Name: Complete SAS Programming Guide - Learn SAS and Become a Data Ninja
Price: 97.99 GBP
Availability: InStock

Packt

Database Programming

SQL Server

In this comprehensive course, you will learn everything you need to know about SQL and Microsoft SQL Server, from the basic to advanced topics. With easy-to-follow lessons and hands-on exercises, you will gain the skills and confidence to work with databases like a pro. Perfect for beginners and anyone looking to expand their data management skills.

The Complete Guide for SQL with Microsoft SQL Server

General Admission

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			<h2><div><span><b>

Overview </b></span><span></span><br /></div></h2>		</div>
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				<p><span>From automation to complex data analysis, Python is used in a wide range of tasks. Thus, to become a high-demand professional in the IT industry, you must build a solid foundation in this programming language. Our Python for Beginners is the perfect place to start enhancing your knowledge and skills in this area.</span></p><p><span>Through the comprehensive course, you will get a primary understanding of Python. The informative modules will help you understand the data types and data structure. You will receive detailed lessons on control flow and operators. After that, the modules will equate you to the basics of Python arrays, iterators and generators. Finally, you will get a clear understanding of the functions and file manipulation.</span></p><p><span>After the completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. </span></p>					</div>
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			<h2><div><span><b>Course Preview</b></span><span></span><br /></div></h2>		</div>
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			<h2><div><span><b>Learning Outcomes</b></span><span></span></div></h2>		</div>
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				<ul><li><span>Introduce yourself to the basics of Python </span></li><li><span>Familiarise yourself with the data types and operators </span></li><li><span>Enhance your understanding of data structures and control flow</span></li><li><span>Explore the vital areas of Python arrays, iterators and generators </span></li><li><span>Develop a clear understanding of functions and file manipulation </span></li></ul>					</div>
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			<h2><div><span><b>Why Take This Course From John Academy?
</b></span><span></span></div></h2>		</div>
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				<ul><li><span>Affordable, well-structured and high-quality e-learning study materials</span></li><li><span>Engaging tutorial videos, materials from the industry-leading experts</span></li><li><span>Opportunity to study in a user-friendly, advanced online learning platform</span></li><li><span>Efficient exam systems for the assessment and instant result</span></li><li><span>Earn UK &amp; internationally recognised accredited qualification</span></li><li><span>Easily access the course content on mobile, tablet, or desktop from anywhere, anytime</span></li><li><span>Excellent career advancement opportunities</span></li><li><span>Get 24/7 student support via email.</span></li></ul>					</div>
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			<h2><div><span><b>
What Skills Will You Learn from This Course?
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				<p><span>Python</span></p>					</div>
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			<h2><div><span><b>
Who Should Take This Python for Beginners Course?
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				<p><span>Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge.</span></p>					</div>
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			<h2><div><span><b>Are There Any Entry Requirements?</b></span><span></span></div></h2>		</div>
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				<p><span>Thi</span><span>s Python for Beginners is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful.</span></p>					</div>
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				<p></p><h3><b>Certificate of Achievement </b></h3>
    <p> After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates &amp; Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99.</p><p></p>					</div>
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			<h2><div><span><b>Career Pathâ</b></span><span></span></div></h2>		</div>
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				<p><span>This exclusive Python for Beginners will equip you with effective skills and abilities and help you explore career paths such as </span></p><ul><li><span>Web Developer</span></li><li><span>Data Analyst </span></li><li><span>Software Developer </span></li><li><span>Game Developer</span></li></ul>					</div>
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				</div><table width="100%">				<tbody><tr>
					<td colspan="4">Course Introduction</td>
				</tr>
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					<td><i></i></td>
					<td>Python for Beginners Introduction</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
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					<td colspan="4">Module 01: Getting Started with Python</td>
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					<td><i></i></td>
					<td>Why Learn Coding</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
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					<td><i></i></td>
					<td>Why Learn Python</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
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					<td><i></i></td>
					<td>Gearing Up Linux Machine For Python Programming</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
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					<td><i></i></td>
					<td>Gearing Up Windows For Python</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
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					<td><i></i></td>
					<td>Integrate Python And Git Bash With Vscode</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
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					<td><i></i></td>
					<td>Gearing Up The Macos For Python Programming</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
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					<td>Installing Jupyter Notebook In Windows</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
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					<td>Hello World In Jupyter Notebook</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
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					<td colspan="4">Module 02: Data Types and Operators</td>
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					<td>Arithmetic Operators</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
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					<td>Order Of Evaluation</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
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					<td>Variable And Assignment Operators</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
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					<td>Correct Variable Names</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
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					<td>Integer Float And Complex Numbers In Python</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
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					<td>Boolean Comparison Operator And Logical Operator</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
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					<td>Strings In Python</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
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					<td>Type And Type Casting</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
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					<td>String Methods In Python</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
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					<td>Taking Input From User</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
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					<td><i></i></td>
					<td>Exercise 1</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
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					<td colspan="4">Module 03: Data Structures</td>
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					<td>Lists In Python</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
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					<td>Necessitites In List</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
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					<td>List Methods</td>
					<td> </td>
					<td><span><i></i> 00:19:00</span></td>
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					<td>Tuples In Python</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
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					<td>Sets In Python</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
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					<td>Dictionary, Mutable, Accessing Items</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
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					<td>Dublicates, Constructor And Data Types In Dictionary</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
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					<td><i></i></td>
					<td>Access And Add Items In Dictionaries</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
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					<td>Nested Dictionaries And Dictionary Methods</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
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					<td><i></i></td>
					<td>Exercise 2</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
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					<td colspan="4">Module 04: Control Flow</td>
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					<td><i></i></td>
					<td>Introduction</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
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					<td><i></i></td>
					<td>Conditional Statements</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
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					<td><i></i></td>
					<td>Short Hand If Else</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
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					<td><i></i></td>
					<td>Nested If</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
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					<td><i></i></td>
					<td>For Loops</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>While Loops In Python</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
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					<td><i></i></td>
					<td>While Vs For Loop</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
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					<td><i></i></td>
					<td>Break Continue Statment</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
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					<td><i></i></td>
					<td>Try And Except</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Exercise 3</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Functions</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Intro To Functions</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Arguments, Parameters And Multiple Arguments</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Arbitrary Arguments, Keyword Arguments, Arbitrary Keyword Arguments</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Default Parameter Value And Passing A List As Parameters</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Return Values And Pass Statements</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Exercise 4</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Python Arrays, Iterators and Generators</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Array, Length Of Array, Accessing Elements Of Array</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Adding, Removing Elements In Array, Array Methods</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Iterator In Python</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Generators In Python</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Exercise 5</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: File Manipulation</td>
				</tr>
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					<td>File Hancdling And Syntax</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Reading The File, Line Extraction And Parsing</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Appending And Writing The Files In Python</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create And Delete A File</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Certificate and Transcript</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order Your Certificates and Transcripts</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table>

