Name: Online Statistics Training
Price: 24.99 GBP
Availability: InStock

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			<h2>Overview
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					<p><span>This comprehensive course on </span><b>Statistics</b><span> will deepen your understanding on this topic.</span></p><p><span>After successful completion of this course you can acquire the required skills in this sector. This </span><b>Statistics</b><span> comes with accredited certification, which will enhance your CV and make you worthy in the job market.</span></p><p><span>So enrol in this course today to fast track your career ladder.</span></p>					</div>
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			<h2>How will I get my certificate?</h2>		</div>
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					<p><span>At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price.</span></p>					</div>
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			<h2>Who is This course for?</h2>		</div>
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					<p><span>There is no experience or previous qualifications required for enrolment on this </span><b>Statistics</b><span>. It is available to all students, of all academic backgrounds.</span></p>					</div>
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			<h2>Requirements</h2>		</div>
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					<p><span>Our </span><b>Statistics</b><span> is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.</span></p><p><span>There is no time limit for completing this course, it can be studied in your own time at your own pace.</span></p>					</div>
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			<h2>Career Path</h2>		</div>
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					<p><span>Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business &amp; Management, Admin, Accountancy &amp; Finance, Secretarial &amp; PA, Teaching &amp; Mentoring etc.</span></p>					</div>
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					</div> <h3>Course Curriculum</h3><div><p>10 sections • 10 lectures • 03:19:00 total length</p></div><div><div><div><div><div><div><div><p>•Introduction to Statistics: 00:19:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Measuring Central Tendency: 00:19:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Measures of Dispersion: 00:12:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Correlation and Regression Analysis: 00:35:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Probability: 00:17:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Sampling: 00:20:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Charts and Graphs: 00:22:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Hypothesis Testing: 00:25:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Ten Common Statistical Mistakes: 00:30:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Assignment - Statistics: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Apex Learning

Certificate in Further Education & Training (Cert Ed)

Business Studies

Statistical Computing

Biostatistics

Trainers Course

Statistics

General Admission

<p>The world is changing at an unprecedented pace, and data is at the heart of it all. Are you ready to join the ranks of data analysts, statisticians, and economists who are driving the future? We have just the thing to get you started - our Data Analysis, Statistics &amp; Economics bundle, designed to give you the skills and expertise you need to thrive in these exciting fields.</p><p>At the heart of the bundle are three QLS-endorsed courses that cover the fundamentals of statistics, economics, and basic data analysis. Whether you're just starting out or looking to enhance your skills, these courses are the perfect place to begin. And upon completion of each course, you'll receive a hardcopy certificate endorsed by QLS, recognised globally as a mark of excellence in education and training.</p><p>But that's not all - our bundle also includes five CPD-QS accredited courses that cover the latest tools and techniques used by industry professionals. From Google Data Studio and Azure Machine Learning to Statistics &amp; Probability for Data Science &amp; Machine Learning and 2021 Data Science &amp; Machine Learning with R from A-Z, these courses are designed to give you the competitive edge you need to succeed in today's data-driven world.</p><p>So what are you waiting for? Join the ranks of the data elite and unlock your full potential with our Data Analysis, Statistics &amp; Economics bundle.</p><p><strong>QLS Endorsed Courses:</strong></p><ul><li><strong>Course 01:</strong> Diploma in Statistics at QLS Level 4</li><li><strong>Course 02:</strong> Advanced Diploma in Economics at QLS Level 6</li><li><strong>Course 03:</strong> Diploma in Data Analysis Fundamentals at QLS Level 5</li></ul><p><strong>CPD QS Accredited Courses:</strong></p><ul><li><strong>Course 04:</strong> Google Data Studio: Data Analytics</li><li><strong>Course 05:</strong> Azure Machine Learning</li><li><strong>Course 06:</strong> Machine Learning Model Using AWS SageMaker Canvas</li><li><strong>Course 07:</strong> Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong>Course 08:</strong> 2021 Data Science &amp; Machine Learning with R from A-Z</li></ul><p>Take your career to the next level with our bundle that includes not only technical courses but also <strong>five guided courses</strong> focused on personal development and <strong> career growth.</strong></p><ul><li><strong>Course 09: </strong>Leadership and Management Course</li><li><strong>Course 10:</strong> Career Development and Passion</li><li><strong>Course 11: </strong>Professional CV Writing</li><li><strong>Course 12: </strong>Boost Your Confidence and Self-Esteem</li><li><strong>Course 13: </strong>Public Speaking: Confident Delivery Skills</li></ul><p><strong>Learning Outcomes:</strong></p><ul><li>Ability to analyse and interpret data</li><li>Understanding of statistical methods and their application</li><li>Familiarity with economic concepts and their role in decision-making</li><li>Proficiency in basic data analysis techniques</li><li>Knowledge of machine learning and data analytics tools</li><li>Critical thinking and problem-solving skills</li><li>Effective communication and presentation skills</li></ul><p>Our QLS-endorsed courses in Statistics, Economics, and Basic Data Analysis cover a range of topics, from data visualisation and hypothesis testing to regression analysis and forecasting. In the Statistics course, you'll learn how to use statistical methods to make sense of data and draw conclusions. The Economics course covers fundamental concepts like supply and demand, market equilibrium, and trade. And in the Basic Data Analysis course, you'll gain proficiency in Excel and other data analysis tools.</p><p><strong>Certification</strong></p><p>Learners will qualify for the <strong>highly sought-after QLS Endorsed Certificate</strong> after successfully passing the assessment at the conclusion of each endorsed course.</p><p><strong>The Quality Licence Scheme</strong> is a credible and renowned endorsement that marks <strong>high quality</strong><strong>and excellence</strong> in the UK. It is well accepted and sought after by industry experts and recruiters.</p><p>Learners who purchase this bundle will receive <strong>Three Hardcopy QLS Certificates at their door!</strong></p><h2>
        
