Name: Statistics Analyst - CPD Accredited Course
Price: 23 GBP
Availability: InStock

<p>A <strong>Basics of Statistics</strong> course is crucial in the modern world, offering a foundation in understanding and applying statistical concepts. Statistics is integral to various aspects of life and work, providing tools to analyze data, make informed decisions, and solve problems efficiently. Whether you are interpreting data from surveys, understanding market trends, or making business forecasts, statistics is indispensable.</p><p>Learning statistics enhances your ability to critically evaluate information, a skill highly valued in many professions. In the UK, proficiency in statistics can significantly improve job prospects, with roles such as data analyst, statistician, and market researcher in high demand. <strong>Salaries for these positions can range from £30,000 to £50,000 annually</strong>.</p><p><strong>The field of statistics is growing rapidly, with a projected increase of 33% over the next decade</strong>, reflecting its importance in data-driven industries. By understanding charts, graphs, sampling, probability, central tendency, and dispersion, you gain a versatile skill set. This course not only boosts your career prospects but also equips you with analytical skills that are essential in today's data-centric world.</p><p><strong>Key Features:</strong></p><ul><li>CPD Certified Basics of Statistics Course </li><li>Free Certificate from Reed</li><li>CIQ Approved Basics of Statistics Course</li><li>Developed by Specialist</li><li>Lifetime Access</li></ul><p><strong>Course Curriculum</strong></p><ul><li><strong>Module 01: </strong>Introduction to Statistics</li><li><strong>Module 02: </strong>Charts and Graphs</li><li><strong>Module 03: </strong>Sampling</li><li><strong>Module 04: </strong>Probability</li><li><strong>Module 05:</strong> Measuring Central Tendency</li><li><strong>Module 06: </strong>Measures of Dispersion</li></ul><p><strong><strong>Learning Outcomes</strong></strong></p><ul><li>Explain the fundamental concepts in statistics and their applications.</li><li>Create and interpret various charts and graphs to visualize data.</li><li>Understand different sampling methods and their significance in research.</li><li>Calculate probabilities and apply them to real-world scenarios.</li><li>Calculate and interpret measures of central tendency accurately.</li><li>Analyze data variability using measures of dispersion.</li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        10 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><li>
                                        <h3>
                                            
                                                Basics of Statistics <span>54:24</span>
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                                        <ul id="section1">
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                                                    <span>1: Module 01: Introduction to Statistics</span>

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                                                    <span>2: Module 02: Charts and Graphs</span>

                                                    <span>09:44</span>

                                                        
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                                                <li>
                                                    <span>3: Module 03: Sampling</span>

                                                    <span>09:36</span>

                                                        
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                                                <li>
                                                    <span>4: Module 04: Probability</span>

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                                                    <span>5: Module 05: Measuring Central Tendency</span>

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                                                    <span>6: Module 06: Measures of Dispersion</span>

                                                    <span>05:35</span>

                                                        
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                                                    <span>7: CPD Certificate - Free</span>

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                                                <li>
                                                    <span>8: Leave A Review</span>

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

                        <div id="who_is_this_course_for">
                            <p>This Basics of Statistics course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Basics of Statistics. Moreover, this course is ideal for:</p><ul><li>Students aiming to grasp foundational statistical principles.</li><li>Professionals needing statistical knowledge for data interpretation.</li><li>Individuals pursuing academic or research careers in related fields.</li><li>Anyone interested in understanding statistical methods and applications.</li><li>Learners seeking to enhance data analysis skills.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

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

                        <div id="career_path">
                            <p>After finishing this Basics of Statistics course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Basics of Statistics are: </p><ul><li>Data Analyst</li><li>Research Assistant</li><li>Statistician</li><li>Market Researcher</li><li>Financial Analyst</li><li>Business Intelligence Analyst</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Online Training Academy

Basics of Statistics

General Admission

<p>Turn your skills into a competitive advantage that is recognised globally and endorsed for quality by QLS, the UK's most reputable high-quality course auditor.</p><p>Gain expertise in using the proper data collection methods, employing the correct analyses, and effectively presenting the results. Learn about standard deviation, probability distributions, probability theory, ANOVA, and other statistical terms. Explore statistics, data analysis, business analytics, and other related skills to conduct research works efficiently. Also, know how to create charts and graphs and use them effectively, including analysing and avoiding common statistical errors. Enrol now to become a statistics pro!</p><p>This premium QLS endorsed Statistics course comes with intensive study modules, dedicated tutor assistance, customer support, flexible learning opportunity and a globally recognised certification all-together. Thus, successful completion of our Statistics course will give you limitless opportunities anywhere and everywhere, since the value of QLS endorsed courses are quite high, to say the least!!</p><p>What's more, the quality of our first-class course is uncompromising for both you and us. You will be taught the richest of materials from this exquisite Statistics course, enabling you to open up a vast world of opportunities for you to grasp and gain success from. For the price point, this course is actually an absolute steal! It's an investment you absolutely do not want to miss out on!</p><p>So, why delay any longer? Benefit your career progression by joining us today and distinguish yourself as, unquestionably, the most skilled one in your workplace!</p><p><strong>Why Learn with us: </strong></p><p>We, as one of the leading eLearning service providers across the globe, strive to provide all our learners with the best eLearning experience possible that can make a real difference in their career progression.</p><p><strong>Our Service for the </strong><strong>Statistics</strong><strong> Includes: </strong></p><ul><li>Intensive Study Notes</li><li>Tutor Support</li><li>Customer Support</li><li>Assignment Help</li><li>QLS Endorsed Certificate</li><li>24/7 Learning Portal Access</li><li>Widely Compatible Study Materials</li></ul><p><strong>Course Curriculum of </strong><strong>Statistics</strong></p><ul><li><strong>Module 01:</strong> Introduction to Statistics</li><li><strong>Module 02:</strong> Measuring Central Tendency</li><li><strong>Module 03:</strong> Measures of Dispersion</li><li><strong>Module 04:</strong> Correlation and Regression Analysis</li><li><strong>Module 05:</strong> Probability</li><li><strong>Module 06:</strong> Sampling</li><li><strong>Module 07:</strong> Charts and Graphs</li><li><strong>Module 08:</strong> Hypothesis Testing</li><li><strong>Module 09:</strong> Ten Common Statistical Mistakes</li></ul><p><strong>Assessment &amp; Certification</strong></p><p>Learners must submit a comprehensive summerised assignment on all the units that will be assessed by our expert tutor if all the learning outcomes are met as per the standard set by QLS. After the quality check, learner will be provided with the Statistics certificate.</p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>An endorsed certificate will be issued to learners at the end of the course as recognition of course completion. Provided that learner completes all the assessment of a course can claim for certificate.</p><p><strong>Endorsement:</strong></p><p>QLS endorsed this certified course as a highly qualified, non-regulated provision and training programme. There will be a trainer to answer all your questions including your progression routes into further higher education.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>Our course is open for everyone. This Statistics is ideal for those who aspire to gain in-depth knowledge &amp; efficient skill to embark into the relevant sector as a promising potential.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no formal requirements needed for this Statistics course. So learners do not require any prior qualifications to enrol in this course.</p>
                        </div>

Kingston Open College

Learning Support Assistant (LSA)

Certificate in Further Education & Training (Cert Ed)

Certified Manager of Quality

Professional Skills Course (PSC)

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

Level 4 Diploma in Statistics - QLS Endorsed

<p>Data is everywhere, and with the growing amount of information available, it's easy to get lost in the numbers. That's where Statistics comes in. Understanding the principles of Statistics is essential in making informed decisions in today's data-driven world. For instance, have you ever wondered how businesses make accurate predictions or how researchers make significant discoveries? They all use Statistics.</p><p>In the UK, the demand for skilled statisticians is high. In fact, statistics-related jobs are among the fastest-growing and highest-paid professions in the country. This course is designed to equip you with the essential tools and techniques to become a proficient statistician.</p><p>Enrol in this course today and discover the world of Statistics, from probability and hypothesis testing to sampling and regression analysis.</p><p><strong>Learning Outcomes:</strong></p><p>By the end of this course, learners will be able to:</p><ul><li>Describe the fundamental concepts of Statistics</li><li>Calculate and interpret measures of central tendency and dispersion</li><li>Apply correlation and regression analysis to make predictions</li><li>Understand the principles of probability and apply them to real-world problems</li><li>Discuss the importance of sampling in Statistics</li><li>Create and interpret charts and graphs</li></ul><p><strong>Meet the Accreditation</strong></p><p><strong>The CPD Certification Service (CPD UK</strong>) assures the <strong>Statistics</strong> and learning activities are relevant, reliable, and upto date.</p><p><strong>Expert Support</strong></p><p>Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course.</p><p><strong>Key Benefits</strong></p><ul><li>Learning materials of the Design course contain engaging voiceover and visual elements for your comfort.</li><li>Get 24/7 access to all content for a full year.</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li></ul><p>This course provides an introduction to the field of Statistics. You will learn the fundamental concepts of Statistics, including how to measure central tendency and dispersion. You will also learn how to apply correlation and regression analysis to make predictions. The course covers probability theory and its applications, sampling techniques, and the use of charts and graphs.</p><p>Through a series of lectures and practical exercises, you will develop the skills necessary to work with real-world data. By the end of the course, you will be able to interpret and create various types of charts and graphs and apply statistical analysis techniques to solve problems.</p><p><strong>Course Curriculum:</strong></p><p>Here is a curriculum breakdown of the Statistics course:</p><ul><li>Module 01: Introduction to Statistics</li><li>Module 02: Measuring Central Tendency</li><li>Module 03: Measures of Dispersion</li><li>Module 04: Correlation and Regression Analysis</li><li>Module 05: Probability</li><li>Module 06: Sampling</li><li>Module 07: Charts and Graphs</li><li>Module 08: Hypothesis Testing</li><li>Module 09: Ten Common Statistical Mistakes</li></ul><p><strong>Course Assessment </strong></p><p>To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%.</p><p>When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme.</p><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">
                            <ul><li>Students studying mathematics or related fields</li><li>Individuals interested in pursuing a career in statistics</li><li>Researchers and analysts who work with data</li><li>Business professionals who want to make informed decisions based on data</li><li>Anyone interested in learning about Statistics</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

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

                        <div id="career_path">
                            <p>Upon successful completion of the Statistics Course, learners will be equipped with many indispensable skills and have the opportunity to grab, such as:</p><ul><li>Data Analyst - £32,500 per annum</li><li>Business Intelligence Analyst - £35,000 per annum</li><li>Market Research Analyst - £30,000 per annum</li><li>Data Scientist - £50,000 per annum</li><li>Financial Analyst - £35,000 per annum</li><li>Actuary - £40,000 per annum</li></ul>
                        </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