John Academy

Programming Fundamentals

Computer Programming

Trainers Course

Python for Beginners

<p>The technique of epidemiology is used to identify the root causes of diseases and other health issues in populations. This course covers all aspects related to epidemiology. You will get a complete understanding of the causes of diseases, public health surveillance, methods of investigating an outbreak, and so on.</p><p>Epidemiology is more than simply a research activity. It serves as the foundation for directing practical and effective public health action based on this science and causal reasoning. This course has dedicated modules for the role of epidemiology in public health, which will provide you with a better understanding of the importance of this topic.</p><p>So, are you ready to upskill in the field of epidemiology? Do you want to add value to your CV? Are you curious to know all the factors related to an outbreak? Then, enrol on this course today and learn the fundamentals of this field along with CPD accredited certificate today.</p><p><strong>Learning Outcomes</strong></p><p>After completing this bundle course, you will be able to:</p><ul><li>Describe the concepts of epidemiology.</li><li>Learn the principles of epidemiology.</li><li>Understand the study design.</li><li>Know the control and prevention of outbreaks.</li><li>Measure the risk and prevention.</li><li>Point out the role of epidemiology in public health.</li></ul><p><strong>Our course is endorsed by the Quality Licence Scheme, ensuring your newly acquired skills will enhance your professional development.</strong></p><p><strong>Why People Enrol This Course From One Education:</strong></p><ul><li>Eligibility for an endorsed certificate upon successful completion</li><li>Learning materials of our course contains engaging voiceover and visual elements for your comfort</li><li>Get 24/7 access to all course content for a full year</li><li>Complete the course at your own pace</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li><li>Efficient assessments and instant results upon completion of our course</li></ul><p>Completion of this course will surely add value to your CV, and you will become well aware of this field. You can later build your career in this dynamic field of epidemiology. You can complete this course at your own pace, and you will get complete tutor support.</p><p>After successfully completing the course, you will be able to order an endorsed certificate as proof of your achievement. The hardcopy of this certificate of achievement endorsed by the Quality Licence Scheme can be ordered and received straight to your home by post.</p><p>Enjoy a pleasant and professional 100% online learning experience and enrol in our course today and take control of your career!</p><p><strong>Course Curriculum:</strong></p><p>Here is a curriculum breakdown of the course:</p><p><strong>Module 1: Understanding Epidemiology</strong></p><ul><li>Definition of Epidemiology</li><li>Study of Epidemiology</li><li>Uses of Epidemiology</li><li>Epidemiology and the Causes of Chronic Disease</li></ul><p><strong>Module 2: Principles of Epidemiology</strong></p><ul><li>Public Health Surveillance</li><li>Field Investigation</li><li>Analytic Studies</li><li>Evaluation</li><li>Linkages</li><li>Policy Development</li></ul><p><strong>Module 3: Study Design</strong></p><ul><li>Aspects of Study Design</li><li>Classifications of Study Design</li><li>Case-Series: Clinical and Population Based</li><li>Cross-Sectional Study</li><li>Case-Control Study</li><li>Cohort Study</li><li>Trials</li><li>Data Analysis and Interpretation</li><li>Attribution of Date</li><li>Attribution of Place</li><li>Use of Geographic Information Systems (GIS)</li></ul><p><strong>Module 4: Disease Occurrence</strong></p><ul><li>Concept of Disease</li><li>Disease Occurrence</li><li>Types of Disease</li><li>Communicable Diseases</li><li>Control of Communicable Diseases</li><li>Public Health Measures</li><li>Non-Communicable Diseases</li></ul><p><strong>Module 5: Variation in Disease by Time, Place, and Person</strong></p><ul><li>Introduction</li><li>Reasons for Analysing Disease Variations</li><li>Variations and Associations: Real or Artefact?