If you've ever wondered how websites come to life in your browser, this Front End Web Development Training is your ideal introduction. Whether you're new to coding or brushing up on your knowledge, this course walks you through the essential languages of the web—HTML, CSS, and JavaScript—with clarity, structure, and a touch of digital charm. You’ll gain insight into how websites are built, styled, and made interactive, all from the comfort of your own screen. Built with beginners in mind but welcoming to all curious minds, the course breaks down web development into manageable, engaging sections. It’s tailored to help you understand the building blocks of the internet without overwhelming jargon or confusing detours. From creating simple layouts to adding life with animations and scripts, each module nudges you further into the world of modern web design. If your goal is to confidently understand what goes into building a page, this training might just become your favourite browser tab. Learning Outcomes: Understanding of the complete front-end development process Knowledge of cascading style sheets and transitions Ability to work with advanced JavaScript features Familiarity with JQuery and selectors Understanding of Bootstrap and grid system for responsive design The Front End Web Development Training for Everyone is a comprehensive course designed to provide individuals with the skills and knowledge needed to develop professional front-end websites. This course covers a range of topics, including cascading style sheets, advanced JavaScript, JQuery, Bootstrap, and grid system. Participants will also learn how to create portfolio pages and other interactive designs. This course is suitable for anyone who wants to learn front-end web development, including beginners and professionals who want to expand their skills. With this course, participants will gain a solid foundation in front-end development and be able to build responsive websites that are accessible across various devices. Front End Web Development Training for Everyone Course Curriculum Section 01: Complete Front-End Development Journey Section 02: Cascading style sheets Section 03: Transitions and Data Types Section 04: Advanced JavaScript and Its Features Section 05: JQuery and Selectors Section 06: Bootstrap and Grid System Section 07: Creating Portfolio Page How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals who want to learn the basics of front-end web development and enhance their knowledge and skills Professionals who are looking to switch their careers to front-end web development Business owners who want to develop their own website or manage their existing website Freelancers who want to offer front-end web development services to their clients Students who want to learn front-end web development as a part of their curriculum or as a hobby. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Front-end Developer: £20,000 - £60,000 UI/UX Designer: £22,000 - £70,000 Web Designer: £18,000 - £50,000 Web Developer: £22,000 - £70,000 Full Stack Developer: £30,000 - £90,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.
Dive into the heart of Big Data Infrastructure, exploring storage systems, distributed file frameworks, and processing paradigms. This course provides a comprehensive understanding of key components like HDFS, Apache Spark, and Cassandra, offering insights into their architecture, use cases, and real-world applications. This course is a deep dive into the complex landscape of Big Data Infrastructure. From unravelling the architecture of Apache Spark to dissecting the benefits of distributed file systems, participants gain expertise in assessing, comparing, and implementing various Big Data storage and processing systems. Scalability, fault-tolerance, and industry-specific case studies add practical depth to theoretical knowledge. After the successful completion of this course, you will be able to: Understand the Components of Big Data Infrastructure, Including Storage Systems, Distributed File Systems, and Processing Frameworks. Identify the Characteristics and Benefits of Distributed File Systems Such as Hadoop Distributed File System (H.D.F.S). Describe the Architecture and Capabilities of Apache Spark and its Role in Big Data Processing. Recognise the Use Cases and Benefits of Apache Cassandra as a Distributed N..O.S.Q.L Database. Compare and Contrast Different Big Data Storage and Processing Systems Such as Hadoop, Spark, and Cassandra. Understand the Scalability and Fault-tolerance Mechanisms Used in Big Data Infrastructure, Such as Sharding and Replication. Appreciate the Challenges Associated with Deploying and Managing Big Data Infrastructure, Such as Hardware and Software Configuration and Security Considerations. Explore the intricacies of Big Data Infrastructure, from understanding storage systems to unraveling the nuances of distributed file frameworks and processing engines. Gain a comprehensive view of scalability, fault-tolerance mechanisms, and industry-specific challenges through engaging case studies. Equip yourself to navigate the dynamic landscape of Big Data with confidence and expertise. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Big Data Infrastructure Self-paced pre-recorded learning content on this topic. Big Data Infrastructure Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be an added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone who is eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Big Data Infrastructure Engineer Hadoop Administrator Spark Developer Cassandra Database Administrator Big Data Solutions Architect Data Infrastructure Manager NoSQL Database Analyst Big Data Consultant Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.