Statistics Diploma Course

<p>Statistics and Probability are a part of everyday life that we all have to master, not only because you might use it to analyse data but also because it can improve your understanding of the world through using numbers and other quantitative data.</p> <p>The primary purpose of the Statistics and Probability course is to help you in knowledge provision, probability calculation, record keeping and improved decision-making. This course will cover topics such as central tendency, measures dispersion, correlation, regression analysis, probability, and sampling. You will also be adept in hypothesis testing and interpretation of data through charts and graphs. </p> <p>Take this Statistics and Probability course to enhance your competency and facilitate your career growth.</p> <p><strong>Learning Outcome</strong></p> <ul> <li>Study essential concepts of statistical analysis.</li><li>Learn how to test hypotheses to improve your forecasts.</li><li>Study dispersion, sampling, and probability</li><li>Become familiar with correlation and regression analysis</li><li>Know about common statistical mistakes and how to avoid them</li></ul> <p><strong>What will Make You Stand Out?</strong></p> <p>On completion of this Statistics and Probability online course, you will gain:</p> <ul> <li>CPD QS Accredited course</li><li>After successfully completing the Course, you will receive a <strong>FREE PDF Certificate </strong>as evidence of your newly acquired abilities.</li><li>Lifetime access to the whole collection of learning materials.</li><li>Enroling in the Course has no additional cost.</li><li>24x7 Tutor Support</li><li>You can study and complete the course at your own pace.</li></ul><p><strong>Course Curriculum</strong></p> <p><strong>Statistics and Probability</strong></p> <ul> <li>Module 01: Introduction to Statistics</li><li>Module 02: Measuring Central Tendency</li><li>Module 03: Measures of Dispersion</li><li>Module 04: Correlation and Regression Analysis</li><li>Module 05: Probability</li><li>Module 06: Sampling</li><li>Module 07: Charts and Graphs</li><li>Module 08: Hypothesis Testing</li><li>Module 09: Ten Common Statistical Mistakes</li></ul> <p><strong>Show off your new skills with a certificate of completion.</strong></p> <p>After successfully completing the course, you can order your CPD Accredited Certificates as proof of your achievement absolutely free. </p> <p><strong>Please Note: </strong>The delivery charge inside the U.K. is £4.99, and international students have to pay £8.99.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                             <p><strong>Is This Course the Right Option for You?</strong></p> <p>This  Statistics and Probability course is open to everybody. You can access the course materials from any location in the world and there are no requirements for enrolment.</p> 
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>Without any formal requirements, you can delightfully enrol in this  Statistics and Probability course. Just get a device with internet connectivity and you are ready to start your learning journey. Thus, complete this course at your own pace.</p> 
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>The aim of this exclusive Statistics and Probability course is to help you toward your dream career. So, complete this course and enhance your skills to explore opportunities in relevant areas. </p> 
                        </div>

NextGen Learning

Statistical Computing

Biostatistics

Statistics and Probability

<p>Master the art of statistical analysis and unlock the insights hidden in your data with our comprehensive online statistics course. Learn the fundamental concepts and techniques of statistical analysis and how to apply them to real-world problems. Therefore, why are you waiting, enroll in our course now before it's too late!</p><p>In this course, students will learn about the key theories and methods for gathering, examining, and deriving conclusions from data. To develop conceptual knowledge, it guides you through the technology used in research, problem-solving, and writing. Next, get to know how to create surveys and experiments as well as examine statistics via discussion and activities.</p><p>Furthermore, you will understand how to choose the best techniques for gathering or evaluating data. Most importantly you will discover the key skill for becoming a top-notch statistician which is the ability to explain patterns, trends, connections, and linkages in data. After that, the course describes probability distributions and defines uncertainty in statistical judgments using simulation and probability.</p><p><strong>Learning outcome: </strong>At the end of this course, you will:</p><ul><li>Describe statistics and probability concepts.</li><li>Understand a population's quantifiable characteristics.</li><li>Learn many approaches to interpreting relative frequency.</li><li>Discusses the variations between an estimator's expected value and a parameter's real value.</li><li>Grasp the knowledge for the creation and interpretation of distributional graphs for discrete variables.</li><li>Improve the ability to reason quantitatively and numerically!</li><li>Recognise and master the computation of a variety of different descriptive statistics.</li></ul><p><strong>Key Features of the Statistics Course :</strong></p><ul><li>Instant e-certificate</li><li>Fully online, interactive course with audio voiceover</li><li>Developed by qualified professionals in the field</li><li>Self-paced learning and laptop, tablet, smartphone-friendly</li><li>24/7 Learning Assistance</li><li>Discounts on bulk purchases</li></ul><p><strong>*** Additional Gifts ***</strong></p><ul><li><strong>Free Life Coaching Course</strong></li></ul><p><strong>*** (Offer Ends Soon) ***</strong></p><p>The learner needs to finish 14 modules and the total duration for this course is 6 hours. The modules are as follows:</p><p><strong>The detailed curriculum outline of our course is as follows:</strong></p><ul><li>Module 01: The Realm of Statistics</li><li>Module 02: Basic Statistical Terms</li><li>Module 03: The Center of the Data</li><li>Module 04: Data Variability</li><li>Module 05: Binomial and Normal Distributions</li><li>Module 06: Introduction to Probability</li><li>Module 07: Estimates and Intervals</li><li>Module 08: Hypothesis Testing</li><li>Module 09: Regression Analysis</li><li>Module 10: Algorithms, Analytics and Predictions</li><li>Module 11: Learning From Experience: The Bayesian Way</li><li>Module 12: Doing Statistics: The Wrong Way</li><li>Module 13: How We Can Do Statistics Better</li></ul><p><strong>Accreditation</strong></p><p>This Statistics is CPD Certification Service (CPD UK) Accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field.</p><p><strong>Disclaimer:</strong> The CPD approved course is owned by E-Learning Solutions Ltd and is distributed under license.</p><p><strong>Certification</strong></p><p>Once you've successfully completed your Statistics course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        10 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>The course issuitable for any person and doesn't have any entry requirement to enroll in this course. People in this field include:</p><ul><li>Statistics students</li><li>Finance students</li><li>Operational analysts</li><li>Business and investment analysts</li><li>Anyone who wants to learn about statistics.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Learners do not require any prior knowledge or qualifications to enrol in this course. Our flexible learning platform allows you to access the course from:</p><ul><li>any device</li><li>any time</li><li>anywhere</li><li>any type of internet connection</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Upon completion of the course, you'll be equipped with the abilities, and practical knowledge needed to build a lucrative career in the field. Here are few career choices one could go for:</p><ul><li>Data Analyst (£25,000 - £45,000)</li><li>Market Researcher (£25,000 - £45,000)</li><li>Statistician (£30,000 - £50,000)</li><li>Data Scientist (£35,000 - £60,000)</li><li>Business Intelligence Analyst (£30,000 - £50,000)</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.</p> </div>

                        </div>

Training Express

Statistics Training Course

<p><strong>Statistics Analyst course teaches you everything on the topic thoroughly from scratch so you can claim a certificate of achievement for free to showcase your achievement in professional life. This Statistics Analyst course is a comprehensive, instructor-guided course, designed to provide a detailed understanding of the nature of the related sector and your key roles within it.</strong></p><p>To become successful in your profession, you must have a specific set of skills to succeed in today's competitive world. In this in-depth training course, you will develop the most in-demand skills to kickstart your career, as well as upgrade your existing knowledge &amp; skills.</p><p>The training materials of this course are available online for you to learn at your own pace and fast-track your career with ease.</p><p><strong>Key Features of the Statistics Analyst Course :</strong></p><ul><li>Instant e-certificate</li><li>Fully online, interactive course with audio voiceover</li><li>Developed by qualified professionals in the field</li><li>Self-paced learning and laptop, tablet, smartphone-friendly</li><li>24/7 Learning Assistance</li><li>Discounts on bulk purchases</li></ul><p><strong>*** Additional Gifts ***</strong></p><ul><li><strong>Free Life Coaching Course</strong></li></ul><p><strong>*** (Offer Ends Soon) ***</strong></p><p><strong>Course Curriculum</strong></p><p>The detailed curriculum outline of our Statistics Analyst course is as follows:</p><ul><li><strong>Module 01:</strong> Introduction to Statistics</li><li><strong>Module 02:</strong> Measuring Central Tendency</li><li><strong>Module 03:</strong> Measures of Dispersion</li><li><strong>Module 04:</strong> Correlation and Regression Analysis</li><li><strong>Module 05:</strong> Probability</li><li><strong>Module 06:</strong> Sampling</li><li><strong>Module 07:</strong> Charts and Graphs</li><li><strong>Module 08:</strong> Hypothesis Testing</li><li><strong>Module 09:</strong> Business Processes</li><li><strong>Module 10:</strong> Business Analysis Planning and Monitoring</li><li><strong>Module 11:</strong> Strategic Analysis and Product Scope</li><li><strong>Module 12:</strong> Ratio Analysis</li><li><strong>Module 13:</strong> Planning &amp; Forecasting Operations</li><li><strong>Module 14:</strong> Ten Common Statistical Mistakes</li></ul><p><strong>Accreditation</strong></p><p>This Statistics Analyst is CPD Certification Service (CPD UK) Accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field.</p><p><strong>Disclaimer:</strong> The CPD approved course is owned by E-Learning Solutions Ltd and is distributed under license.</p><p><strong>Certification</strong></p><p>Once you've successfully completed your Statistics Analyst course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        10 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>Anyone with a knack for learning new skills can take this Statistics Analyst course. While this comprehensive training is popular for preparing people for job opportunities in the relevant fields, it also helps to advance your career for promotions.</p>
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                            <p>Learners do not require any prior qualifications to enrol in this <strong>Statistics Analyst</strong> course.</p>
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                            <p>This <strong>Statistics Analyst</strong>course will lead you to many different career opportunities, here are few prospects:</p><ul><li>Data Analyst : £32,200 - £34,300 per annum</li><li>Planning Analyst: £35,000 - £40,000 per annum</li><li>Management Accountant: £200.00 per day</li></ul>
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                                    <h4>Certificate of completion</h4>
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            Digital certificate -
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        <h4>Certificate of completion</h4>
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            Hard copy certificate -
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            <div> <p>You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.</p> </div>

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Statistics Analyst Course

<p><strong>*** A Better Pathway for Rapid Growth! Limited Time Opportunity; Hurry Up! ***</strong></p><p>Ignite your dynamic career and strengthen your deep insight knowledge by signing up for Statistics: Analysis and Inference. This Statistics: Analysis and Inference is the ideal approach for you to obtain a thorough understanding and knowledge of the subject.</p><p>We are concerned about the progression of your career. Therefore, after conducting extensive studies and consulting with experienced personnel, we formulated this outstanding Statistics: Analysis and Inference course to improve your pertinent skills. In this easy-to-digest Statistics: Analysis and Inference course, you will get exclusive training, which will enable you to stand out in this competitive market.</p><p>However, the course covers all of the recent materials in order to keep you up to date with the job market and make you a good fit for your career. This top-notch Statistics: Analysis and Inference course curriculum comprises basic to advanced levels of modules that will increase your skillsets. After completing this, you will attain the productivity to succeed in your organisation.</p><p>So, if you are eager to see yourself in a gratifying Statistics: Analysis and Inference career, then enrol in our course today!</p><p><strong>What will make you stand out?</strong></p><p>On completion of this online course, you will gain:</p><ul><li>After successfully completing the Statistics: Analysis and Inference Course, you will receive a <strong>FREE PDF Certificate </strong>as evidence of your newly acquired abilities.</li><li>Lifetime access to the whole collection of Statistics: Analysis and Inference learning materials.</li><li>The course online test with immediate results</li><li>Enroling in this Course has no additional costs.</li><li>You can study and complete the course at your own pace.</li><li>Study for the Statistics: Analysis and Inference course using any <strong>internet-connected device,</strong> such as a computer, tablet, or mobile device.</li></ul><p>The substantial Statistics: Analysis and Inference is designed to help you demonstrate the preliminary to in-depth level of learning regarding this topic. Moreover, you will be provided with the most knowledgeable and informative modules for your lifetime by enroling in this Statistics: Analysis and Inference just once. Furthermore, as you proceed through the modules of this course, you will discover the fundamentals of Statistics: Analysis and Inference and explore the key topics such as:</p><p><strong>Statistics: Analysis and Inference</strong></p><ul><li>Module 01: The Realm of Statistics</li><li>Module 02: Basic Statistical Terms</li><li>Module 03: The Center of the Data</li><li>Module 04: Data Variability</li><li>Module 05: Binomial and Normal Distributions</li><li>Module 06: Introduction to Probability</li><li>Module 07: Estimates and Intervals</li><li>Module 08: Hypothesis Testing</li><li>Module 09: Regression Analysis</li><li>Module 10: Algorithms, Analytics and Predictions</li><li>Module 11: Learning From Experience: The Bayesian Way</li><li>Module 12: Doing Statistics: The Wrong Way</li><li>Module 13: How We Can Do Statistics Better</li></ul><p>Therefore, reinforce your knowledge and furnish your skills by enroling in our Statistics: Analysis and Inference course. Take one step closer to achieving your goal.</p><p><strong>Show off your new skills with a certificate of completion</strong></p><p>When you have finished all of the Statistics: Analysis and Inference course lectures, a digital certificate will be available for download.</p><h2>
        