        <div>CPD</div>
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                                        40 CPD hours / points
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                                            Accredited by CPD Quality Standards
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        <div>Who is this course for?</div>
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                            <ul><li>Individuals looking to enhance their data analysis skills</li><li>Students interested in pursuing a career in data science or economics</li><li>Business professionals looking to improve their decision-making skills</li><li>Anyone interested in learning the fundamentals of statistics and economics</li></ul>
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        <div>Career path</div>
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                            <ul><li>Data Analyst: £22,000 - £50,000 per year</li><li>Economist: £25,000 - £60,000 per year</li><li>Data Scientist: £35,000 - £90,000 per year</li><li>Business Analyst: £25,000 - £60,000 per year</li><li>Financial Analyst: £25,000 - £60,000 per year</li></ul>
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                                    <h4>Certificate of completion</h4>
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            Hard copy certificate -
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One Education

Data Analysis, Statistics & Economics Course

<p><strong>***24 Hour Limited Time Flash Sale*** <br /><br /> Data Analysis, Statistics &amp; Economics - QLS Endorsed Admission Gifts  <br /><br /> FREE PDF &amp; Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter</strong></p><p>Immerse yourself in the realm of Data Analysis, Statistics &amp; Economics with our eight-course bundle, meticulously curated to offer a robust foundation in these critical fields. Our comprehensive package includes three prestigious QLS-endorsed courses in Statistics, Economics, and Basic Data Analysis, ensuring a strong foundational understanding. Plus, we supplement this knowledge with five relevant CPD QS accredited courses encompassing cutting-edge domains like Google Data Studio, Azure Machine Learning, AWS SageMaker Canvas, and more.</p><p>No matter your current knowledge level, this course bundle will deepen your understanding of Data Analysis, Statistics &amp; Economics and elevate your theoretical knowledge. Your achievement will be acknowledged with a hardcopy certificate for each QLS-endorsed course, a tangible testament to your dedication and hard work.</p><p>In this digital age, skills in Data Analysis, Statistics &amp; Economics are more than just desirable; they're indispensable. Equip yourself with the theoretical knowledge needed to navigate the complexities of these domains confidently. Whether you're looking to enhance your current skillset, seeking a career change, or just curious, this bundle is the perfect choice. Dive into the world of Data Analysis, Statistics &amp; Economics today, and prepare to discover a wealth of knowledge.</p><p><strong>Key Features of the Data Analysis, Statistics &amp; Economics Bundle:</strong></p><ul><li><strong>3 QLS-Endorsed Courses:</strong> We proudly offer 3 QLS-endorsed courses within our [Course_Title] bundle, providing you with industry-recognized qualifications. Plus, you'll receive a <strong>free hardcopy certificate</strong> for each of these courses.</li><ul><li><strong>QLS Course 01:</strong> Statistics</li><li><strong> QLS Course 02: </strong>Economics</li><li><strong> QLS Course 03:</strong> Basic Data Analysis</li></ul></ul><ul><li><strong>5 CPD QS Accredited Courses</strong>: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices.</li><ul><li><strong>Course 01: </strong>Google Data Studio: Data Analytics</li><li><strong>Course 02: </strong>Azure Machine Learning</li><li><strong>Course 03:</strong> Machine Learning Model Using AWS SageMaker Canvas</li><li><strong>Course 04: </strong>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong>Course 05: </strong>2021 Data Science &amp; Machine Learning with R from A-Z</li></ul></ul><ul><li>In Addition, you'll get <strong>Five Career Boosting Courses</strong> absolutely FREE with this Bundle.</li><ul><li><strong>Course 01: </strong>Professional CV Writing</li><li><strong>Course 02: </strong>Job Search Skills</li><li><strong>Course 03:</strong> Self Esteem &amp; Confidence Building</li><li><strong>Course 04: </strong>Professional Diploma in Stress Management</li><li><strong>Course 05: </strong>Complete Communication Skills Master Class</li></ul></ul><ul><li>Convenient Online Learning: Our Data Analysis, Statistics &amp; Economics courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home.</li></ul><p><strong>Learning Outcomes</strong></p><ul><li>Gain a robust theoretical understanding of Statistics, Economics &amp; Basic Data Analysis.</li><li>Develop a strong foundation in Google Data Studio for data analytics.</li><li>Acquire theoretical knowledge of Azure Machine Learning and its applications.</li><li>Familiarise with Machine Learning model creation using AWS SageMaker Canvas.</li><li>Understand the role of Statistics &amp; Probability in Data Science and Machine Learning.</li><li>Learn the principles and applications of Data Science &amp; Machine Learning with R.</li><li>Receive QLS-endorsed hardcopy certificates for three foundational courses.</li></ul> <p>Dive into the comprehensive world of Data Analysis, Statistics &amp; Economics with our tailored eight-course bundle. Our blend of three QLS-endorsed courses and five CPD QS accredited courses ensures a well-rounded understanding of these ever-relevant fields. Enhance your theoretical knowledge base and embrace the opportunity to explore different facets of these domains, from basic principles to the utilisation of cutting-edge tools.</p> <h2>
        