</li><li>Applying the Real-artefact Framework</li><li>Applications of Observations of Disease Variation</li></ul><p><strong>Module 6: Epidemics and Outbreaks</strong></p><ul><li>Introduction</li><li>Rare Disease Clusters</li><li>Investigating an Outbreak</li><li>Uncovering Outbreaks</li><li>Deciding Whether to Investigate a Possible Outbreak</li><li>Control and Prevention</li><li>Steps of an Outbreak Investigation</li></ul><p><strong>Module 7: Measures of Risk and Disease Prevention</strong></p><ul><li>Introduction</li><li>Basic Principles of Risk</li><li>Exposure to Disease</li><li>Preventive Measures</li></ul><p><strong>Module 8: Measures of Disease Frequency</strong></p><ul><li>Incidence and Incidence Rate: The Concepts of Incidence</li><li>Frequency Measures</li><li>Ratio</li><li>Proportion</li><li>Rate</li><li>Prevalence and Prevalence Rate</li><li>Mortality Rate</li><li>Crude Mortality Rate</li><li>Cause-Specific Mortality Rate</li><li>Age-Specific Mortality Rate</li><li>Infant Mortality Rate</li><li>Measures of Public Health Impact</li><li>Attributable Proportion</li></ul><p><strong>Module 9: Role of Epidemiology in Public Health</strong></p><ul><li>Using Epidemiology to Evaluate Health Services</li><li>Efficacy, Effectiveness and Efficiency</li><li>Effectiveness of Public Health Services</li><li>The Basic Science of Public Health</li></ul><p><strong>Module 10: The Epidemiological Concept of Population</strong></p><ul><li>The Individual and the Population</li><li>Harnessing Heterogeneity in Individual and Group Level Disease, and Risk Factor Patterns</li><li>Disease Patterns As a Manifestation of Individuals Living in Changing Social Groups</li><li>Sick Populations and Sick Individuals</li><li>Individual and Population-Level Epidemiological Variables</li><li>The Dynamic Nature of Human Population</li><li>Applications of the Population Concept</li></ul><p><strong>Meet the Accreditation</strong></p><p><strong>The CPD Certification Service (CPD UK) </strong>assure the<strong> Epidemiology </strong>course training and learning activities are relevant, reliable, and upto date.</p><p><strong>How Is the Course assessed?</strong></p><p>To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. For each test, the pass mark will be set to 60%.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        120 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by The CPD Certification Service
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This course does not require any prior requirements. This course is completely online. This course can be enrolled by:</p><ul><li>Students</li><li>Recent graduates</li><li>Job Seekers</li><li>Anyone interested in this topic</li><li>People already working in the relevant fields who want to polish their knowledge and skill.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no specific prerequisites to enrol in this course. <strong>Anyone and everyone</strong> can take this course.</p><p>The course is fully accessible from any internet-enabled smart device. So, you can study from the comfort of your home!</p><p>All you need is a passion for learning, literacy, and being over the age of 16.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Completion of this course adds value to your CV. After completing this course, you can explore opportunities such as:</p><ul><li>Consultant Epidemiologist</li><li>Research associate in epidemiology</li><li>Public health consultant</li></ul><p>The average salary of these professions varies from<strong> £25,000 to £80,000 </strong>per annum for anyone in the United Kingdom.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            £9
        </p>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            £89
        </p>
            <div> <p><strong>QLS Endorsed Certificate</strong><br />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: £89</li><li>International: £89+ £10 (postal charge) = £99</li></ul><p><strong>CPD Certification Service Accredited Certification</strong></p><ul><li>Hardcopy Certificate (within the UK): £15</li><li>Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</li></ul> </div>