        <div>CPD</div>
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                                            Accredited by CPD Quality Standards
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        <div>Who is this course for?</div>
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                        <div id="who_is_this_course_for">
                            <p><strong>Is This Statistics: Analysis and Inference Course the Right Option for You?</strong></p><p>This Statistics: Analysis and Inference course is recommended for anyone who is interested in learning more about this topic. You'll learn the fundamental ideas and gain a comprehensive understanding of the topic by taking this course.</p><p>This Statistics: Analysis and Inference course is open to everybody. You can access the course materials from any location in the world and there are no requirements for enrolment.</p><p><strong>You should enrol in this Statistics: Analysis and Inference course if you:</strong></p><ul><li>Aspire to understand Statistics: Analysis and Inference better.</li><li>Already working on Statistics: Analysis and Inference and eager to learn more.</li><li>Is a student pursuing a relevant field of study?</li><li>Trying to get a job in Statistics: Analysis and Inference-related fields.</li></ul>
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        <div>Requirements</div>
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                            <p>Without any formal requirements, you can delightfully enrol in this Statistics: Analysis and Inference course. Just get a device with internet connectivity and you are ready to start your learning journey. Thus, complete this course at your own pace.</p>
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        <div>Career path</div>
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                        <div id="career_path">
                            <p>The aim of this exclusive Statistics: Analysis and Inference course is to help you toward your dream career. So, complete this course and enhance your skills to explore opportunities in relevant areas.</p>
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Business Analytics & Intelligence

Statistics: Analysis and Inference

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							<p><span>By enroling in Statistics: Analysis and Inference, you can kickstart your vibrant career and strengthen your profound knowledge. You can learn everything you need to know about the topic.</span></p><p><span>The Statistics: Analysis and Inference course includes all of the most recent information to keep you abreast of the employment market and prepare you for your future. The curriculum for this excellent Statistics: Analysis and Inference course includes modules at all skill levels, from beginner to expert. You will have the productivity necessary to succeed in your organisation once you have completed our Statistics: Analysis and Inference Program.</span></p><p><span>So enrol in our Statistics: Analysis and Inference course right away if you're keen to envision yourself in a rewarding career.</span></p>						</div>
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							<p><span>Enroling in this Statistics: Analysis and Inference course can improve your Statistics: Analysis and Inference perspective, regardless of your skill levels in the Statistics: Analysis and Inference topics you want to master. If you're already a Statistics: Analysis and Inference expert, this peek under the hood will provide you with suggestions for accelerating your learning, including advanced Statistics: Analysis and Inference insights that will help you make the most of your time. This Statistics: Analysis and Inference course will act as a guide for you if you've ever wished to excel at Statistics: Analysis and Inference.</span></p>						</div>
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							<p>Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99.</p>						</div>
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							<p><span>This Statistics: Analysis and Inference course is a great place to start if you're looking to start a new career in Statistics: Analysis and Inference field. This training is for anyone interested in gaining in-demand Statistics: Analysis and Inference proficiency to help launch a career or their business aptitude. </span></p>						</div>
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							<p><span>The Statistics: Analysis and Inference course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Statistics: Analysis and Inference, without any fuss.</span></p>						</div>
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							<p><span>This Statistics: Analysis and Inference training will assist you develop your Statistics: Analysis and Inference ability, establish a personal brand, and present a portfolio of relevant talents. It will help you articulate a  Statistics: Analysis and Inference professional story and personalise your path to a new career. Furthermore, developing this Statistics: Analysis and Inference skillset can lead to numerous opportunities for high-paying jobs in a variety of fields.</span></p>						</div>
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			<h4>Order Your Certificate</h4>		</div>
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							<div><div><div><div id="1693981461.590199"><div><div><div><div><div><div><div><div><div><div><div>To order CPD Quality Standard Certificate, we kindly invite you to visit the following link:</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>						</div>
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					<td colspan="4">Module 01: The Realm of Statistics</td>
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					<td>The Realm Of Statistics</td>
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					<td><span><i></i> 00:28:00</span></td>
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					<td colspan="4">Module 02: Basic Statistical Terms</td>
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					<td><span><i></i> 00:15:00</span></td>
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					<td><span><i></i> 00:11:00</span></td>
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					<td><span><i></i> 00:43:00</span></td>
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Statistics: Analysis and Inference Course

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>The audience for this course is data professionals managing data and databases who want to learn about administering the data platform technologies that are available on Microsoft Azure. This course is also valuable for data architects and application developers who need to understand what technologies are available for the data platform with Azure and how to work with those technologies through applications.</p><p></p><p></p><p>This course provides students with the knowledge and skills to administer a SQL Server database infrastructure for cloud, on-premises and hybrid relational databases and who work with the Microsoft PaaS relational database offerings. Additionally, it will be of use to individuals who develop applications that deliver content from SQL-based relational databases.</p><p></p>Prerequisites<p>In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:   </p><li>AZ-900T00 Microsoft Azure Fundamentals  </li><li>DP-900T00 Microsoft Azure Data Fundamentals<p></p></li></div><div id="course-pills-2"><h3>1 - Prepare to maintain SQL databases on Azure</h3> <ul> <li>Describe Microsoft Intelligent Data Platform roles</li> <li>Understand SQL Server in an Azure virtual machine</li> <li>Design Azure SQL Database for cloud-native applications</li> <li>Explore Azure SQL Database Managed Instance</li> </ul> <h3>2 - Deploy IaaS solutions with Azure SQL</h3> <ul> <li>Explain IaaS options to deploy SQL Server in Azure</li> <li>Understand hybrid scenarios</li> <li>Explore performance and security</li> <li>Explain high availability and disaster recovery options</li> </ul> <h3>3 - Deploy PaaS solutions with Azure SQL</h3> <ul> <li>Explain PaaS options for deploying SQL Server in Azure</li> <li>Explore single SQL database</li> <li>Deploy SQL database elastic pool</li> <li>Understand SQL database hyperscale</li> <li>Examine SQL managed instance</li> <li>Describe SQL Edge</li> </ul> <h3>4 - Evaluate strategies for migrating to Azure SQL</h3> <ul> <li>Understand compatibility level</li> <li>Understand Azure preview features</li> <li>Describe Azure database migration options</li> </ul> <h3>5 - Migrate SQL workloads to Azure SQL databases</h3> <ul> <li>Choose the right SQL Server Instance option in Azure</li> <li>Migrate SQL Server to Azure SQL Database offline</li> <li>Migrate SQL Server to Azure SQL Database online</li> <li>Load and move data to Azure SQL Database</li> </ul> <h3>6 - Migrate SQL workloads to Azure Managed Instances</h3> <ul> <li>Evaluate migration scenarios to SQL Database Managed Instance</li> <li>Migrate to SQL Database Managed Instance</li> <li>Load and Move data to SQL Database Managed Instance</li> </ul> <h3>7 - Configure database authentication and authorization</h3> <ul> <li>Describe Active Directory and Azure Active Directory</li> <li>Describe authentication and identities</li> <li>Describe Security Principals</li> <li>Describe database and object permissions</li> <li>Identify authentication and authorization failures</li> </ul> <h3>8 - Protect data in-transit and at rest</h3> <ul> <li>Explore Transparent Data Encryption</li> <li>Configure server and database firewall rules</li> <li>Explain object encryption and secure enclaves</li> <li>Enable encrypted connections</li> <li>Describe SQL injection</li> <li>Understand Azure Key Vault</li> </ul> <h3>9 - Implement compliance controls for sensitive data</h3> <ul> <li>Explore data classification</li> <li>Explore server and database audit</li> <li>Implement Dynamic Data Masking</li> <li>Implement Row Level security</li> <li>Understand Microsoft Defender for SQL</li> <li>Explore Azure SQL Database Ledger</li> <li>Implement Azure Purview</li> </ul> <h3>10 - Describe performance monitoring</h3> <ul> <li>Describe performance monitoring tools</li> <li>Describe critical performance metrics</li> <li>Establish baseline metrics</li> <li>Explore extended events</li> <li>Describe Azure SQL Insights</li> <li>Explore Query Performance Insight</li> </ul> <h3>11 - Configure SQL Server resources for optimal performance</h3> <ul> <li>Explain how to optimize Azure storage for SQL Server virtual machines</li> <li>Describe virtual machine resizing</li> <li>Optimize database storage</li> <li>Control SQL Server resources</li> </ul> <h3>12 - Configure databases for optimal performance</h3> <ul> <li>Explore database maintenance checks</li> <li>Describe database scoped configuration options</li> <li>Describe automatic tuning</li> <li>Describe intelligent query processing</li> </ul> <h3>13 - Explore query performance optimization</h3> <ul> <li>Understand query plans</li> <li>Explain estimated and actual query plans</li> <li>Describe dynamic management views and functions</li> <li>Explore Query Store</li> <li>Identify problematic query plans</li> <li>Describe blocking and locking</li> </ul> <h3>14 - Evaluate performance improvements</h3> <ul> <li>Describe wait statistics</li> <li>Tune and maintain indexes</li> <li>Understand query hints</li> </ul> <h3>15 - Explore performance-based design</h3> <ul> <li>Describe normalization</li> <li>Choose appropriate data types</li> <li>Design indexes</li> </ul> <h3>16 - Automate deployment of database resources</h3> <ul> <li>Describe deployment models in Azure</li> <li>Automate deployment by using Azure Resource Manager templates and Bicep</li> <li>Automate deployment by using PowerShell</li> <li>Automate deployment by using Azure CLI</li> </ul> <h3>17 - Create and manage SQL Agent jobs</h3> <ul> <li>Create a SQL Server maintenance plan</li> <li>Describe task status notifications</li> </ul> <h3>18 - Manage Azure PaaS tasks using automation</h3> <ul> <li>Explore Elastic jobs</li> <li>Understand Azure Automation</li> <li>Build an automation runbook</li> <li>Automate database workflows by using Logic Apps</li> <li>Monitor automated tasks</li> </ul> <h3>19 - Describe high availability and disaster recovery strategies</h3> <ul> <li>Describe recovery time objective and recovery point objective</li> <li>Explore high availability and disaster recovery options</li> <li>Describe Azure high availability and disaster recovery  features for Azure Virtual Machines</li> <li>Describe high availability and disaster recovery options for PaaS deployments</li> <li>Explore an IaaS high availability and disaster recovery solution</li> <li>Describe hybrid solutions</li> </ul> <h3>20 - Explore IaaS and PaaS solutions for high availability and disaster recovery</h3> <ul> <li>Describe failover clusters in Windows Server</li> <li>Configure Always-on availability groups</li> <li>Describe temporal tables in Azure SQL Database</li> <li>Describe active geo-replication for Azure SQL Database</li> <li>Explore auto-failover groups for Azure SQL Database and Azure SQL Managed Instance</li> </ul> <h3>21 - Back up and restore databases</h3> <ul> <li>Back up and restore SQL Server running on Azure virtual machines</li> <li>Back up a SQL Server virtual machine</li> <li>Back up and restore a database using Azure SQL Database</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans DP-300T00: Administering Microsoft Azure SQL Solutions training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the DP-300T00: Administering Microsoft Azure SQL Solutions course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Nexus Human