Data speaks volumes—if you know how to listen. This course offers a clever route into the world of MySQL, showing you how structured data can turn into smart decisions. Whether you're sifting through figures, building dashboards, or deciphering patterns, understanding SQL isn’t just helpful—it’s essential. You’ll be guided through the foundations of MySQL with clarity and precision, making sense of tables, queries, joins, and more—all without the fluff or confusion. Designed with the analytical mind in focus, this course shines a light on how MySQL powers insights behind the scenes in data science and analytics. It's tailored for learners who prefer clarity over jargon and structure over noise. If you're curious about how databases work and how data fuels smart outcomes, this course is your ideal stepping stone—organised, engaging and purposefully built for those who appreciate logic and clean learning paths. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Course Curriculum: Section 01: Getting Started Introduction How to get course requirements Getting started on Windows, Linux or Mac How to ask great questions FAQ's What is Source Code? Section 02: SQL Server setting up Section Introduction MySQL Server Installation Connect MySQL Server Instance MySQL Workbench overview Download and Restore Sample Database Section 03: SQL Database basics Section Introduction Overview of Databases Creating Database SQL Data Types Column Data Types on Workbench Creating Table Overview of Primary and Foreign Key Primary Key Foreign Key Creating Temporary tables EER - Enhanced Entity Relationship Diagrams Section 04: SQL DML (Data Manipulation Language) Section Introduction Insert statement Update statement Delete statement Section 05: SQL DDL (Data Definition Language) Section Introduction CREATE table statement DROP statement ALTER statement TRUNCATE statement COMMENT in query RENAME table Section 06: SQL DCL (Data Control Language) Create Database user GRANT permissions REVOKE permissions Section 07: SQL Statement Basic Section Introduction SQL Statement basic SELECT Statement SELECT DISTINCT SELECT with column headings Column AS statement DASHBOARD Analytics Section 08: Filtering Data rows SELECT WHERE Clause - theory SELECT WHERE Clause - practical Section 09: Aggregate functions for Data Analysis Sum() Min()-Max() Section 10: SQL Data Analyticstatements Order By statement SELECT TOP 3 records BETWEEN command IN operator Search Data usingLIKE cards Section 11: SQL Group by statement Section Introduction Group by - theory Data Analytics with Group By HAVING statement Section 12: JOINS Overview of Joins What are Joins Inner join Left outer join Right outer join Union CERTESIAN Product or Cross Join Query Exercise Solution for Query Exercise Section 13: SQL Constraints Section introduction Check constraint NOT NULL constraint UNIQUE constraint Section 14: Views Creating Views Data Analytic Viewsfrom multiple tables Section 15: Advanced SQL Functions Section Introduction Timestamp Extract from timestamp Mathematical scalar functions String functions Advanced functions Sub Queries SELECT with calculations Section 16: SQL Stored procedures Create stored procedure Stored procedure with parameter Drop Procedure Section 17: Import & Export data Section Introduction Import .csv file Export Data to .csv file Section 18: Backup and Restore Database Section Introduction Creating Database backup Restoring Database backup Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). Who is this course for? This Learn MySQL from Scratch for Data Science and Analytics course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Learn MySQL from Scratch for Data Science and Analytics course is open to all, with no formal entry requirements. Career path Upon successful completion of The Learn MySQL from Scratch for Data Science and Analytics Course, learners will be equipped with many indispensable skills and have the opportunity to grab.