                        </div>

One Education

Epidemiology - Risk and Prevention Course

<div id="course-pricing" fr-original-style="" style="box-sizing: border-box;">
          <p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">The Complete Python Course - Beginner to Expert is an extensive learning program designed to take participants from novice to proficient Python programmers. Throughout the course, learners will embark on a comprehensive journey covering fundamental Python concepts and gradually progressing to advanced topics.</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">The course begins with an introduction to Python programming, providing an overview of its syntax, data types, and basic operations. Participants will gain a solid understanding of Python fundamentals, including variables, operators, and control flow structures.</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">As the course progresses, learners will delve deeper into advanced Python concepts, such as error handling, functions, and object-oriented programming. They will explore the intricacies of Python libraries, including NumPy and Pandas, for data manipulation and analysis.</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Furthermore, participants will receive invaluable guidance on launching a successful career in Python, including tips on freelancing, networking, and building a strong professional brand. By the end of the course, learners will be equipped with the knowledge and skills to pursue various career opportunities in Python development, data analysis, machine learning, and more.</span></p><h2 dir="ltr" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Learning Outcome of &nbsp;Complete Python Course - Beginner to Expert</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Gain a thorough grasp of Python programming from beginner to advanced levels.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Learn Python syntax, covering comments, line structure, and indentation.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Understand basic data types like strings, integers, floats, and booleans, and how to manipulate them.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Explore Python operators, including comparison, arithmetic, and logical operators.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Delve into advanced data types such as sets, lists, tuples, and dictionaries.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Master control flow structures like conditional statements and loops.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Develop proficiency in defining and using functions, understanding variable scope, and using docstrings.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Learn user input and error handling techniques, including syntax errors and exceptions.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Explore advanced topics like lambda functions, iterators, generators, and functional programming.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Discover scripting and libraries usage, including IDEs, text editors, and importing scripts.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Explore NumPy for numerical computing, including arrays and data manipulation.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Master data manipulation with Pandas, including dealing with missing values.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Get an introduction to object-oriented programming (OOP) concepts.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Explore advanced OOP topics like decorators, inheritance, and class methods.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Receive guidance on starting a career in Python, including freelancing and networking.</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Key Features of the Course</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">A CPD certificate that is recognised worldwide.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">A great online learning experience.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Interesting and unique online materials and activities.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Expert guidance and support from the field leaders.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Access to the study resources anytime you want.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Friendly and helpful customer service and admin support by email, phone, and chat from Monday through Friday.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Get a year-long access to the course.</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Who is this course for</span></h2><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">This &nbsp;Complete Python Course - Beginner to Expert Course is suitable for -</span></p></div><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Individuals new to programming</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Students seeking Python proficiency</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Professionals transitioning to Python</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Anyone aiming for expertise in Python</li></ul><h2 dir="ltr" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Requirements</span></h2><div id="course-pricing" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Open to all interested in Python.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">&nbsp;No prerequisites; suitable for individuals from any academic background.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Accessible course materials from any internet-enabled device.</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">CPD Certificate from Course Gate</span></h2><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for &pound;9 and the hard copy for &pound;15. Also, you can order both PDF and hardcopy certificates for &pound;22.</span></p><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Career path</span></h2></div><div fr-original-style="" style="box-sizing: border-box;"><div fr-original-style="" style="box-sizing: border-box;"><section fr-original-style="" style="box-sizing: border-box;"><div fr-original-style="" style="box-sizing: border-box;"><div fr-original-style="" style="box-sizing: border-box;"><div fr-original-style="" style="box-sizing: border-box;"><div fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Python Developer</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Data Analyst</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Software Engineer</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Machine Learning Engineer</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Web Developer</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Data Scientist</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Automation Engineer</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Cybersecurity Analyst</li></ul>
</div>
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</div>
</div>
</section>
</div>
</div><div fr-original-style="" style="box-sizing: border-box;">


</div>

Course Gate

Python Scripting

Unlock your potential in Python programming with our Complete Python Course - Beginner to Expert! From mastering syntax to advanced data analysis, machine learning, and web development, this comprehensive course equips you with essential programming skills. Start your journey today and become a proficient Python developer!