Azure SQL Database

Microsoft AZ-900

Microsoft AZ-104

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

DP-300T00 Administering Microsoft Azure SQL Solutions

<p>Whether you're an avid enthusiastor interested in pursuing a career in IT<strong>, </strong>this <strong>Statistics Analyst - CPD Accredited </strong>course will facilitate your learning and development to ensure you're job-ready and can handle any challenges thrown your way.</p><p>Studying online doesn't mean you will miss out on the classroom's learning environment. On the contrary, our online courses are designed to give our learners the best possible learning experience. Our <strong>Statistics Analyst - CPD Accredited</strong> course is a solid addition to that. This interactive audio-visual/video course will give you the precise knowledge and skills and help you excel in <strong>Data Analyst</strong> profession.</p><p><strong>Learning Outcomes: </strong></p><p>It's your chance to start with our<strong>IT</strong>course and give your resume the stamp of approval that employers are looking for. So, pick up your card now and fill up your virtual basket with this highly-rated <strong>Statistics Analyst - CPD Accredited</strong> online training program from Training Express</p><p><strong>Still not convinced? Take a glimpse of the key benefits you'll get with -</strong></p><ul><li>Lessons prepared in collaboration with Professionals</li><li>User-friendly Learner Management System (LMS)</li><li>Syllabus designed in line with the standards of the UK Education System</li><li>Updated Study Materials focusing both on Knowledge and Skill based training</li><li>Guidance to expand in 'a' territory and move forward with Data Analyst profession</li><li>Free Assessment to test learners' knowledge and skills</li></ul><p>Â· Accredited learning and widely recognised certificate from reputed CPD Accreditation Bodies</p><p><strong>Course Curriculum:</strong></p><ul><li>Module 01: Introduction to Statistics</li><li>Module 02: Measuring Central Tendency</li><li>Module 03: Measures of Dispersion</li><li>Module 04: Correlation and Regression Analysis</li><li>Module 05: Probability</li><li>Module 06: Sampling</li><li>Module 07: Charts and Graphs</li><li>Module 08: Hypothesis Testing</li><li>Module 09: Business Processes</li><li>Module 10: Business Analysis Planning and Monitoring</li><li>Module 11: Strategic Analysis and Product Scope</li><li>Module 12: Ratio Analysis</li><li>Module 13: Planning &amp; Forecasting Operations</li><li>Module 14: Ten Common Statistical Mistakes</li></ul><p><strong>Course Assessment</strong></p><p>You will immediately be given access to a specifically crafted MCQ test upon completing the <strong>Statistics Analyst - CPD Accredited </strong>course. For each test, the pass mark will be set to 60%.</p><p><strong>Accredited Certificate</strong></p><p>After successfully completing this <strong>Statistics Analyst - CPD Accredited</strong> course, you will qualify for the CPD Certification Service (CPD UK) certified certificate from Training Express.</p><p><strong>Disclaimer</strong>: The CPD approved course is owned by E-Learning Solutions Ltd and is distributed under license.</p><p><strong>Why Choose The CPD Certification Service Accredited Course?</strong></p><p>With 25 years of experience in the Continuous Professional Development sector, CPD Certification Service (CPD UK) is the leading CPD accreditation organisation in the UK, working across all industry sectors. The CPD Certification Service provides recognised independent CPD accreditation compatible with global CPD requirements.</p><p>Hundreds and thousands of professionals recognise the CPD Certified symbol as the qualitative benchmark that reflects and sets the industry standards. CPD UK evaluates learning activities to the highest standards and courses are certified against the universally accepted structured checklist.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        10 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>The <strong>Statistics Analyst - CPD Accredited</strong> training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no formal entry requirements for the course, with enrollment open to anyone!</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Learn the essential skills and knowledge you need to excel in your professional life with the help &amp; guidance from our <strong>Statistics Analyst - CPD Accredited</strong> training.</p>
                        </div>

Statistics Analyst - CPD Accredited Course

<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;"><span style="color: rgb(44, 130, 201); box-sizing: border-box;" fr-original-style="color: rgb(44, 130, 201);">Mental Health First Aid Refresher 4-hour training sessions</span></strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Can you remember ALGEE?&nbsp;</strong>Mental Health Action Plan.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Empower Mental Health First Aiders and Champions to maintain their skills with regular Refresher training. Just like physical first aid, we recommend that you refresh your skills every two to three years. (Certificate expires after 3 years). &nbsp;If it&#39;s time to update your skills, book onto an MHFA Refresher course now and feel confident that you are performing your vital role safely.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(44, 130, 201); box-sizing: border-box;" fr-original-style="color: rgb(44, 130, 201);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Revisit the key areas from the full course. Keep up to date with the latest statistics and information.</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">If you are a Mental Health First Aider or MHFA Champion you have skills for life that support you and the people around you. &nbsp;Mental Health First Aid training can be kept up to date through this four hour MHFA Refresher course, which will empower you to: &nbsp;Update your knowledge of mental health and what influences it Update your awareness of current mental health supports available Practise applying the Mental Health First Aid Action Plan. Learning takes place through a mix of presentations, group discussions and workshop activities. We limit numbers to 20 people per course so that the instructor can keep people safe and supported, to get the most from their learning experience with us.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is for those that have completed the MHFA England Mental Health First Aid or Champion course.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><u fr-original-style="" style="box-sizing: border-box;"><a href="https://www.mindmapswellbeing.com/faq-s/" target="_blank" rel="noopener noreferrer" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;"><span style="color: rgb(44, 130, 201); box-sizing: border-box;" fr-original-style="color: rgb(44, 130, 201);">FAQs</span></a></u></p>

Mental Health First Aid Refresher 4-hour training sessions
Can you remember ALGEE? Mental Health Action Plan.
Empower Mental Health First Aiders and Champions to maintain their skills with regular Refresher training. Just like physical first aid, we recommend that you refresh your skills every two to three years. (Certificate expires after 3 years). If it's time to update your skills, book onto an MHFA Refresher course now and feel confident that you are performing your vital role safely.
Revisit the key areas from the full course. Keep up to date with the latest statistics and information.
If you are a Mental Health First Aider or MHFA Champion you have skills for life that support you and the people around you. Mental Health First Aid training can be kept up to date through this four hour MHFA Refresher course, which will empower you to: Update your knowledge of mental health and what influences it Update your awareness of current mental health supports available Practise applying the Mental Health First Aid Action Plan. Learning takes place through a mix of presentations, group discussions and workshop activities. We limit numbers to 20 people per course so that the instructor can keep people safe and supported, to get the most from their learning experience with us.
This course is for those that have completed the MHFA England Mental Health First Aid or Champion course. 
FAQs

Mindmaps Wellbeing

Mental Health Awareness

Mental Health First Aid

Approved Training Organisation (ATO)

Health & Wellbeing

Occupational Health & Wellbeing

Mental Health

Accredited Mental Health First Aid

Wellbeing

Mental Resilience

Mental Health At Work

Mental Health Nurse

Empower Mental Health First Aiders and Champions to maintain their skills with regular Refresher training. Just like physical first aid, we recommend that you refresh your skills every two to three years. (Certificate expires after 3 years).  If it's time to update your skills, book onto an MHFA Refresher course now and feel confident that you are performing your vital role safely.

MHFA England Refresher 

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

Microsoft Certification

Microsoft SC-200

SC-200T00 Microsoft Security Operations Analyst

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					<div><p><span>Join our Statistics 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 Statistics 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 Statistics 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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					<div><p><span>This course covers everything you must know to stand against the tough competition. The future is truly yours to seize with this Statistics. Enrol today and complete the course to achieve a certificate that can change your career forever.</span></p></div>
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					<div><p><span>This course covers everything you must know to stand against the tough competition. The future is truly yours to seize with this Statistics. Enrol today and complete the course to achieve a certificate that can change your career forever.</span></p></div>
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					<div><p>After studying the course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate.</p></div>
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					<div><p><span>After completing the </span><b>Statistics 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>
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					<div><p><span>This Statistics 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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			<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 Statistics 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>Statistics 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>

Overview
Join our Statistics 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 Statistics course has everything you need to get a great start in this sector.
Improving and moving forward is key to getting ahead personally. The Statistics 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 everything you must know to stand against the tough competition. The future is truly yours to seize with this Statistics. 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
This course covers everything you must know to stand against the tough competition. The future is truly yours to seize with this Statistics. Enrol today and complete the course to achieve a certificate that can change your career forever.
Process of Evaluation
After studying the course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate.
Certificate of Achievement
After completing the Statistics 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 Statistics 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 Statistics 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 Statistics 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

Module 01: Introduction to Statistics			
	Introduction to Statistics		00:18:00
Module 02: Measuring Central Tendency			
	Measuring Central Tendency		00:18:00
Module 03: Measures of Dispersion			
	Measures of Dispersion		00:11:00
Module 04: Correlation and Regression Analysis			
	Correlation and Regression Analysis		00:35:00
Module 05: Probability			
	Probability		00:16:00
Module 06: Sampling			
	Sampling		00:19:00
Module 07: Charts and Graphs			
	Charts and Graphs		00:21:00
Module 08: Hypothesis Testing			
	Hypothesis Testing		00:25:00
Module 09: Ten Common Statistical Mistakes			
	Ten Common Statistical Mistakes		00:30:00
Assignment			
	Assignment - Statistics		00:00:00