The Project Manager's Value Add through Artificial Intelligence Do you know that Artificial Intelligence (AI) is all around you? Today, even small projects have more data than a project manager can effectively trend or digest. Artificial Intelligence can help you today. Implementing AI on a project and understanding how to use it effectively makes you a value add over those that do not use it. Project managers are leaders and leaders do what is best for the team. Artificial Intelligence will assist in demonstrating your value as a leader. The future of AI and projects is only bound by the imagination. What You Will Learn: How to use Artificial Intelligence on a project• It is not understanding 1s and 0s, it is understanding how to use AI How to get AI implemented on a project• AI and the future of project management
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In the ever-evolving world of production, ensuring impeccable quality is paramount. 'Product Testing Protocols for Quality Assurance' offers a comprehensive dive into the methodologies and strategies vital for ensuring stellar product quality. Starting with the rudiments of product testing, the course delves deep into varied test types, utilising tools effectively, deciphering results, and the significance of adhering to global standards. With a robust curriculum encompassing everything from failure prevention to continuous improvement, this course is a passport to mastering the nuances of quality assurance in product testing. Learning Outcomes Understand the foundational principles of product testing. Identify and differentiate between various types of product tests. Master the art of designing and conducting product tests efficiently. Analyse and interpret testing outcomes to drive product quality. Recognise the importance of compliance, and adopt strategies for ongoing enhancement in product testing. Why buy this Product Testing Protocols for Quality Assurance? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Product Testing Protocols for Quality Assurance for? Quality assurance analysts and enthusiasts. Manufacturers keen on refining their product quality. Product developers aiming for benchmark quality standards. Team leaders responsible for product validation. Start-up founders launching new products and wishing to ensure top-notch quality. Career path Quality Assurance Analyst: £25,000 - £40,000 Product Testing Engineer: £30,000 - £50,000 Compliance Officer: £28,000 - £45,000 Quality Control Manager: £35,000 - £60,000 Product Development Specialist: £32,000 - £55,000 Continuous Improvement Manager: £40,000 - £70,000 Prerequisites This Product Testing Protocols for Quality Assurance does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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. Certification 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. Course Curriculum Module 1: Introduction to Product Testing Introduction to Product Testing 00:11:00 Module 2: Types of Product Tests Types of Product Tests 00:16:00 Module 3: Planning and Executing Product Tests Planning and Executing Product Tests 00:15:00 Module 4: Testing Tools and Equipment Testing Tools and Equipment 00:10:00 Module 5: Interpreting Test Results Interpreting Test Results 00:11:00 Module 6: Compliance and Standards Compliance and Standards 00:09:00 Module 7: Preventing Failure and Surprises Preventing Failure and Surprises 00:14:00 Module 8: Communicating Test Results Communicating Test Results 00:18:00 Module 9: Continuous Improvement Through Testing Continuous Improvement Through Testing 00:10:00
Dive into the digital realm with our 'Basic HTML 5' course. Engage with an exciting curriculum crafted meticulously to guide learners through the foundational concepts, starting with the rudiments of HTML and culminating with intricate CSS implementations. Whether you aim to mould webpages or breathe life into them with stunning designs, our content-rich modules unravel the secrets of web development in a structured manner. Learning Outcomes Understand the foundational principles of HTML and its significance in web development. Identify and employ various layout and inline elements effectively. Differentiate and utilise specific elements tailored for specific tasks. Grasp the essentials of CSS, laying the groundwork for advanced styling techniques. Implement and customise navigation styles, mastering the art of web aesthetics. Why buy this Basic HTML 5 course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Basic HTML 5 there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Basic HTML 5 course for? Beginners eager to embark on their web development journey. Design enthusiasts keen to integrate HTML with aesthetics. Bloggers and content creators aiming for a personalised web presence. Tech aficionados looking to understand web design basics. Entrepreneurs wishing to gain insights into website