Complete Python Course - Beginner to Expert

<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;">Certificate in Anthropology Level 1</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">From the Introduction to Anthropology to exploring the rich History of Anthropological Thinking, delving into Culture and Anthropology, and examining Theoretical Approaches to Anthropology, you&#39;ll gain a comprehensive understanding of this diverse field. Dive deep into Anthropological Research Methods and explore the intricacies of Economic Anthropology. <br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Define the field of Anthropology and its key concepts.</p></li><li fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Examine the historical development and evolution of Anthropological Thinking.</p></li><li fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Analyze the role of Culture in the context of Anthropology.</p></li><li fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Explore various Theoretical Approaches used in Anthropological research.</p></li><li fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Apply different Anthropological Research Methods in practice.</p></li></ul><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;">More Benefits:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">LIFETIME access</li><li fr-original-style="" style="box-sizing: border-box;">Device Compatibility</li><li fr-original-style="" style="box-sizing: border-box;">Free Workplace Management Toolkit</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Certificate in Anthropology Level 1 Course Syllabus</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Introduction to Anthropology:</strong> Gain a foundational understanding of "Anthropology," exploring its scope, significance, and the role of anthropologists in studying human societies and cultures.</p></li><li fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">History of Anthropological Thinking: </strong>Dive into the historical evolution of "Anthropology" as a field of study, examining key thinkers, theories, and paradigm shifts that have shaped anthropological thought.</p></li><li fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Culture and Anthropology: </strong>Explore the intricate relationship between "Culture" and "Anthropology," delving into how anthropologists analyze, interpret, and compare diverse cultural practices, beliefs, and norms.</p></li><li fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Theoretical Approaches to Anthropology:</strong> Investigate various theoretical frameworks and perspectives used in "Anthropology," such as functionalism, structuralism, symbolic anthropology, and postmodernism, to understand cultural phenomena from different angles.</p></li><li fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Anthropological Research Methods: </strong>Discover the research methodologies and techniques employed by anthropologists, including participant observation, ethnography, interviews, surveys, and data analysis, to conduct systematic studies of societies and cultures.</p></li><li fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Economic Anthropology:</strong> Focus on the subfield of "Economic Anthropology," which examines economic systems, production, distribution, and consumption patterns within different cultural contexts, shedding light on the economic aspects of human societies.</p></li></ul><div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">

                        </div>

Empower UK Employment Training

Social Studies

Social Worker

Anthropology

Social Sciences

Embark on an enlightening journey with our Anthropology course. Explore the depths of human societies, uncovering the intricacies of culture, language, economics, and more. Tailored for those fascinated by the diverse tapestry of human existence.