IOMH - Institute of Mental Health

Statistics

Maths

Teacher

Professional Development

<p>Did you know that the demand for statisticians in the UK is projected to increase by 34% by 2026? In fact, statistics is one of the fastest-growing fields in the country, with an estimated 58,000 new jobs expected to be created in the next decade. This makes it a great time to invest in your future by enrolling in the Statistics QLS Level 3 &amp; 4 course.</p> <p>Through this course, you will gain a comprehensive understanding of statistical concepts and methods, including probability theory, regression analysis, hypothesis testing, and more. With a curriculum that spans from basic to higher knowledge, the course is designed to meet the needs of learners at all levels, from beginners to advanced users.</p> <p>The Statistics QLS Level 3 &amp; 4 course is endorsed by Quality Licence Scheme, which means that you can be assured of the highest quality of education and training. Upon completion of the course, you will receive a Level 4 Endorsed Certificate hardcopy free of charge, which can greatly enhance your career prospects in fields such as finance, healthcare, marketing, and more.</p> <p>In addition to the Level 4 Endorsed Certificate, learners who enrol in the Statistics QLS Level 3 &amp; 4 course will receive <strong>5 career-guided courses free</strong> with the QLS course, including career development plan fundamentals, networking skills for personal success, boost your confidence and self-esteem, CV writing and job searching, and learn to reduce and manage stress.</p> <p>So why wait? Take the first step towards a brighter future and enrol in the Statistics QLS Level 3 &amp; 4 course today. Whether you're looking to enhance your career prospects or simply want to gain a deeper understanding of statistics, this course has everything you need to succeed.</p> <p><strong>Learning Outcomes:</strong></p> <ul> <li>Develop an understanding of the fundamental principles of statistics, including the measurement of central tendency and dispersion.</li><li>Gain knowledge of correlation and regression analysis, including how to interpret statistical relationships between variables.</li><li>Understand probability and its application in statistical analysis.</li><li>Learn about sampling methods and their use in statistical analysis.</li><li>Develop the ability to create and interpret charts and graphs for data analysis.</li><li>Gain knowledge of hypothesis testing and how to apply statistical tests to analyse data.</li><li>Identify and avoid common statistical mistakes in data analysis.</li></ul><p><strong>Diploma in Statistics - QLS Level 3 &amp; 4's Description:</strong></p> <p><strong>Level 3</strong> curriculum provides an introduction to statistics, covering the fundamental principles of measurement of central tendency, dispersion, correlation, and regression analysis. Students will learn how to apply statistical analysis to a range of data sets. They will also gain knowledge of how to create meaningful conclusions and interpretations from statistical data.</p> <p><strong>Level 4</strong> curriculum covers more advanced statistical methods, including probability theory, sampling methods, charts and graphs, and hypothesis testing. Students will learn how to apply these methods to real-world scenarios and develop their skills in data analysis. They will also gain knowledge of common statistical mistakes and how to avoid them.</p> <p>This course is designed for individuals who are interested in pursuing a career in data analysis or research. It is suitable for individuals who are looking to gain knowledge of the fundamental principles of statistics or who want to expand their knowledge in statistical methods.</p> <p><strong>This bundle comprises the following courses:</strong></p> <p><strong>QLS Endorsed Course:</strong></p> <ul> <li><strong>Course 01: </strong>Diploma in Statistics at QLS Level 4</li></ul> <p><strong>CPD QS Accredited Courses:</strong></p> <ul> <li><strong>Course 01:</strong> Career Development Plan Fundamentals</li><li><strong>Course 02:</strong> Networking Skills for Personal Success</li><li><strong>Course 03:</strong> Boost Your Confidence and Self-Esteem</li><li><strong>Course 04:</strong> CV Writing and Job Searching</li><li><strong>Course 05:</strong> Learn to Reduce and Manage Stress</li></ul> <p><strong>Certificate</strong></p> <p>In pursuing this QLS-endorsed course, learners attain a profound understanding and amplify their professional prowess, enriching their curriculum vitae.</p> <p>The Quality Licence Scheme stands as a reputable and distinguished endorsement, emblematic of exceptional standards and excellence throughout the UK.</p> <p>Upon completion, learners will receive an Diploma in Statistics at QLS Level 4 Endorsed hard copy certificate, making it easy for them to showcase their achievements.</p><h2>
        
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    </h2>

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                                        15 CPD hours / points
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                                            Accredited by CPD Quality Standards
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    </h2>

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                             <ul> <li>Individuals interested in pursuing a career in data analysis or research.</li><li>Those looking to gain knowledge of the fundamental principles of statistics.</li><li>People who want to enhance their existing skills in statistical analysis.</li><li>Individuals who want to learn how to apply statistical analysis to real-world scenarios.</li><li>Those looking to expand their knowledge in statistical methods.</li></ul> 
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        <div>Career path</div>
    </h2>

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                             <ul> <li>Data Analyst - £25,000 to £50,000 per year</li><li>Research Analyst - £20,000 to £45,000 per year</li><li>Statistician - £30,000 to £60,000 per year</li><li>Business Intelligence Analyst - £25,000 to £55,000 per year</li><li>Market Research Analyst - £20,000 to £45,000 per year</li><li>Financial Analyst - £25,000 to £60,000 per year.</li></ul> 
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Imperial Academy

Level 4 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited

Statistics - QLS Level 3 & 4

<h2 id="isPasted" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);">About this event</h2><div style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><h3 style="color: rgb(30, 10, 60); box-sizing: border-box;" fr-original-style=" color: rgb(30, 10, 60);">COURSE INTRODUCTION</h3><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">This course covers Tuberculosis, latent and active, diagnosis, screening and testing, groups offered vaccine, symptoms and treatment; within the current regulatory and legal framework. We discuss Mantoux, BCG techniques, IGRA testing, Scar identification and current issues. The course is hands-on and practical and each participant receives a certificate after successfully completing the course.</p><h3 style="color: rgb(30, 10, 60); box-sizing: border-box;" fr-original-style=" color: rgb(30, 10, 60);">AIMS AND OBJECTIVES</h3><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Be able to provide accurate and up to date information about BCG and TB vaccines</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Update staff on current issues</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Provide a safe, effective and high standard of care</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><br fr-original-style="" style="box-sizing: border-box;"></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">COURSE CONTENTS</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; The aims of TB immunisation: national policy and schedules</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; History of TB</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; How common is TB</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Epidemiology and current statistics</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Screening and testing</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Latent TB infection</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Active TB disease</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Signs and symptoms of TB</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Diagnosis</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; IGRA Testing</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Treatment</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Management</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; TB Vaccination</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Practical workshop</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Technique-intradermal</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; BCG Technique</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Mantoux / Technique</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Scar identification</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; The legal aspects of vaccination</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Prescribing vaccines</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Storage and handling of vaccines - cold chain</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Correct administration of vaccines</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Record-keeping and reporting</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Competence Assessment</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">Ref: National Minimum Standards for Immunisation Training, PHE and RCN, Immunisation for Infectious Diseases</p><h3 style="color: rgb(30, 10, 60); box-sizing: border-box;" fr-original-style=" color: rgb(30, 10, 60);">WHO SHOULD ATTEND?</h3><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Nurses - Primary Care, Secondary Care</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Occupational Health Staff</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Doctors - Occupational Health</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Military Staff</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Midwives</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; Neonatal Nurses</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">&bull; School Nurses</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">Includes All course materials and certificate of attendance</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">AB Health Group awards CPD points / certificate of attendance for each course. &nbsp;If you would prefer an accredited certificate by our accrediting body Aim Qualifications we can organise this. &nbsp;The charge for the certificate including postage is &pound;30.00.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><br fr-original-style="" style="box-sizing: border-box;"></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">Annie Barr AB Health Group</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">Organiser Description</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">Annie Barr is a leading provider of high quality, accredited healthcare training. With a selection of engaging healthcare training that has been developed by experts to equip you and your workforce with the skills, knowledge and competence needed to provide compassionate and high quality care.</p></div>

About this event
COURSE INTRODUCTION
This course covers Tuberculosis, latent and active, diagnosis, screening and testing, groups offered vaccine, symptoms and treatment; within the current regulatory and legal framework. We discuss Mantoux, BCG techniques, IGRA testing, Scar identification and current issues. The course is hands-on and practical and each participant receives a certificate after successfully completing the course.
AIMS AND OBJECTIVES
• Be able to provide accurate and up to date information about BCG and TB vaccines
• Update staff on current issues
• Provide a safe, effective and high standard of care


COURSE CONTENTS
• The aims of TB immunisation: national policy and schedules
• History of TB
• How common is TB
• Epidemiology and current statistics
• Screening and testing
• Latent TB infection
• Active TB disease
• Signs and symptoms of TB
• Diagnosis
• IGRA Testing
• Treatment
• Management
• TB Vaccination
• Practical workshop
• Technique-intradermal
• BCG Technique
• Mantoux / Technique
• Scar identification
• The legal aspects of vaccination
• Prescribing vaccines
• Storage and handling of vaccines - cold chain
• Correct administration of vaccines
• Record-keeping and reporting
• Competence Assessment
Ref: National Minimum Standards for Immunisation Training, PHE and RCN, Immunisation for Infectious Diseases
WHO SHOULD ATTEND?
• Nurses - Primary Care, Secondary Care
• Occupational Health Staff
• Doctors - Occupational Health
• Military Staff
• Midwives
• Neonatal Nurses
• School Nurses
Includes All course materials and certificate of attendance
AB Health Group awards CPD points / certificate of attendance for each course. If you would prefer an accredited certificate by our accrediting body Aim Qualifications we can organise this. The charge for the certificate including postage is £30.00.


Annie Barr AB Health Group
Organiser Description
Annie Barr is a leading provider of high quality, accredited healthcare training. With a selection of engaging healthcare training that has been developed by experts to equip you and your workforce with the skills, knowledge and competence needed to provide compassionate and high quality care.

AB Health Group

General Health

Medical Training

Public Health

BCG/Mantoux and TB - Webinar

TB / BCG Training WEBINAR

<strong>This course covers the fundamental topics of statistical methodology, linear regression, and ordinary least squares that every statistician needs to know.</strong>
        <p>To work with statistics and quantitative reports, you need to have a good understanding of the fundamentals and techniques of statistics. However, learning and applying new statistical techniques can often be a daunting experience and this is where this video course comes in handy. This course is designed to guide you through the basic principles of statistical methodology in a step-by-step way.
You'll start with an introduction to the course along with an overview of the learning objectives. Next, you'll explore the types of regression analysis that exist, and find out how ordinary least squares (OLS) work. To get a deeper understanding of linear regression and OLS, you'll interpret and analyze complicated regression output from OLS. Finally, you'll discover essential tips and techniques that'll help you to confidently perform regression analysis.
By the end of this video, you'll be well-versed with linear regression techniques and the basic principles of statistical methodology.
The code and resources for this course is available at https://github.com/PacktPublishing/Easy-Statistics-Linear-Regression</p>
        <h2>What You Will Learn</h2><p>Understand the basic concept of statistical regression analysis<br>Become familiar with linear regression terminologies<br>Distinguish between different kinds of regression methods<br>Find out the difference between correlation and causation<br>Analyze and integrate complicated regression output from OLS<br>Explore tips and tricks relating to regression analysis</p>
        <h2>Audience</h2><p>If you are a student at any level, an experienced professional, a manager, or a government worker who wants to delve into statistical regression or work with quantitative reports and policy analysis, then this course is for you. As the course is for beginners, it doesn't require you to have any knowledge of mathematics or statistics.</p>
        <h2>Approach</h2><p>With the help of animated graphics and interesting examples, this course will teach you the fundamentals of statistical regression terminologies.</p>
        <h2>Key Features</h2><p>Explore the basic statistical fundamentals of ordinary least squares (OLS) * Understand linear regression and its application * Gain the confidence to interpret complicated regression output</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Easy-Statistics-Linear-Regression</p>
        <h2>About the Author</h2><h3>Franz Buscha</h3><p>Franz Buscha is a professor of economics at the University of Westminster, which he joined after completing his Ph.D. in economics at Lancaster University. He has been involved in numerous funded research projects from research councils and government departments. He has also contributed to a wide range of projects, including policy evaluation and bespoke econometric advice to UK government departments. Franz has published in leading journals and contributed to numerous policy reports. His research has even been covered by various media outlets. He is an experienced online educator and has published several online courses, including LinkedIn Learning. Franz also has a monthly radio program called Policy Matters on Share Radio.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. What is Regression?</h4><p></p><br><h4>3. What is Ordinary Least Squares?</h4><p></p><br><h4>4. Ordinary Least Squares Regression in Practice</h4><p></p><br><h4>5. Tips and Final Thoughts </h4><p></p>

Packt

Stata

This course covers the fundamental topics of statistical methodology, linear regression, and ordinary least squares that every statistician needs to know.