structuring. Prerequisites This Basic HTML 5 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Basic HTML 5 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. Career path Web Developer: £30,000 - £50,000 Front-end Developer: £28,000 - £48,000 UI Designer: £32,000 - £52,000 Content Strategist: £29,000 - £49,000 Website Tester: £27,000 - £47,000 Digital Marketer: £26,000 - £46,000 Course Curriculum Basic HTML 5 Section 01: HTML Introduction 00:04:00 Section 02: Layout and Elements 00:09:00 Section 03: Inline Elements 00:07:00 Section 04: Specific Elements 00:05:00 Section 05: CSS Introduction 00:02:00 Section 06: CSS Implementation 00:07:00 Section 07: CSS Elements 00:03:00 Section 08: Borders and Backgrounds 00:10:00 Section 09: Navigation Styling 00:07:00 Section 10: Tips and Tricks 00:06:00 Assignment Assignment - Basic HTML 5 00:00:00
Embark on a Coding Odyssey: Unleash Your Potential with Embedded C Programming Course Dive into the heart of programming as we unveil the mysteries of Embedded C in our comprehensive course designed for both novices and coding enthusiasts. 'Embedded C Programming Course' is your passport to a world of limitless possibilities. From mastering the basics of C to navigating conditional executions, loops, arrays, pointers, and functions, this course is your roadmap to fluency in the language of coding. Our interactive modules, led by seasoned instructors, ensure that each concept is not just understood but absorbed, making your coding journey both engaging and effective. Learning Outcomes Acquire a solid foundation in C programming, from installing it on your computer to understanding characters and integers. Navigate conditional executions and loops with confidence, mastering if conditions, switch cases, for loops, and while loops. Delve into the intricacies of arrays, including creation, manipulation, and working with character arrays. Unlock the power of pointers, comprehending their role and functionality in the coding realm. Master the art of using functions, including global variables, returning values via pointers, and efficiently passing arrays. Why choose this Embedded C Programming Course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Embedded C Programming Course for? Aspiring programmers eager to delve into the world of embedded systems. Computer science students seeking a practical understanding of C programming. Tech enthusiasts looking to enhance their coding skills. Professionals aiming to pivot into embedded systems development. Individuals curious about the mechanics of conditional executions, loops, arrays, pointers, and functions in C programming. Career path Embedded Systems Developer: £30,000 - £60,000 C Programmer: £25,000 - £45,000 Software Engineer: £35,000 - £65,000 Firmware Developer: £40,000 - £70,000 Systems Architect: £45,000 - £75,000 Technical Consultant: £50,000 - £80,000 Prerequisites This Embedded C Programming Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Embedded C Programming Course 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. Certification 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. Course Curriculum Getting Started with C Install C on your computer 00:08:00 Addition of Numbers 00:10:00 Accepting Inputs with Scanf in C 00:05:00 Understanding Characters and Int in C 00:13:00 Division and MOD operators in C 00:06:00 Conditional Executions and Loops If Condition: Part 1 00:12:00 If Condition: Part 2 00:04:00 If Condition: Part 3 00:10:00 Switch Case 00:13:00 For Loop in C: Part 1 00:10:00 For Loop in C: Part 2 00:06:00 While Loop 00:08:00 Arrays in C Arrays: Part 1 00:12:00 Arrays: Part 2 00:09:00 Array Programs: Part 1 00:08:00 Array Programs: Part 2 00:12:00 Character Array in C 00:14:00 Character Array in C: Part 2 00:13:00 Character Array in C: Part 3 00:09:00 Convert int to String Array 00:11:00 Pointers and Functions Pointers: Part 1 00:17:00 Pointers: Part 2 00:09:00 Pointers: Part 3 00:08:00 Functions: Part 1 00:09:00 Functions: Part 2 00:09:00 Functions: Part 3 00:11:00 Functions: Part 4 00:10:00 Functions: Returning values via pointers 00:12:00 Functions: Global Variables and usage with functions 00:13:00 Passing Array to functions 00:06:00 Passing Char array (strings) to Functions 00:16:00 Downloadable Resources Resource - Embedded C Programming Course 00:00:00