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                                        270 CPD hours / points
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                                            Accredited by CPD Quality Standards
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        <div>Who is this course for?</div>
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                            <ul><li>Individuals interested in gaining a theoretical understanding of Data Analysis, Statistics &amp; Economics.</li><li>Professionals looking to supplement their existing knowledge with a broadened skillset.</li><li>Students seeking to complement their academic studies with additional courses.</li><li>Career changers looking to delve into the fields of Data Analysis, Statistics &amp; Economics.</li></ul>
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        <div>Career path</div>
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                            <ul><li>Data Analyst: £26,000 - £50,000</li><li>Economic Consultant: £30,000 - £60,000</li><li>Statistical Analyst: £30,000 - £55,000</li><li>Machine Learning Engineer: £40,000 - £80,000</li><li>Business Intelligence Analyst: £35,000 - £65,000</li><li>Operations Research Analyst: £28,000 - £55,000</li></ul>
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                                    <h4> Digital certificate</h4>
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            Digital certificate -
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        <h4> Hard copy certificate</h4>
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            Hard copy certificate -
            Included
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Academy for Health and Fitness

Online Course Marketing

Finance Cert & Exam Prep

Data Science

ELS (Effective Learning Service)

A Level Economics

Data Skills

Data Analysis, Statistics & Economics - QLS Endorsed

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					<div><p><span>Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Statistics Essentials Course </span><span>has been specially designed to help learners gain a good command of Statistics Essentials Course</span><span>, providing them with a solid foundation of knowledge to become a qualified professional.</span></p><p><span>Through this Statistics Essentials Course</span><span>, you will gain both practical and theoretical understanding of Statistics Essentials Course </span><span>that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.</span></p><p><span>Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.`</span></p></div>
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										<span>Get a deep understanding of the Statistics Essentials Course just in hours not years</span>
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										<span>No formal qualifications required, anyone from any academic background can take this course.</span>
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										<span>Access to any internet-enabled smart device.</span>
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										<span>You will receive a completion certificate upon completing the course.</span>
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										<span>Internationally recognized Accredited Qualification will boost up your resume.</span>
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										<span>You will learn the researched and proven approach adopted by successful salespeople to transform their careers.</span>
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										<span>You will be able to incorporate various practical sales techniques successfully and understand your customers better.</span>
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                                <h2>Course Curriculum</h2>
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					<td colspan="4"><strong>Module 01: Introduction to Statistics</strong></td>
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					<td>Introduction to Statistics</td><td><span>🕐 00:18:00</span></td>
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					<td colspan="4"><strong>Module 02: Measuring Central Tendency</strong></td>
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					<td>Measuring Central Tendency</td><td><span>🕐 00:18:00</span></td>
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					<td colspan="4"><strong>Module 03: Measures of Dispersion</strong></td>
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					<td>Measures of Dispersion</td><td><span>🕐 00:11:00</span></td>
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					<td colspan="4"><strong>Module 04: Correlation and Regression Analysis</strong></td>
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					<td>Correlation and Regression Analysis</td><td><span>🕐 00:35:00</span></td>
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					<td colspan="4"><strong>Module 05: Probability</strong></td>
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					<td>Probability</td><td><span>🕐 00:16:00</span></td>
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					<td>Sampling</td><td><span>🕐 00:19:00</span></td>
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					<td colspan="4"><strong>Module 07: Charts and Graphs</strong></td>
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					<td>Charts and Graphs</td><td><span>🕐 00:21:00</span></td>
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					<td colspan="4"><strong>Module 08: Hypothesis Testing</strong></td>
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					<td>Hypothesis Testing</td><td><span>🕐 00:25:00</span></td>
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					<td colspan="4"><strong>Module 09: Ten Common Statistical Mistakes</strong></td>
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					<td>Ten Common Statistical Mistakes</td><td><span>🕐 00:30:00</span></td>
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Skill Up