Easy Statistics: Linear Regression

<strong>This course covers the fundamental topics of statistical methodology, enabling you to understand the application and interpretation of linear and non-linear regression modeling.</strong>
        <p>Working with statistics and quantitative reports requires a good understanding of statistics fundamentals and techniques. However, learning and applying new statistical techniques can often be a daunting experience. This is where this course comes into play.
To make your experience with statistics a pleasant one, this course gives you comprehensive knowledge of basic principles of the statistical methodology, focusing on linear regression and non-linear regression.
The course starts with an introduction to easy statistics and gives you an overview of the course objectives. Next, you will explore the types of regression analysis that exist and find out how ordinary least squares (OLS) works. To gain a deeper understanding of linear regression and OLS, you will learn to interpret and analyze complicated regression output from OLS. You will also focus on Gauss-Markov assumptions and zero conditional mean. Moving ahead, you will cover non-linear regression, exploring how it works, what the different non-linear regression models are, and the major uses. Towards the end, you will learn to work around with regression modeling with the help of practical examples.
By the end of this video, you will be well-versed with linear and non-linear regression and the basic principles of the statistical methodology.

All the resource files are added on GitHub at https://github.com/PacktPublishing/-Easy-Statistics-Linear-and-Non-Linear-Regression</p>
        <h2>What You Will Learn</h2><p>Understand the basic concept of statistical regression analysis<br>Become familiar with linear and non-linear regression terminologies<br>Distinguish between different types of regression methods<br>Analyze and integrate complicated regression output from ordinary least squares (OLS)<br>Find out the difference between logit and probit transformation<br>Model non-linear relationships in a linear regression</p>
        <h2>Audience</h2><p>If you're a student, an experienced professional, a manager, or a government worker who wants to learn linear and non-linear regression, regression modeling, and ordinary least squares, then this course is for you. This is a beginner-level course and does not require any prior knowledge of mathematics or statistics.</p>
        <h2>Approach</h2><p>With the help of eye-catching animated graphics and interesting examples, this course will teach you linear and non-linear regression and regression modeling to ensure that you become well-versed with the fundamentals of statistics and quantitative analysis.</p>
        <h2>Key Features</h2><p>Understand the statistical fundamentals of ordinary least squares (OLS) * Gain the confidence to comfortably interpret complicated regression output from OLS * Explore regression modeling and its application</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/-Easy-Statistics-Linear-and-Non-Linear-Regression</p>
        <h2>About the Author</h2><h3>Franz Buscha</h3><p>Franz Buscha is a professor of economics at the University of Westminster, which he joined after completing his Ph.D. in economics at Lancaster University. He has been involved in numerous funded research projects from research councils and government departments. He has also contributed to a wide range of projects, including policy evaluation and bespoke econometric advice to UK government departments. Franz has published in leading journals and contributed to numerous policy reports. His research has even been covered by various media outlets. He is an experienced online educator and has published several online courses, including LinkedIn Learning. Franz also has a monthly radio program called Policy Matters on Share Radio.</p>
        <h2>Course Outline</h2><h4>1. Linear Regression</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What is Easy Statistics: Linear Regression?</p><p style='margin: 0'>This video explains the concept of easy statistics with linear regression.</p></td></tr><tr><td style='padding: 15px;'><p>2. What is Linear Regression?</p><p style='margin: 0'>This video explains the concept of linear regression.</p></td></tr><tr><td style='padding: 15px;'><p>3. Learning Outcomes</p><p style='margin: 0'>This video explains the various learning outcomes.</p></td></tr><tr><td style='padding: 15px;'><p>4. Whom is this Course for?</p><p style='margin: 0'>This video discusses the target audience for this course.</p></td></tr><tr><td style='padding: 15px;'><p>5. Prerequisites</p><p style='margin: 0'>This video explains the various prerequisites of the course.</p></td></tr><tr><td style='padding: 15px;'><p>6. Using Stata</p><p style='margin: 0'>This video shows how to use Stata for linear regression.</p></td></tr><tr><td style='padding: 15px;'><p>7. What is Regression Analysis?</p><p style='margin: 0'>This video explains the concept of regression analysis.</p></td></tr><tr><td style='padding: 15px;'><p>8. Get to Know About Linear Regression</p><p style='margin: 0'>This video explains the concept of linear regression in detail.</p></td></tr><tr><td style='padding: 15px;'><p>9. Why is Regression Analysis Useful?</p><p style='margin: 0'>This video explains the importance and uses of regression analysis.</p></td></tr><tr><td style='padding: 15px;'><p>10. What Types of Regression Analysis Exist?</p><p style='margin: 0'>This video explains the various types of regression analysis.</p></td></tr><tr><td style='padding: 15px;'><p>11. Explaining Regression</p><p style='margin: 0'>This video explains the concept of regression.</p></td></tr><tr><td style='padding: 15px;'><p>12. Lines of Best Fit</p><p style='margin: 0'>This video explains the lines of best fit concept.</p></td></tr><tr><td style='padding: 15px;'><p>13. Causality vs. Correlation</p><p style='margin: 0'>This video illustrates the difference between causality and correlation.</p></td></tr><tr><td style='padding: 15px;'><p>14. What is Ordinary Least Squares (OLS)?</p><p style='margin: 0'>This video explains the concept of OLS.</p></td></tr><tr><td style='padding: 15px;'><p>15. Ordinary Least Squares (OLS) Visual - Part 1</p><p style='margin: 0'>This video is the first part of the two-part video that explains OLS visually.</p></td></tr><tr><td style='padding: 15px;'><p>16. Ordinary Least Squares (OLS) Visual - Part 2</p><p style='margin: 0'>This video is the second part of the two-part video that explains OLS visually.</p></td></tr><tr><td style='padding: 15px;'><p>17. Sum of Squares</p><p style='margin: 0'>This video explains how to calculate the sum of squares using linear regression.</p></td></tr><tr><td style='padding: 15px;'><p>18. Best Linear Unbiased Estimator</p><p style='margin: 0'>This video explains the best linear unbiased estimator.</p></td></tr><tr><td style='padding: 15px;'><p>19. The Gauss-Markov Assumptions</p><p style='margin: 0'>This video discusses the Gauss-Markov assumptions.</p></td></tr><tr><td style='padding: 15px;'><p>20. Homoskedasticity</p><p style='margin: 0'>This video explains the concept of homoskedasticity.</p></td></tr><tr><td style='padding: 15px;'><p>21. No Perfect Collinearity</p><p style='margin: 0'>This video explains the concept of no perfect collinearity.</p></td></tr><tr><td style='padding: 15px;'><p>22. Linear in Parameters</p><p style='margin: 0'>This video focuses on linearity in parameters.</p></td></tr><tr><td style='padding: 15px;'><p>23. Zero Conditional Mean</p><p style='margin: 0'>This video explains what is zero conditional mean.</p></td></tr><tr><td style='padding: 15px;'><p>24. How to Test and Correct for Endogeneity?</p><p style='margin: 0'>This video explains how to test and correct for endogeneity.</p></td></tr><tr><td style='padding: 15px;'><p>25. The Gauss-Markov Assumptions - Recap</p><p style='margin: 0'>This video presents a recap of the Gauss-Markov assumptions.</p></td></tr><tr><td style='padding: 15px;'><p>26. Stata - Applied Examples</p><p style='margin: 0'>This video explains with an example how to use Stata.</p></td></tr><tr><td style='padding: 15px;'><p>27. Final Thoughts and Tips</p><p style='margin: 0'>This video provides some final thoughts and tips with respect to linear regression.</p></td></tr></tbody></table><br><h4>2. Non-Linear Regression</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What is Easy Statistics: Non-Linear Regression?</p><p style='margin: 0'>This video explains the concept of easy statistics with non-linear regression.</p></td></tr><tr><td style='padding: 15px;'><p>2. What is Non-Linear Regression?</p><p style='margin: 0'>This video explains the concept of non-linear regression.</p></td></tr><tr><td style='padding: 15px;'><p>3. What are the Main Learning Outcomes?</p><p style='margin: 0'>This video presents the learning outcome of this course.</p></td></tr><tr><td style='padding: 15px;'><p>4. Whom is this Course for?</p><p style='margin: 0'>This video discusses the target audience for this course.</p></td></tr><tr><td style='padding: 15px;'><p>5. Prerequisites</p><p style='margin: 0'>This video discusses the various prerequisites for this course.</p></td></tr><tr><td style='padding: 15px;'><p>6. Using Stata</p><p style='margin: 0'>This video explains how to use Stata.</p></td></tr><tr><td style='padding: 15px;'><p>7. What is Non-Linear Regression Analysis?</p><p style='margin: 0'>This video explains the concept of non-linear regression analysis.</p></td></tr><tr><td style='padding: 15px;'><p>8. How does Non-Linear Regression Work?</p><p style='margin: 0'>This video explains the working of non-linear regression.</p></td></tr><tr><td style='padding: 15px;'><p>9. Why is Non-Linear Regression analysis Useful?</p><p style='margin: 0'>This video explains the importance and uses of non-linear regression analysis.</p></td></tr><tr><td style='padding: 15px;'><p>10. Types of Non-Linear Regression models</p><p style='margin: 0'>This video explains the various types of non-linear regression models.</p></td></tr><tr><td style='padding: 15px;'><p>11. Maximum Likelihood</p><p style='margin: 0'>This video explains the maximum likelihood estimation technique.</p></td></tr><tr><td style='padding: 15px;'><p>12. Linear Probability Model</p><p style='margin: 0'>This video explains the linear probability model.</p></td></tr><tr><td style='padding: 15px;'><p>13. The Logit and Probit Transformation</p><p style='margin: 0'>This video explains the logit and probit transformation model.</p></td></tr><tr><td style='padding: 15px;'><p>14. Latent Variables</p><p style='margin: 0'>This video focuses on latent variables.</p></td></tr><tr><td style='padding: 15px;'><p>15. What are Marginal Effects?</p><p style='margin: 0'>This video explains the concept of marginal effects.</p></td></tr><tr><td style='padding: 15px;'><p>16. Dummy Explanatory Variables</p><p style='margin: 0'>This video focuses on the dummy explanatory variables.</p></td></tr><tr><td style='padding: 15px;'><p>17. Multiple Non-Linear Regression</p><p style='margin: 0'>This video explains multiple non-linear regression.</p></td></tr><tr><td style='padding: 15px;'><p>18. Goodness-of-Fit</p><p style='margin: 0'>This video discusses the concept of goodness-of-fit.</p></td></tr><tr><td style='padding: 15px;'><p>19. A Note about Logit Coefficients</p><p style='margin: 0'>This video provides a note about logit coefficients.</p></td></tr><tr><td style='padding: 15px;'><p>20. Tips for Logit and Probit Regression</p><p style='margin: 0'>This video provides some tips for logit and probit regression.</p></td></tr><tr><td style='padding: 15px;'><p>21. Back to the Linear Probability Model</p><p style='margin: 0'>This video explains the linear probability model.</p></td></tr><tr><td style='padding: 15px;'><p>22. Stata - Applied Logit and Probit Examples</p><p style='margin: 0'>This video provides examples of applied logit and probit using Stata.</p></td></tr></tbody></table><br><h4>3. Regression Modelling</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video provides an introduction to regression modelling.</p></td></tr><tr><td style='padding: 15px;'><p>2. Regression Modelling - Don't Rush it</p><p style='margin: 0'>This video explains the concept of regression modelling in detail.</p></td></tr><tr><td style='padding: 15px;'><p>3. Non-Linear Shapes in Regression</p><p style='margin: 0'>This video explains the concept of non-linear shapes in regression.</p></td></tr><tr><td style='padding: 15px;'><p>4. Non-Linear Shapes in Regression - Practical Examples</p><p style='margin: 0'>This video explains the concept of non-linear shapes in regression with the help of examples.</p></td></tr><tr><td style='padding: 15px;'><p>5. How to use and Interpret Interaction Effects?</p><p style='margin: 0'>This video explains how to use and interpret interaction effects.</p></td></tr><tr><td style='padding: 15px;'><p>6. How to use and Interpret Interaction Effects? - Practical Examples</p><p style='margin: 0'>This video explains how to use and interpret interaction effects with the help of examples.</p></td></tr><tr><td style='padding: 15px;'><p>7. Using Time in Regression</p><p style='margin: 0'>This video explains how to use time in regression.</p></td></tr><tr><td style='padding: 15px;'><p>8. Using Time in Regression - Practical Examples</p><p style='margin: 0'>This video explains how to use time in regression with the help of examples.</p></td></tr><tr><td style='padding: 15px;'><p>9. Categorical Explanatory Variables in Regression</p><p style='margin: 0'>This video explains the categorical explanatory variables in regression.</p></td></tr><tr><td style='padding: 15px;'><p>10. Categorical Explanatory Variables in Regression - Practical Examples</p><p style='margin: 0'>This video explains the categorical explanatory variables in regression with the help of examples.</p></td></tr><tr><td style='padding: 15px;'><p>11. Dealing with Multicollinearity in Regression</p><p style='margin: 0'>This video explains how to deal with multicollinearity in regression.</p></td></tr><tr><td style='padding: 15px;'><p>12. Dealing with Multicollinearity in Regression - Practical Examples</p><p style='margin: 0'>This video explains how to deal with multicollinearity in regression with the help of examples.</p></td></tr><tr><td style='padding: 15px;'><p>13. Dealing with Missing Data in Regression</p><p style='margin: 0'>This video explains how to deal with missing data in regression.</p></td></tr><tr><td style='padding: 15px;'><p>14. Dealing with Missing Data in Regression - Practical Examples</p><p style='margin: 0'>This video explains how to deal with missing data in regression with the help of examples.</p></td></tr></tbody></table>