Do you want to master the essential mathematical skills for data science and machine learning? Do you want to learn how to apply statistics and probability to real-world problems and scenarios? If yes, then this course is for you! In this course, you will learn the advanced concepts and techniques of statistics and probability that are widely used in data science and machine learning. You will learn how to describe and analyse data using descriptive statistics, distributions, and probability theory. You will also learn how to perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data. You will gain hands-on experience with practical exercises and projects using Python and R. Learning Outcomes By the end of this course, you will be able to: Apply descriptive statistics, distributions, and probability theory to summarise and visualise data Perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data Use Python and R to implement statistical and machine learning methods Interpret and communicate the results of your analysis using appropriate metrics and visualisations Solve real-world problems and scenarios using statistics and probability Why choose this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course for? This course is for anyone who wants to learn the advanced concepts and techniques of statistics and probability for data science and machine learning. This course is suitable for: Data scientists, machine learning engineers, and analysts who want to enhance their skills and knowledge Students and researchers who want to learn the mathematical foundations of data science and machine learning Professionals and managers who want to understand and apply data-driven decision making Hobbyists and enthusiasts who want to explore and learn from data Anyone who loves statistics and probability and wants to challenge themselves Career path Data Scientist (£35,000 - £55,000) Machine Learning Engineer (£40,000 - £60,000) Statistician (£35,000 - £55,000) Data Analyst (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Data Analyst (£50,000 - £70,000) Prerequisites This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 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. Certification 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Section 01: Let's get started Welcome! 00:02:00 What will you learn in this course? 00:06:00 How can you get the most out of it? 00:06:00 Section 02: Descriptive statistics Intro 00:03:00 Mean 00:06:00 Median 00:05:00 Mode 00:04:00 Mean or Median? 00:08:00 Skewness 00:08:00 Practice: Skewness 00:01:00 Solution: Skewness 00:03:00 Range & IQR 00:10:00 Sample vs. Population 00:05:00 Variance & Standard deviation 00:11:00 Impact of Scaling & Shifting 00:19:00 Statistical moments 00:06:00 Section 03: Distributions What is a distribution? 00:10:00 Normal distribution 00:09:00 Z-Scores 00:13:00 Practice: Normal distribution 00:04:00 Solution: Normal distribution 00:07:00 Section 04: Probability theory Intro 00:01:00 Probability Basics 00:10:00 Calculating simple Probabilities 00:05:00 Practice: Simple Probabilities 00:01:00 Quick solution: Simple Probabilities 00:01:00 Detailed solution: Simple Probabilities 00:06:00 Rule of addition 00:13:00 Practice: Rule of addition 00:02:00 Quick solution: Rule of addition 00:01:00 Detailed solution: Rule of addition 00:07:00 Rule of multiplication 00:11:00 Practice: Rule of multiplication 00:01:00 Solution: Rule of multiplication 00:03:00 Bayes Theorem 00:10:00 Bayes Theorem - Practical example 00:07:00 Expected value 00:11:00 Practice: Expected value 00:01:00 Solution: Expected value 00:03:00 Law of Large Numbers 00:08:00 Central Limit Theorem - Theory 00:10:00 Central Limit Theorem - Intuition 00:08:00 Central Limit Theorem - Challenge 00:11:00 Central Limit Theorem - Exercise 00:02:00 Central Limit Theorem - Solution 00:14:00 Binomial distribution 00:16:00 Poisson distribution 00:17:00 Real life problems 00:15:00 Section 05: Hypothesis testing Intro 00:01:00 What is a hypothesis? 00:19:00 Significance level and p-value 00:06:00 Type I and Type II errors 00:05:00 Confidence intervals and margin of error 00:15:00 Excursion: Calculating sample size & power 00:11:00 Performing the hypothesis test 00:20:00 Practice: Hypothesis test 00:01:00 Solution: Hypothesis test 00:06:00 T-test and t-distribution 00:13:00 Proportion testing 00:10:00 Important p-z pairs 00:08:00 Section 06: Regressions Intro 00:02:00 Linear Regression 00:11:00 Correlation coefficient 00:10:00 Practice: Correlation 00:02:00 Solution: Correlation 00:08:00 Practice: Linear Regression 00:01:00 Solution: Linear Regression 00:07:00 Residual, MSE & MAE 00:08:00 Practice: MSE & MAE 00:01:00 Solution: MSE & MAE 00:03:00 Coefficient of determination 00:12:00 Root Mean Square Error 00:06:00 Practice: RMSE 00:01:00 Solution: RMSE 00:02:00 Section 07: Advanced regression & machine learning algorithms Multiple Linear Regression 00:16:00 Overfitting 00:05:00 Polynomial Regression 00:13:00 Logistic Regression 00:09:00 Decision Trees 00:21:00 Regression Trees 00:14:00 Random Forests 00:13:00 Dealing with missing data 00:10:00 Section 08: ANOVA (Analysis of Variance) ANOVA - Basics & Assumptions 00:06:00 One-way ANOVA 00:12:00 F-Distribution 00:10:00 Two-way ANOVA - Sum of Squares 00:16:00 Two-way ANOVA - F-ratio & conclusions 00:11:00 Section 09: Wrap up Wrap up 00:01:00 Assignment Assignment - Statistics & Probability for Data Science & Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00