Essential Skills

Study Skills

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Statistics Essentials

<p>Venture into the world of data interpretation with our illuminating '<strong>Applied Statistics</strong>' course. In an era where every decision is data-driven, the art of statistics becomes an indispensable tool. This course masterfully unfolds the complexities of statistical analysis, from the basics to advanced methodologies. Whether it's understanding central tendencies, charting out data, or avoiding common pitfalls, we've got it all covered. Set yourself on a path to make informed decisions and discern patterns like never before.</p>
<p><strong>Learning Outcomes</strong></p>
<ul>
<li>Understand the core concepts and fundamentals of statistics.</li>
<li>Master methods of measuring central tendencies and dispersion in datasets.</li>
<li>Dive deep into correlation, regression, and hypothesis testing techniques.</li>
<li>Attain proficiency in data visualisation using charts and graphs.</li>
<li>Identify and rectify ten prevalent statistical mistakes.</li>
</ul>
<h3><b>Why choose this Applied Statistics<span> course</span>?</b></h3>
<ul>
<li>Unlimited access to the course for a lifetime.</li>
<li>Opportunity to earn a certificate accredited by the <b>CPD Quality Standards</b><b> </b>after completing this course.</li>
<li>Structured lesson planning in line with industry standards.</li>
<li>Immerse yourself in innovative and captivating course materials and activities.</li>
<li>Assessments are designed to evaluate advanced cognitive abilities and skill proficiency.</li>
<li>Flexibility to complete the <b>Applied Statistics</b> Course at your own pace, on your own schedule.</li>
<li>Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.</li>
</ul>
<h3><b>Who is this Applied Statistics<span> </span></b><b><span>course </span></b><b>for?</b></h3>
<ul>
<li>Students embarking on a journey in data science or related fields.</li>
<li>Business analysts seeking to enhance their data interpretation skills.</li>
<li>Researchers keen to strengthen their statistical analysis techniques.</li>
<li>Professionals in various industries aiming to make data-backed decisions.</li>
<li>Educators looking to teach statistical methods more effectively.</li>
</ul>
<h3><b>Career path</b></h3>
<ul>
<li><strong>Data Analyst</strong> - £25,000 - £40,000</li>
<li><strong>Statistical Consultant</strong> - £30,000 - £50,000</li>
<li><strong>Research Scientist (Statistics)</strong> - £35,000 - £55,000</li>
<li><strong>Econometrician</strong> - £40,000 - £60,000</li>
<li><strong>Quantitative Analyst</strong> - £45,000 - £70,000</li>
<li><strong>Biostatistician</strong> - £30,000 - £50,000</li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Applied Statistics</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>Applied Statistics</b><span> was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.</span></p>
<h3><b>Certification</b></h3>
<p><span>After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.</span></p><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: Introduction to Statistics </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to Statistics</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Measuring Central Tendency</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Measuring Central Tendency</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Measures of Dispersion</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Measures of Dispersion</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Correlation and Regression Analysis</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Correlation and Regression Analysis</td>
					<td> </td>
					<td><span><i></i> 00:35:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Probability </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Probability</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Sampling </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sampling</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Charts and Graphs</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Charts and Graphs</td>
					<td> </td>
					<td><span><i></i> 00:21:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Hypothesis Testing </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Hypothesis Testing</td>
					<td> </td>
					<td><span><i></i> 00:25:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Ten Common Statistical Mistakes </td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Ten Common Statistical Mistakes</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Assignment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Applied Statistics</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Studyhub UK