This course covers the fundamental topics of statistical methodology, enabling you to understand the application and interpretation of linear and non-linear regression modeling.

Easy Statistics: Linear and Non-Linear Regression

<strong>Master Data Science skills using Python and real time project and go from Beginner to Super Advance level</strong>
        <p>Want to become a good Data Scientist?  Then this is a right course for you.
This course was designed by IT professionals with a Master's in Mathematics and Data Science.  We cover complex theories, algorithms, and coding libraries in a very simple way so they can be easily grasped by any beginner.
We walk you step-by-step through the World of Data science. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science from beginner to advanced level.
All the codes and supporting files for this course are available at: https://github.com/PacktPublishing/Data-Statistics-with-Full-Stack-Python</p>
        <h2>What You Will Learn</h2><p>Master Data Science on Python<br>Learn to use Numpy and Pandas for Data Analysis<br>Learn all the math you need to understand Machine Learning algorithms<br>Real-world case studies<br>Learn to use Matplotlib for Python plotting<br>Learn to use Seaborn for statistical plots<br>Master end-to-end data science solutions<br>Learn all statistical concepts you need to become a Machine Learning ninja </p>
        <h2>Audience</h2><p>This course is for anyone who wants to become a Data Scientist.</p>
        <h2>Approach</h2><p>Exhaustive and packed with step-by-step instructions, working examples, and helpful advice, this course is divided into clear chunks so you can learn at your own pace and focus on your own area of interest.</p>
        <h2>Key Features</h2><p>Master complex theories, algorithms, and coding libraries in a very simple way * Master Data Science in Python</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/data-statistics-with-full-stack-python</p>
        <h2>About the Author</h2><h3>Geekshub Pvt. Ltd. </h3><p>Geekshub is an online education company in the field of big data and analytics. Their aim as a team is to provide the best skill-set to their customers to make them job-ready and prepare them to crack any challenge. They have the best trainers for cutting-edge technologies such as machine learning, deep learning, Natural Language Processing (NLP), reinforcement learning, and data science. Their instructors are people who graduated from IIT, MIT and Standford. They are passionate about teaching the topics using curated real-world case studies that calibrate the learning experience of students.</p>
        <h2>Course Outline</h2><h4>1. Python Fundamentals</h4><p></p><br><h4>2. Numpy</h4><p></p><br><h4>3. Pandas</h4><p></p><br><h4>4. Some Fun With Maths</h4><p></p><br><h4>5. Inferential Statistics</h4><p></p><br><h4>6. Hypothesis Testing</h4><p></p><br><h4>7. Data Visualization</h4><p></p><br><h4>8. Exploratory Data Analysis</h4><p></p><br><h4>9. Simple Linear Regression</h4><p></p><br><h4>10. Real World Problem - Investment Requirement Analysis for a Company</h4><p></p><br><h4>11. Loan Analysis Project</h4><p></p>

Python

Master Data Science skills using Python and real time project and go from Beginner to Super Advance level

Data Statistics with Full Stack Python

<strong>This course is designed for beginners, although we will go deep gradually, and is a highly focused course designed to master your Python skills in probability and statistics, which covers the major part of machine learning or data science-related career opportunities.</strong>
        <p>In today's ultra-competitive business universe, probability and statistics are the most important fields of study. That is because statistical research presents businesses with the data they need to make informed decisions in every business area, whether it is market research, product development, product launch timing, customer data analysis, sales forecast, or employee performance.

But why do you need to master probability and statistics in Python?

The answer is that an expert grip on the concepts of statistics and probability with data science will enable you to take your career to the next level. This course is designed carefully to reflect the most in-demand skills that will help you in understanding the concepts and methodology with regard to Python.

The course is as follows:

Easy to understand
Expressive
Comprehensive
Practical with live coding
About establishing links between probability and machine learning

By the end of this course, you will be able to relate the concepts and theories in machine learning with probabilistic reasoning and understand the methodology of statistics and probability with data science, using real datasets.

The code files and all related files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Mastering-Probability-and-Statistics-in-Python</p>
        <h2>What You Will Learn</h2><p>The importance of statistics and probability in data science<br>The foundations for machine learning and its roots in probability theory<br>The concepts of absolute beginning in-depth with examples in Python<br>Practical explanation and live coding with Python<br>Probabilistic view of modern machine learning<br>Implementation of Bayes' classifier on a real dataset</p>
        <h2>Audience</h2><p>This course is for individuals who want to learn statistics and probability along with its implementation in realistic projects. Data scientists and business analysts and those who want to upgrade their data analysis skills will also get the benefit. People who want to learn statistics and probability with real datasets in data science and are passionate about numbers and programming will get the most out of this course.<br><br>No prior knowledge is needed. You start from the basics and gradually build your knowledge of the subject. A basic understanding of Python will be a plus but not mandatory.</p>
        <h2>Approach</h2><p>This course is designed for beginners, although we will go deep gradually. You will learn theoretical concepts first, followed by its practical implementation in Python. At the end of each module, you will work on the homework/tasks, which will evaluate/further build your learning based on the previous concepts and methods.</p>
        <h2>Key Features</h2><p>Easy explanations, yet complete and comprehensive course * Fundamental, pythonic, and a complete course to master the important concepts used in data science * Practical with live coding of the implementation of the concepts learned theoretically</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Mastering-Probability-and-Statistics-in-Python</p>
        <h2>About the Author</h2><h3>AI Sciences</h3><p>AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences.

