h3> <ul> <li>Monitor and visualize data</li> <li>Query data using Kusto Query Language</li> <li>Use default Microsoft Sentinel Workbooks</li> <li>Create a new Microsoft Sentinel Workbook</li> </ul> <h3>50 - Manage content in Microsoft Sentinel</h3> <ul> <li>Use solutions from the content hub</li> <li>Use repositories for deployment</li> </ul> <h3>51 - Explain threat hunting concepts in Microsoft Sentinel</h3> <ul> <li>Understand cybersecurity threat hunts</li> <li>Develop a hypothesis</li> <li>Explore MITRE ATT&amp;CK</li> </ul> <h3>52 - Threat hunting with Microsoft Sentinel</h3> <ul> <li>Explore creation and management of threat-hunting queries</li> <li>Save key findings with bookmarks</li> <li>Observe threats over time with livestream</li> </ul> <h3>53 - Use Search jobs in Microsoft Sentinel</h3> <ul> <li>Hunt with a Search Job</li> <li>Restore historical data</li> </ul> <h3>54 - Hunt for threats using notebooks in Microsoft Sentinel</h3> <ul> <li>Access Azure Sentinel data with external tools</li> <li>Hunt with notebooks</li> <li>Create a notebook</li> <li>Explore notebook code</li> </ul></div>

Microsoft Certification

Microsoft AZ-900

Microsoft AZ-104

Microsoft SC-200

Microsoft AZ-303

Microsoft AZ-700

SC-200T00 Microsoft Security Operations 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


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