Applied Statistics

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				<p><span>Register on the Statistics Essentials today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career.</span></p><p><span>The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials.</span></p><p><span>Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion.</span></p><p><span>The Statistics Essentials is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones.</span></p><p><span>The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly!</span></p>					</div>
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			<h2>What You Get With The Statistics Essentials</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<ul><li><span>Receive an e-certificate upon successful completion of the course</span></li><li><span>Get taught by experienced, professional instructors</span></li><li><span>Study at a time and pace that suits your learning style</span></li><li><span>Get instant feedback on assessments </span></li><li><span>24/7 help and advice via email or live chat</span></li><li><span>Get full tutor support on weekdays (Monday to Friday)</span></li></ul>					</div>
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			<h2>Course Design</h2>		</div>
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				<div id="course-home"><div><p><span>The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.</span></p><p><span>You are taught through a combination of</span></p><ul><li><span>Video lessons</span></li><li><span>Online study materials</span></li></ul></div></div>					</div>
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			<h2>Certification</h2>		</div>
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				<p><span>Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99.</span></p>					</div>
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			<h2>Who Is This Course For</h2>		</div>
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				<p><span>The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.</span></p>					</div>
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			<h2>Requirements</h2>		</div>
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				<p><span>The online training is open to all students and has no formal entry requirements. To study the Statistics Essentials, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.</span></p>					</div>
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				<h3>Course Content</h3>

<div id="course_curriculum">
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: Introduction to Statistics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to Statistics</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Measuring Central Tendency</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Measuring Central Tendency</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Measures of Dispersion</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Measures of Dispersion</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Correlation and Regression Analysis</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Correlation and Regression Analysis</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Probability</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Probability</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Sampling</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sampling</td>
					<td> </td>
					<td><span><i></i> 00:22:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Charts and Graphs</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Charts and Graphs</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Hypothesis Testing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Hypothesis Testing</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Ten Common Statistical Mistakes</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Ten Common Statistical Mistakes</td>
					<td> </td>
					<td><span><i></i> 00:25:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
			<h2>Frequently Asked Questions</h2>
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                                <span>
                                    Are there any prerequisites for taking the course?
                                </span>
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                                    <span></span>
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                                    <p>
                                        There are no specific prerequisites for this course, nor
                                        are there any formal entry requirements. All you need is
                                        an internet connection, a good understanding of English
                                        and a passion for learning for this course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Can I access the course at any time, or is there a set
                                    schedule?
                                </span>
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                                    <span></span>
                                </div>
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                                    <p>
                                        You have the flexibility to access the course at any time
                                        that suits your schedule. Our courses are self-paced,
                                        allowing you to study at your own pace and convenience.
                                    </p>
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                                <span>
                                    How long will I have access to the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        For this course, you will have access to the course
                                        materials for 1 year only. This means you can review the
                                        content as often as you like within the year, even after
                                        you've completed the course. However, if you buy Lifetime
                                        Access for the course, you will be able to access the
                                        course for a lifetime.
                                    </p>
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                                <span>
                                    Is there a certificate of completion provided after
                                    completing the course?
                                </span>
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                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        Yes, upon successfully completing the course, you will
                                        receive a certificate of completion. This certificate can
                                        be a valuable addition to your professional portfolio and
                                        can be shared on your various social networks.
                                    </p>
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                        <div>
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                                <span>
                                    Can I switch courses or get a refund if I'm not satisfied
                                    with the course?
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                                    <span></span>
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                                    <p>
                                        We want you to have a positive learning experience. If
                                        you're not satisfied with the course, you can request a
                                        course transfer or refund within 14 days of the initial
                                        purchase.
                                    </p>
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                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    How do I track my progress in the course?
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                                    <span></span>
                                </div>
                            </div>
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                                    <p>
                                        Our platform provides tracking tools and progress
                                        indicators for each course. You can monitor your progress,
                                        completed lessons, and assessments through your learner
                                        dashboard for the course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    What if I have technical issues or difficulties with the
                                    course?
                                </span>
                                <div>
                                    <span></span>
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                                    <p>
                                        If you encounter technical issues or content-related
                                        difficulties with the course, our support team is
                                        available to assist you. You can reach out to them for
                                        prompt resolution.
                                    </p>
                                </div>
                            </div>
                        </div>