Certificate in Anthropology Level 1

<p><strong>** CRM : KYC &amp; CDD for Customer Service &amp; Sales Compliance **</strong></p><p>Unlock the Power of Customer Relationship Management while Ensuring Regulatory Compliance</p><p>Are you ready to take your customer service and sales to the next level? In today's highly regulated business landscape, achieving both customer satisfaction and compliance is not an option-it's a necessity. Welcome to a course designed to equip you with the skills and knowledge to master Customer Relationship Management (CRM) with a sharp focus on Know Your Customer (KYC) and Customer Due Diligence (CDD) compliance.</p><p><strong>Why This Course Matters:</strong></p><p>In an era of heightened data protection and financial regulations, businesses need to build strong customer relationships while adhering to stringent compliance requirements. This course is your gateway to achieving this delicate balance.</p><p><strong>What You'll Learn:</strong></p><ul><li>Strategic CRM Implementation: Discover how to integrate CRM systems seamlessly into your customer service and sales operations to enhance engagement and loyalty.</li><li>KYC and CDD Essentials: Gain in-depth insights into KYC and CDD procedures, and learn how to verify customer identities, assess risks, and ensure regulatory compliance.</li><li>Compliance in Action: Explore real-world case studies and scenarios to apply KYC and CDD principles effectively within your organisation.</li><li>Data Protection and Privacy: Navigate the complex landscape of data protection laws and regulations to safeguard customer information while fostering trust.</li><li>Effective Communication: Learn to communicate compliance requirements transparently to customers, enhancing their experience.</li><li>Audit and Monitoring: Understand the importance of ongoing monitoring and reporting to stay compliant and adapt to evolving regulations.</li></ul><p><strong>Who Should Enrol :</strong></p><ul><li>Customer service professionals aiming to build stronger client relationships.</li><li>Sales and marketing teams seeking to leverage CRM for increased conversions.</li><li>Compliance officers and professionals responsible for KYC and CDD implementation.</li><li>Anyone interested in mastering CRM with a compliance perspective.</li></ul><p><strong>Course Format:</strong></p><p>This comprehensive course is designed for both beginners and experienced professionals. You'll have access to engaging video lectures, interactive quizzes, and practical exercises that mirror real-world scenarios. Our expert instructors will guide you through every step, ensuring you leave with actionable skills and a solid understanding of CRM, KYC, and CDD.</p><p><strong>Why Choose Us:</strong></p><p>Our instructors bring years of industry experience and compliance expertise to the table. You'll receive up-to-date knowledge and practical insights that you can apply immediately within your organisation.</p><p>Elevate your customer service and sales game while staying compliant-enrol today in "CRM: KYC &amp; CDD for Customer Service &amp; Sales Compliance," and take the first step toward excellence in customer relations and regulatory adherence.</p><p><strong>The Bundle includes the following</strong></p><ul><li><strong>Course 1:</strong> Phone-Based Customer Service</li><li><strong>Course 2:</strong> Sales: Psychology of Customers</li><li><strong>Course 3:</strong> Customer Analytics Training</li><li><strong>Course 4:</strong> Innovative Customer Service Techniques</li><li><strong>Course 5:</strong> Diploma in Customer Relationship Management (CRM)</li><li><strong>Course 6:</strong> Certificate in Know Your Customer (KYC) &amp; Customer Due Diligence (CDD)</li><li><strong>Course 7:</strong> GDPR Certificate</li><li><strong>Course 8:</strong> Customer Service - Representative</li></ul><p><strong>Accreditation and Endorsement </strong></p><p>The Customer Service: Know Your Customer &amp; AML Techniques to Ensure Compliance &amp; Effective Customer Screening course materials are recognised by Quality Licence Scheme (QLS) and <strong>CPD Certification Service (CPD UK</strong>) <strong>Accredited. </strong> This ensures the deep research and quality resource allocation behind the development phase of the course.</p><p><strong>Key Benefits</strong></p><ul><li>Learning materials of the Customer Service: AML Techniques to Ensure Compliance &amp; Effective Customer Screening course contain engaging voice-over and visual elements for your comfort.</li><li>Get 24/7 access to all Customer Service content for a full year.</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li></ul><p><strong>CRM : KYC &amp; CDD for Sales Compliance &amp; Customer Service</strong></p><p><strong>Curricuum Breakdown</strong></p><p><strong>Phone-Based Customer Service</strong></p><ul><li>Module 1: Introduction to Customer Service</li><li>Module 2: What's Different about Good Customer Service?</li><li>Module 3: Customer Relationship Management</li><li>Module 4: Customer Service Communication Strategies</li><li>Module 5: Aspects of Phone Etiquette</li><li>Module 6: Building Rapport Over the Phone</li><li>Module 7: Inbound and Outbound Calls</li><li>Module 8: Active Listening and Managing Tough Callers</li><li>Module 9: Managing Interoffice Calls and Voicemail</li><li>Module 10: Problem Solving over the Phone</li><li>Module 11: Intra Organisation Dealings</li><li>Module 12: Measuring Customer Service</li></ul><p><strong>Sales: Psychology of Customers</strong></p><ul><li>Introduction</li><li>Section 2 The Marketing Function</li><li>Section 3 The 'S' of A.S.K. - SERVING</li><li>Section 4 The K of A.S.K</li><li>Conclusion</li></ul><p><strong>Customer Analytics Training</strong></p><ul><li>Section 01: Basics Of Customer Analytics And Customer Life Cycle</li><li>Section 02: Customer Onboarding</li><li>Section 03: Customer Activation</li><li>Section 04: Cross Selling</li><li>Section 05: Campaign Life Cycle</li><li>Section 06: Conclusion</li></ul><p><strong>Innovative Customer Service Techniques</strong></p><ul><li>Section 01: Introduction</li><li>Section 02: History of Evolution</li><li>Section 03: Customer Service</li><li>Section 04: Customer Follow Up</li><li>Section 05: Exceeding customer service</li><li>Section 06: How to help?