Their courses have successfully helped more than 100,000 students master AI and data science.</p>
        <h2>Course Outline</h2><h4>1. Introduction to the Course</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to the Instructor</p><p style='margin: 0'>This video gives you an introduction to AI sciences and to the instructor of this course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Focus of the Course</p><p style='margin: 0'>This video shows you the objective of the course.</p></td></tr></tbody></table><br><h4>2. Probability and Statistics</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Probability Versus Statistics</p><p style='margin: 0'>This video focuses on probability versus statistics.</p></td></tr></tbody></table><br><h4>3. Sets</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Definition of Set</p><p style='margin: 0'>This video demonstrates the definition of a set.</p></td></tr><tr><td style='padding: 15px;'><p>2. Cardinality of a Set</p><p style='margin: 0'>This video explains the cardinality of a set.</p></td></tr><tr><td style='padding: 15px;'><p>3. Subsets, Power Set, and Universal Set</p><p style='margin: 0'>This video explains subsets, power set, and universal set.</p></td></tr><tr><td style='padding: 15px;'><p>4. Python Practice Subsets</p><p style='margin: 0'>This video lets you practice on the subsets that you have learned so far.</p></td></tr><tr><td style='padding: 15px;'><p>5. Power Sets Solution</p><p style='margin: 0'>This video answers the problem statement to generate the power set.</p></td></tr><tr><td style='padding: 15px;'><p>6. Operations</p><p style='margin: 0'>This video explores the different types of operations that can be performed on the sets.</p></td></tr><tr><td style='padding: 15px;'><p>7. Python Practice Operations</p><p style='margin: 0'>This video lets you practice on the types of operations that you have learned so far.</p></td></tr><tr><td style='padding: 15px;'><p>8. Venn Diagrams Operations</p><p style='margin: 0'>This video shows the types of operations that can be performed on the Venn diagrams.</p></td></tr><tr><td style='padding: 15px;'><p>9. Homework</p><p style='margin: 0'>This video is a practice assignment that is bundled with a few questions for you to be solved and it is based upon the concepts learned in this section.</p></td></tr></tbody></table><br><h4>4. Experiment</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Random Experiment</p><p style='margin: 0'>This video explains about a random experiment.</p></td></tr><tr><td style='padding: 15px;'><p>2. Outcome and Sample Space</p><p style='margin: 0'>This video explains what is meant by the outcome and sample space of any experiment.</p></td></tr><tr><td style='padding: 15px;'><p>3. Event</p><p style='margin: 0'>This video explains about the event in an experiment.</p></td></tr><tr><td style='padding: 15px;'><p>4. Recap and Homework</p><p style='margin: 0'>This video is a practice assignment that is bundled with a few questions for you to be solved and it is based upon the concepts learned in this section.</p></td></tr></tbody></table><br><h4>5. Probability Model</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Probability model</p><p style='margin: 0'>This video talks about probability models.</p></td></tr><tr><td style='padding: 15px;'><p>2. Probability Axioms</p><p style='margin: 0'>This video explains axioms of probability.</p></td></tr><tr><td style='padding: 15px;'><p>3. Probability Axioms Derivations</p><p style='margin: 0'>This video covers derivation from axioms of probability.</p></td></tr><tr><td style='padding: 15px;'><p>4. Probability Models Example</p><p style='margin: 0'>This video shows examples of probability models.</p></td></tr><tr><td style='padding: 15px;'><p>5. More Examples of Probability Models</p><p style='margin: 0'>This video shows a few more examples of probability models.</p></td></tr><tr><td style='padding: 15px;'><p>6. Probability Models Continuous</p><p style='margin: 0'>This video talks about continuous probability models.</p></td></tr><tr><td style='padding: 15px;'><p>7. Conditional Probability</p><p style='margin: 0'>This video explains the concept of conditional probability.</p></td></tr><tr><td style='padding: 15px;'><p>8. Conditional Probability Example</p><p style='margin: 0'>This video shows an example of conditional probability.</p></td></tr><tr><td style='padding: 15px;'><p>9. Conditional Probability Formula</p><p style='margin: 0'>This video covers the formula for conditional probability.</p></td></tr><tr><td style='padding: 15px;'><p>10. Conditional Probability in Machine Learning</p><p style='margin: 0'>This video demonstrates the importance of conditional probability in Machine learning.</p></td></tr><tr><td style='padding: 15px;'><p>11. Conditional Probability Total Probability Theorem</p><p style='margin: 0'>This video covers the law of total probability or total probability theorem.</p></td></tr><tr><td style='padding: 15px;'><p>12. Probability Models Independence</p><p style='margin: 0'>This video explains one of the important probability theories, that is, "Independence".</p></td></tr><tr><td style='padding: 15px;'><p>13. Probability Models Conditional Independence</p><p style='margin: 0'>This video continues with the concept of Independence in the probability theory.</p></td></tr><tr><td style='padding: 15px;'><p>14. Probability Models Bayes' Rule</p><p style='margin: 0'>This video explains the Bayes' rule or theorem in probability theory.</p></td></tr><tr><td style='padding: 15px;'><p>15. Probability Models towards Random Variables</p><p style='margin: 0'>This video talks about random variables.</p></td></tr><tr><td style='padding: 15px;'><p>16. Homework</p><p style='margin: 0'>This video is a practice assignment that is bundled with a few questions for you to be solved and it is based upon the concepts learned in this section.</p></td></tr></tbody></table><br><h4>6. Random Variables</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video provides an introduction to random variables.</p></td></tr><tr><td style='padding: 15px;'><p>2. Random Variables Examples</p><p style='margin: 0'>This video shows examples of random variables.</p></td></tr><tr><td style='padding: 15px;'><p>3. Bernoulli Random Variables</p><p style='margin: 0'>This video explains discrete random variables and you will also learn about the Bernoulli random variable.</p></td></tr><tr><td style='padding: 15px;'><p>4. Bernoulli Trail Python Practice</p><p style='margin: 0'>This video builds simulation for the Bernoulli random variable.</p></td></tr><tr><td style='padding: 15px;'><p>5. Geometric Random Variable</p><p style='margin: 0'>This video explains the concept of geometric random variable.</p></td></tr><tr><td style='padding: 15px;'><p>6. Geometric Random Variable Normalization Proof Optional</p><p style='margin: 0'>This video will continue to discuss the geometric random variable.</p></td></tr><tr><td style='padding: 15px;'><p>7. Geometric Random Variable Python Practice</p><p style='margin: 0'>This video shows the implementation of geometric random variable in Python.</p></td></tr><tr><td style='padding: 15px;'><p>8. Binomial Random Variables</p><p style='margin: 0'>This video explains the concept of binomial random variables.</p></td></tr><tr><td style='padding: 15px;'><p>9. Binomial Python Practice</p><p style='margin: 0'>This video shows the implementation of binomial random variable in Python.</p></td></tr><tr><td style='padding: 15px;'><p>10. Random Variables in Real Datasets</p><p style='margin: 0'>This video shows the real data sets and helps you build a relation of random variables on real datasets.</p></td></tr><tr><td style='padding: 15px;'><p>11. Homework</p><p style='margin: 0'>This video is a practice assignment that is bundled with a few questions for you to be solved and it is based upon the concepts learned in this section.</p></td></tr></tbody></table><br><h4>7. Continuous Random Variables</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Zero Probability to Individual Values</p><p style='margin: 0'>This video talks about continuous random variables.</p></td></tr><tr><td style='padding: 15px;'><p>2. Probability Density Functions</p><p style='margin: 0'>This video explains probability density functions.</p></td></tr><tr><td style='padding: 15px;'><p>3. Uniform Distribution</p><p style='margin: 0'>This video explains uniform distribution.</p></td></tr><tr><td style='padding: 15px;'><p>4. Uniform Distribution Python</p><p style='margin: 0'>This video shows the implementation of uniform distribution in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. Exponential</p><p style='margin: 0'>This video explains about the exponential random variables.</p></td></tr><tr><td style='padding: 15px;'><p>6. Exponential Python</p><p style='margin: 0'>This video shows the implementation of exponential random variables in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. Gaussian Random Variables</p><p style='margin: 0'>This video explains about Gaussian random variables.</p></td></tr><tr><td style='padding: 15px;'><p>8. Gaussian Python</p><p style='margin: 0'>This video shows the implementation of Gaussian random variables in Python.</p></td></tr><tr><td style='padding: 15px;'><p>9. Transformation of Random Variables</p><p style='margin: 0'>This video explains about the transformation of random variables.</p></td></tr><tr><td style='padding: 15px;'><p>10. Homework</p><p style='margin: 0'>This video is a practice assignment that is bundled with a few questions for you to be solved and it is based upon the concepts learned in this section.</p></td></tr></tbody></table><br><h4>8. Expectations</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Definition</p><p style='margin: 0'>This video defines expectations in detail.</p></td></tr><tr><td style='padding: 15px;'><p>2. Sample Mean</p><p style='margin: 0'>This video helps you compute the mean or average of the data in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Law of Large Numbers</p><p style='margin: 0'>This video talks about the law of large numbers.</p></td></tr><tr><td style='padding: 15px;'><p>4. Law of Large Numbers Famous Distributions</p><p style='margin: 0'>This video continues with the concept of law of large numbers.</p></td></tr><tr><td style='padding: 15px;'><p>5. Law of Large Numbers Famous Distributions Python</p><p style='margin: 0'>This video shows the implementation of law of large numbers concept in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Variance</p><p style='margin: 0'>In this video, you will learn about the variance concept.</p></td></tr><tr><td style='padding: 15px;'><p>7. Homework</p><p style='margin: 0'>This video is a practice assignment that is bundled with a few questions for you to be solved and it is based upon the concepts learned in this section.</p></td></tr></tbody></table><br><h4>9. Project Bayes' Classifier</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Project Bayes' Classifier from Scratch</p><p style='margin: 0'>In this video, you will build the Bayes' classifier in Python from scratch.</p></td></tr></tbody></table><br><h4>10. Multiple Random Variables</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Joint Distributions</p><p style='margin: 0'>This video talks about joint distributions.</p></td></tr><tr><td style='padding: 15px;'><p>2. Multivariate Gaussian</p><p style='margin: 0'>This video explains about multivariate Gaussian.</p></td></tr><tr><td style='padding: 15px;'><p>3. Conditioning Independence</p><p style='margin: 0'>This video demonstrates conditioning in random variables.</p></td></tr><tr><td style='padding: 15px;'><p>4. Classification</p><p style='margin: 0'>This video shows you the objective of the course.</p></td></tr><tr><td style='padding: 15px;'><p>5. Naive Bayes' Classification</p><p style='margin: 0'>This video explains the concepts of Naive Bayes' classifier.</p></td></tr><tr><td style='padding: 15px;'><p>6. Regression</p><p style='margin: 0'>This video talks about the regression model.</p></td></tr><tr><td style='padding: 15px;'><p>7. Curse of Dimensionality</p><p style='margin: 0'>This video talks about curse of dimensionality.</p></td></tr><tr><td style='padding: 15px;'><p>8. Homework</p><p style='margin: 0'>This video is a practice assignment that is bundled with a few questions for you to be solved and it is based upon the concepts learned in this section.</p></td></tr></tbody></table><br><h4>11. Optional Estimation</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Parametric Distributions</p><p style='margin: 0'>This video explains about parametric distributions.</p></td></tr><tr><td style='padding: 15px;'><p>2. Maximum Likelihood Estimate (MLE)</p><p style='margin: 0'>This video explains about the Maximum Likelihood Estimate (MLE).</p></td></tr><tr><td style='padding: 15px;'><p>3. Log Likelihood</p><p style='margin: 0'>This video helps you learn about Log Likelihood.</p></td></tr><tr><td style='padding: 15px;'><p>4. Maximum A Posterior Estimate (MAP)</p><p style='margin: 0'>This video explains Maximum A Posterior Estimate (MAP).</p></td></tr><tr><td style='padding: 15px;'><p>5. Logistic Regression</p><p style='margin: 0'>This video helps you understand logistic regression in detail.</p></td></tr><tr><td style='padding: 15px;'><p>6. Ridge Regression</p><p style='margin: 0'>This video helps you understand ridge regression in detail.</p></td></tr><tr><td style='padding: 15px;'><p>7. Deep Neural Network (DNN)</p><p style='margin: 0'>This video focuses on Deep Neural Network (DNN) concept.</p></td></tr></tbody></table><br><h4>12. Mathematical Derivations for Math Lovers</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Permutations</p><p style='margin: 0'>This video showcases and explains the concept of permutations in detail.</p></td></tr><tr><td style='padding: 15px;'><p>2. Combinations</p><p style='margin: 0'>This video helps you learn about combination in detail.</p></td></tr><tr><td style='padding: 15px;'><p>3. Binomial Random Variable</p><p style='margin: 0'>This video explains about the binomial random variable.</p></td></tr><tr><td style='padding: 15px;'><p>4. Logistic Regression Formulation</p><p style='margin: 0'>This video explains logistic regression formulation.</p></td></tr><tr><td style='padding: 15px;'><p>5. Logistic Regression Derivation</p><p style='margin: 0'>This video explains logistic regression derivation.</p></td></tr></tbody></table>

Data Science

This course is designed for beginners, although we will go deep gradually, and is a highly focused course designed to master your Python skills in probability and statistics, which covers the major part of machine learning or data science-related career opportunities.

Mastering Probability and Statistics in Python

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Definition of Safeguarding Legislation &amp; agreed ways of working</p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Definition of Safeguarding</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Legislation &amp; agreed ways of working</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Every child matters guidance</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Myths and statistics</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Effects on young people</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Leadership/worker skills</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Common indicators of abuse</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Reporting of abuse and potential abuse</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Barriers to reporting abuse</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Understanding the types of abuse</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Recognising acts, signs and symptoms of abuse</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Who is vulnerable / at risk</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The role of dignity in safeguarding</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Legislation and policies and procedure</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">What to do should you have a concern</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Overview of prevent</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">How to respond to an individual should they disclose a concern</p>

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