Janets

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							<p><span>Statistics Essentials is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Statistics Essentials and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills.</span></p><p><span>Consisting of several modules, the course teaches you everything you need to succeed in this profession.</span></p><p><span>The course can be studied part-time. You can become accredited within 03 </span><span>Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website.</span></p>						</div>
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			<h3><b>Why Choose Teachers Training</b></h3>		</div>
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			<p>Some of our website features are:</p>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>This is a dedicated website for teaching</span>
									</li>
								<li>
											<span>
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										<span>24/7 tutor support</span>
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											<span>
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										<span>Interactive Content</span>
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										<span>Affordable price</span>
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											<span>
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										<span>Courses accredited by the UK's top awarding bodies</span>
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										<span>100% online </span>
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		</section>
				<section>
						<div>
					<div>
			<div>
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				<div>
			<h3><b> Entry Requirements
</b></h3>		</div>
				</div>
				<div>
				<div>
			<p>No formal entry requirements. You need to have:</p>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Passion for learning</span>
									</li>
								<li>
											<span>
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										<span>A good understanding of the English language</span>
									</li>
								<li>
											<span>
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										<span>Be motivated and hard-working</span>
									</li>
								<li>
											<span>
													</span>
										<span>Over the age of 16.</span>
									</li>
						</ul>
				</div>
				</div>
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		</section>
				<section>
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				<div>
			<h3><b>Certification</b></h3>		</div>
				</div>
				<div>
				<div>
							<p><b>CPD Certification from The Teachers Training</b></p><p>Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish.</p><ul><li>You can get your digital certificate (PDF) for £4.99 only</li><li>Hard copy certificates are also available, and you can get one for only £10.99</li><li>You can get both PDF and Hard copy certificates for just £12.99!</li></ul><p>The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs.</p>						</div>
				</div>
					</div>
		</div>
							</div>
		</section>
							</div><table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: Introduction to Statistics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to Statistics</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Measuring Central Tendency</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Measuring Central Tendency</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Measures of Dispersion</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Measures of Dispersion</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Correlation and Regression Analysis</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Correlation and Regression Analysis</td>
					<td> </td>
					<td><span><i></i> 00:35:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Probability</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Probability</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Sampling</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sampling</td>
					<td> </td>
					<td><span><i></i> 00:21:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Charts and Graphs</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Charts and Graphs</td>
					<td> </td>
					<td><span><i></i> 00:23:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Hypothesis Testing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Hypothesis Testing</td>
					<td> </td>
					<td><span><i></i> 00:25:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Ten Common Statistical Mistakes</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Ten Common Statistical Mistakes</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
				</tbody></table>

The Teachers Training

Certificate in Teaching Program (CTP)

Maths Teacher

Certificate in Education & Training (CET)

Further Education Teacher

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			<h2>Overview
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					<p><span>This comprehensive course on </span><b><span>Statistics Essentials</span></b> will deepen your understanding on this topic.</p><p><span><span>After successful completion of this course you can acquire the required skills in this sector. This </span><b>Statistics Essentials</b> comes with accredited certification, which will enhance your CV and make you worthy in the job market.</span></p><p><span><span>So enrol in this course today to fast track your career ladder.</span></span></p>					</div>
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			<h2>How will I get my certificate?</h2>		</div>
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					<p><span>At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price.</span></p>					</div>
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			<h2>Who is This course for?</h2>		</div>
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					<p>There is no experience or previous qualifications required for enrolment on this <strong>Statistics Essentials</strong>. It is available to all students, of all academic backgrounds.</p>					</div>
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			<h2>Requirements</h2>		</div>
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					<p><span>Our </span><b><span>Statistics Essentials</span></b> is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.</p><p><span><span>There is no time limit for completing this course, it can be studied in your own time at your own pace.</span></span></p>					</div>
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			<h2>Career Path</h2>		</div>
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					<p><span>Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business &amp; Management, Admin, Accountancy &amp; Finance, Secretarial &amp; PA, Teaching &amp; Mentoring etc.</span></p>					</div>
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					</div> <h3>Course Curriculum</h3><div><p>11 sections • 11 lectures • 02:19:00 total length</p></div><div><div><div><div><div><div><div><p>•Introduction to Statistics: 00:18:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Measuring Central Tendency: 00:18:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Measures of Dispersion: 00:11:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Correlation and Regression Analysis: 00:14:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Probability: 00:16:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Sampling: 00:19:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Charts and Graphs: 00:21:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Hypothesis Testing: 00:10:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Ten Common Statistical Mistakes: 00:12:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Assignment - Statistics Essentials: 00:00:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Order Your Certificate: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