</li><li>Section 07: Innovative customer service</li></ul><p><strong>Diploma in Customer Relationship Management (CRM)</strong></p><ul><li>Module 01: Introduction to Customer Relationship Management (CRM)</li><li>Module 02: CRM Fundamentals</li><li>Module 03: CRM Strategies</li><li>Module 04: Data Analysis in CRM</li><li>Module 05: CRM Databases</li><li>Module 06: Deepening Customer Relationship</li><li>Module 07: Handling Customer Complaints</li><li>Module 08: Future of CRM</li></ul><p><strong>Certificate in Know Your Customer &amp; Customer Due Diligence</strong></p><ul><li>Module 01: Introduction to KYC</li><li>Module 02: Customer Due Diligence</li><li>Module 03: AML (Anti-Money Laundering)</li><li>Module 04: KYC, AML, and Data Privacy Regulations for Businesses Operations in the United Kingdom</li><li>Module 05: Regulations to be Complied by Industries</li><li>Module 06: Methods for carrying out KYC and AML and the Future of KYC Compliance</li></ul><p><strong>GDPR Certificate</strong></p><ul><li>GDPR Basics</li><li>GDPR Explained</li><li>Lawful Basis for Preparation</li><li>Rights and Breaches</li><li>Responsibilities and Obligations</li></ul><p><strong>Customer Service - Representative</strong></p><ul><li>WHY Customer Service Is CRITICAL To Your Business!</li><li>Good Isn't Good Enough!</li><li>We Are ALL in the 'Helping Field'</li><li>Providing 'Concierge' Level Of Service</li><li>The 5 Tenets Of TQM</li><li>How To Boost Customer Satisfaction</li><li>How To Avoid The 10 Deadly Sins Of Customer Service!</li><li>More Money $$$ - Through Customer Retention</li><li>How Much Is A Customer Worth? $$$</li><li>Do You Understand Your Customer?</li><li>Dealing With Difficult Customers</li><li>'LEAP' Into Customer Service!</li><li>Exceptional Phone Service</li><li>WHY Customers Buy From YOU! $$$</li><li>BONUS LECTURE!!! FINAL TIPS!!!</li></ul><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p><strong>CRM : KYC &amp; CDD for Sales Compliance &amp; Customer Service</strong></p><p>Particularly this <strong>Customer Service </strong>course is effective for-</p><ul><li>Compliance Analysts</li><li>Compliance Managers</li><li>Analysts / Know Your Client Analysts</li><li>AML/TF(Anti Money Laundering and Terrorist Financing) Analysts</li><li>AML/TF Managers</li><li>Onboarding Analysts</li><li>Anyone in the financial compliance sector (private companies, regulated or non-regulated companies, banking, real estate, lawyers, or public sector employees).</li></ul><p><strong>NB</strong>: This is not a regulated course. To get qualified, you need to enrol:</p><ul><li>Level 2 Certificate in Principles of Customer Service</li><li>Level 3 Certificate in Principles of Customer Service</li><li>Level 3 Diploma in Customer Service (RQF)</li><li>Certificate in Know Your Customer &amp; Customer Due Diligence</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p><strong>CRM : KYC &amp; CDD for Sales Compliance &amp; Customer Service</strong></p><p>There are no specific prerequisites to enrol in this course. <strong>Anyone and everyone</strong> can take this <strong>Customer Service </strong>course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p><strong>CRM : KYC &amp; CDD for Sales Compliance &amp; Customer Service</strong></p><p>After completing this <strong>Customer Service </strong>course, you will have the knowledge and skills to explore trendy and in-demand jobs, such as;</p><ul><li>KYC Analyst</li><li>Fraud Monitoring Associate</li><li>Investigations Specialist</li><li>AML Prevention Representative</li></ul><p>These professionals typically make between<strong> £35k to £75k </strong>annually in the United Kingdom.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion (PDF)</h4>
        <p>
            Digital certificate -
            £9
        </p>
            <div> <p>After successfully completing this <strong>KYC </strong>Course, you will qualify for the CPD Certification Service (CPD UK) certified certificate from One Education.</p><p>Certification is available in both PDF &amp; hardcopy format, which can be received by paying -</p><ul><li>PDF Certificate: £9</li></ul> </div>
        <h4>Certificate of completion (Hardcopy)</h4>
        <p>
            Hard copy certificate -
            £15
        </p>
            <div> <ul><li>Hardcopy Certificate (within the UK): £15</li><li>Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</li></ul> </div>
        <h4>Certificate of completion (QLS Hardcopy)</h4>
        <p>
            Hard copy certificate -
            £109
        </p>
            <div> <p><strong>Method of Assessment</strong></p><ul><li>MCQ Based</li><li>Exam Passing Score: 60%</li><li>Unlimited Retakes</li><li>Instant Assessment and Feedback</li></ul><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>After successfully completing this course, learners will be able to order an endorsed certificate as proof of their achievement. The 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><strong>Within the UK: £109</strong></li><li><strong>International: £109 + £10 (postal charge) = £119</strong></li></ul> </div>