<p><strong>This </strong><strong>Diploma in Statistics Essentials at QLS Level 4</strong><strong> course is endorsed by The Quality Licence Scheme and accredited by CPDQS</strong><strong> (with 120 CPD points</strong><strong>) </strong><strong>to make your skill development &amp; career progression more accessible than ever!</strong></p><p>Dive into the exciting world of statistics to solidify your understanding of numbers and take your career to the next level with our Statistics Essentials at QLS Level 4 course.</p><p>A proficient understanding of statistics can unlock numerous professional opportunities in the UK, because here, statistics specialists earn an average of <strong>£50,000 to £60,000 annually</strong>, and the demand for their skills continues to surge.</p><p>Our carefully curated course explores the core elements of statistics, presenting you with profound knowledge that helps you unravel complex data patterns. This course encompasses topics which are the core concepts of Statistics which help you better understand the subject.</p><p><strong>Don't miss this opportunity!</strong><strong>Choose the Statistics Essentials course today and set yourself on the trajectory of success in this burgeoning field!</strong></p><p><strong>Learning Outcomes:</strong></p><p>By the end of this Statistics Essentials course, learners will be able to:</p><ul><li>Understand fundamental concepts in statistics.</li><li>Calculate central tendency in data analysis with Statistics.</li><li>Utilize dispersion measures for data variability in Statistics.</li><li>Apply correlation and regression analysis in Statistics.</li><li>Apply probability theory practically with Statistics.</li><li>Master sampling principles and methods in Statistics.</li><li>Visualize data with charts and graphs in Statistics.</li></ul><p>This Statistics Essentials at QLS Level 4 training can help you accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence!</p><p><strong>Why Prefer This Statistics Essentials at QLS Level 4 Course?</strong></p><ul><li>Opportunity to earn a certificate endorsed by <strong>the Quality Licence Scheme</strong> &amp; another accredited by <strong>CPDQS </strong>which is completely free.</li><li>Get a <strong>free student ID card!</strong> (£10 postal charge will be applicable for international delivery)</li><li>Innovative and engaging content.</li><li>Free assessments</li><li>24/7 tutor support.</li></ul> <p><strong>Take a step toward a brighter future with the Extraordinary Statistics course!</strong></p><p><strong>*** Course Curriculum ***</strong></p><p>Here is the curriculum breakdown of the Statistics Essentials at QLS Level 4 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>Assessment Process</strong></p><p>You have to complete the assignment questions given at the end of this Statistics course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment.</p><p>You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the Diploma in Statistics Essentials at QLS Level 4 exams.</p> <h2>
        
        <div>CPD</div>
    </h2>

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                                        120 CPD hours / points
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                                            Accredited by CPD Quality Standards
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        <div>Who is this course for?</div>
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                            <p>This Statistics at QLS Level 4 course is perfect for highly motivated people like:</p><ul><li>Beginners in statistics</li><li>Data analysts</li><li>Researchers</li><li>Business professionals</li></ul>
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        <div>Requirements</div>
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                            <p><strong>Statistics</strong></p><p>No prior background or expertise is required to enrol in this Statistics course.</p>
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        <div>Career path</div>
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                            <p><strong>Statistics</strong></p><p>The Statistics Essentials at QLS Level 4 course will boost your CV and aims to help you get jobs like:</p><ul><li>Statistician</li><li>Business Analyst</li><li>Market Analyst</li></ul>
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        <div>Certificates</div>
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                                    <h4>CPDQS Accredited Certificate</h4>
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            Digital certificate -
            Included
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        <h4>Diploma in Statistics Essentials at QLS Level 4</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p><strong>Show off Your New Skills with a Certificate of Completion</strong></p><p>After successfully completing the <strong>Diploma in Statistics Essentials at QLS Level 4</strong>, you can order an original hardcopy certificate of achievement endorsed by <strong>the Quality Licence Scheme</strong> andalso you can order <strong>CPDQS</strong><strong>Accredited Certificate </strong>that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.</p> </div>