                        </div>

Customer Service : KYC & CDD for CRM & Sales Compliance Course

Predictive Analytics

Mode

Ssas

This course is perfect for the beginner but also delves into building a SAS Model and intermediate topics. Learn SAS Data Step, SQL Step, Macros, SAS Model Building, Predictive Analytics, SAS and ML. If you are using SAS Enterprise Guide and want to learn how to code/program instead of using the point-and-click interface, this course is ideal!

Complete SAS Programming Guide - Learn SAS and Become a Data Ninja



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

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



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


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


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


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


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


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

Real Estate Finance

Investment Management

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

Real Estate Modelling Masterclass (Advanced Cash Flow Modelling)

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



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


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


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


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


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


Quizzes | Q&A


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


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

Risk Management

Investment

Financial Risk Management

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

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

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

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

 Course Curriculum

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


IOMH - Institute of Mental Health

Big Data Analytics

Data Analysis Expressions

Data Management

Data Entry

Data Analysis

Big Data

Data Analyst

Business Data Analysis

Data Analyst: Data Analysis in Excel

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

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                                    <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

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

Clinical Data Analysis with SAS

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

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

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

Business

Business Analysis

Business & Finance

Business & Management

Business & Marketing



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


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


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


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


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


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


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


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


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


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


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


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

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

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					<div><p>Join our Basic Data Analysis Training program for an exciting journey into data analysis. This dynamic Data Analysis Course is designed for everyone, from absolute beginners to seasoned professionals. Enhancing your skills in data analysis can be greatly advantageous with the use of this tool.</p><p>In the initial stages, we focus on the fundamental principles of process management. Having a strong knowledge base is crucial for effectively managing complex data analysis tasks. Following this, we'll explore an intriguing concept known as 'The Voice of the Process.' Our mission is to empower you to enhance your procedures by pinpointing crucial areas for growth.</p><p>As we journey to the heart of the course, we delve into the practical side of data analysis. You will learn about various powerful tools such as Pareto Charts, Histograms, and Run Charts. We'll study data variations to understand complex data sets better.</p><p>The Data Analysis Course culminates with the application of data to drive improvement. We'll cover managing data differences and end with a practical course assignment. Upon completion, you will receive a certificate as proof of your newly acquired skills in data analysis.</p></div>
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			<h2><b> Learning outcome</b></h2>		</div>
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										<span>Gain a comprehensive understanding of data analysis principles.</span>
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										<span>Learn to use essential tools for data analysis.</span>
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										<span>Understand and interpret variation in data.</span>
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										<span>Develop skills to present performance data effectively.</span>
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										<span>Learn strategies to deal with variation.</span>
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			<h2> <b>Why should I take this course?</b></h2>		</div>
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										<span>Improve your career prospects in the field of data science.</span>
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										<span>Develop skills to understand and interpret complex data.</span>
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										<span>Receive a certificate to validate your learning.</span>
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										<span>Access a comprehensive and practical approach to data analysis.</span>
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										<span>Expand your knowledge in key areas such as nutrition, pain management, and fluid balance, enabling you to provide holistic care to patients.</span>
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			<h2> <b>Requirements</b></h2>		</div>
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										<span>Basic knowledge of statistical concepts.</span>
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										<span>Internet connection for online learning.</span>
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                                <h2>Course Curriculum</h2>
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					<td colspan="4"><strong>Basic Data Analysis Training</strong></td>
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					<td>▶</td>
					<td>Module 01: Introduction</td><td><span>🕐 00:02:00</span></td>
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					<td>Module 02: Agenda and Principles of Process Management</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 03: The Voice of the Process</td><td><span>🕐 00:05:00</span></td>
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					<td>Module 04: Working as One Team for Improvement</td><td><span>🕐 00:04:00</span></td>
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					<td>Module 05: Exercise: The Voice of the Customer</td><td><span>🕐 00:03:00</span></td>
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					<td>Module 06: Tools for Data Analysis</td><td><span>🕐 00:07:00</span></td>
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					<td>Module 07: The Pareto Chart</td><td><span>🕐 00:03:00</span></td>
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					<td>Module 08: The Histogram</td><td><span>🕐 00:03:00</span></td>
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					<td>Module 09: The Run Chart</td><td><span>🕐 00:04:00</span></td>
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					<td>Module 10: Exercise: Presenting Performance Data</td><td><span>🕐 00:05:00</span></td>
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					<td>Module 11: Understanding Variation</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 12: The Control Chart</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 13: Control Chart Example</td><td><span>🕐 00:04:00</span></td>
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					<td>Module 14: Control Chart Special Cases</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 15: Interpreting the Control Chart</td><td><span>🕐 00:10:00</span></td>
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					<td>Module 16: Control Chart Exercise</td><td><span>🕐 00:07:00</span></td>
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					<td>Module 17: Strategies to Deal with Variation</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 18: Using Data to Drive Improvement</td><td><span>🕐 00:14:00</span></td>
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					<td>Module 19: A Structure for Performance Measurement</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 20: Data Analysis Exercise</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 21: Course Project</td><td><span>🕐 00:03:00</span></td>
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					<td>Module 22: Test your Understanding</td><td><span>🕐 00:17:00</span></td>
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Enrich your data analysis skills with this premium, comprehensive course. Learn about variation, performance data presentation, process management, and more. Start now!

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