                        </div>

Level 4 Diploma in Statistics QLS Level 4

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Overview </b></span><span></span><br /></div></h2>		</div>
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				<p><span>From marketing to the IT industry, statistics is a skill that can bring many lucrative opportunities for you.you can learn this valuable skill set from the comfort of your home with our Online Statistics Training. This course will provide quality training and help you build your expertise in this area. </span></p><p><span>Through this course you will get the chance to master the essentials of statistics. The course will educate you on the basics of measuring central tendency and dispersion. Then, you will grasp the skills for correlation and regression analysis. In addition, the course will include lessons on probability, chart, graphs and sampling. You will acquire the strategies for hypothesis testing. </span></p><p><span>After the completion of the course, you will receive a CPD-accredited certificate. This certificate will prove your expertise in this area and enhance your resume. Join now!</span></p>					</div>
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				<ul><li><span>Understand the basic concepts of statistics </span></li><li><span>Know the essentials of measuring central tendency and dispersion </span></li><li><span>Build your expertise in correlation and regression analysis </span></li><li><span>Develop your skills in probability and sampling </span></li><li><span>Learn the principles of hypothesis testing </span></li></ul>					</div>
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			<h2><div><span><b>Why Take This Course From John Academy?
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				<ul><li><span>Affordable, well-structured and high-quality e-learning study materials</span></li><li><span>Engaging tutorial videos, materials from the industry-leading experts</span></li><li><span>Opportunity to study in a user-friendly, advanced online learning platform</span></li><li><span>Efficient exam systems for the assessment and instant result</span></li><li><span>Earn UK &amp; internationally recognised accredited qualification</span></li><li><span>Easily access the course content on mobile, tablet, or desktop from anywhere, anytime</span></li><li><span>Excellent career advancement opportunities</span></li><li><span>Get 24/7 student support via email.</span></li></ul>					</div>
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What Skills Will You Learn from This Course?
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				<ul><li><span>Correlation and regression analysis</span></li><li><span>Probability</span></li><li><span>Sampling</span></li><li><span>Hypothesis testing </span></li></ul>					</div>
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Who Should Take This Online Statistics Training?
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				<p><span>Whether you're an existing practitioner or an aspiring profession</span><span>al, this course will enhance your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge.</span></p>					</div>
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			<h2><div><span><b>Are There Any Entry Requirements?</b></span><span></span></div></h2>		</div>
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				<p><span>This</span><span> is available to all learners of all academic backgrounds. But learners should be aged 16 o</span><span>r over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful.</span></p>					</div>
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				<p></p><h3><b>Certificate of Achievement </b></h3>
    <p> After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates &amp; Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99.</p><p></p>					</div>
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				<p><span>This exclusive Online Statistics Training will equip you with effective skills and abilities and help you explore career paths such as </span></p><ul><li><span>Marketing Analyst</span></li><li><span>Statistician  </span></li><li><span>Financial Analyst</span></li><li><span>Cost Estimator </span></li><li><span>Data Analyst</span></li></ul>					</div>
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				</div><table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: Introduction To Statistics</td>
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					<td><i></i></td>
					<td>Introduction to Statistics</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
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					<td colspan="4">Module 02: Measuring Central Tendency</td>
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					<td><i></i></td>
					<td>Measuring Central Tendency</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
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					<td colspan="4">Module 03: Measures Of Dispersion</td>
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					<td><i></i></td>
					<td>Measures of Dispersion</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
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					<td colspan="4">Module 04: Correlation And Regression Analysis</td>
				</tr>
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					<td><i></i></td>
					<td>Correlation and Regression Analysis</td>
					<td> </td>
					<td><span><i></i> 00:35:00</span></td>
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					<td colspan="4">Module 05: Probability</td>
				</tr>
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					<td><i></i></td>
					<td>Probability</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
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					<td colspan="4">Module 06: Sampling</td>
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					<td><i></i></td>
					<td>Sampling</td>
					<td> </td>
					<td><span><i></i> 00:19:00</span></td>
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					<td colspan="4">Module 07: Charts And Graphs</td>
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					<td><i></i></td>
					<td>Charts and Graphs</td>
					<td> </td>
					<td><span><i></i> 00:21:00</span></td>
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					<td colspan="4">Module 08: Hypothesis Testing</td>
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					<td><i></i></td>
					<td>Hypothesis Testing</td>
					<td> </td>
					<td><span><i></i> 00:25:00</span></td>
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					<td colspan="4">Module 09: Ten Common Statistical Mistakes</td>
				</tr>
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					<td><i></i></td>
					<td>Ten Common Statistical Mistakes</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
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					<td colspan="4">Certificate and Transcript</td>
				</tr>
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					<td><i></i></td>
					<td>Order Your Certificates and Transcripts</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table>

John Academy

Online Course Creation

Teaching Online

Online Education

Online Statistics Training

<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>

Nexus Human

Microsoft Certification

Microsoft AZ-900

Microsoft AZ-104

Microsoft SC-200

Microsoft AZ-303

Microsoft AZ-700

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>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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					<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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					<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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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

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>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                             <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> 
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <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> 
                        </div>

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>

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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