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
Overview of Learn Linux in 5 Days The Learn Linux in 5 Days Course is designed to help you understand and use Linux, one of the most powerful operating systems used around the world. Today, Linux runs over 96% of the top one million web servers. Many companies in the UK are now choosing Linux and other open-source tools to save money and make their systems more secure. This course takes you from installing Linux to learning important commands that help you get things done faster and smarter. In the Learn Linux in 5 Days Course, you’ll learn step by step, starting with simple tasks like moving around files and folders. As you go through the lessons, you’ll move on to useful skills like handling running processes, setting up scheduled tasks, and managing system updates. Whether you're learning on a virtual machine at home or setting up a real server at work, this course gives you clear, hands-on training to build your confidence. There is a growing need for people who know how to work with Linux. In fact, UK tech jobs asking for Linux skills are growing 21% every year. The Learn Linux in 5 Days Course helps you stay ahead by teaching you how to work with file permissions, customise the shell, and manage software packages. With this course, Linux becomes simple, useful, and something you can learn in just a few days. By completing this Learn Linux in 5 Days, you will be able to: Move around the Linux file system and manage files with ease Use important command-line tools the right way Set file permissions and control who can access what Customise your shell environment and create your shortcuts Install and manage software on different Linux systems Set up scheduled tasks and manage running programs smoothly Who Should Take the Learn Linux in 5 Days Course IT workers who want to improve their system management skills and understand Linux better Total beginners who want to learn how Linux works and start using the command line in just 5 days Students studying cybersecurity, cloud computing, or web development who need Linux for their future careers Windows users curious about trying Linux using a virtual machine before making a full switch DevOps learners who want to build strong Linux skills for handling servers and automation Process of Evaluation After studying the Learn Linux in 5 Days 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 Certificate of Completion - Digital / PDF Certificate After completing the Learn Linux in 5 Days Course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. (Each) Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Requirements You don’t need any educational qualification or experience to enrol in the Learn Linux in 5 Days course. Career Path This Learn Linux in 5 Days Course will lead you to many different career opportunities. Here are a few prospects: Linux System Administrator – £35K to £65K per year DevOps Engineer – £45K to £85K per year Network Security Specialist – £40K to £70K per year Cloud Infrastructure Engineer – £50K to £80K per year Web Server Administrator – £32K to £60K per year Course Curriculum Unit 01: Overview Course Overview 00:03:00 Unit 02: Day 1 Background and Introduction 00:07:00 Linux Distributions 00:05:00 Installing VirtualBox on Windows 00:03:00 Installing VirtualBox on Mac 00:03:00 Installing Linux Using an Image for VirtualBox 00:05:00 VirtualBox Troubleshooting Tips 00:02:00 When to Install Linux from Scratch 00:15:00 Installing CentOS from Scratch / CentOS Manual Installation Process 00:23:00 Getting Connected 00:11:00 Connect Directly 00:02:00 Unit 03: Day 2 The Linux Directory Structure 00:10:00 The Shell 00:08:00 Basic Linux Commands 00:05:00 Teach Yourself to Fish 00:06:00 Working with Directories 00:09:00 Listing Files and Understanding LS Output 00:12:00 Unit 04: Day 3 File and Directory Permissions Explained - Part One 00:11:00 File and Directory Permissions Explained - Part Two 00:09:00 View Files and the Nano Editor 00:05:00 Editing Files in Vi 00:10:00 Editing Files with Emacs 00:06:00 Finding Files and Directories 00:07:00 Graphical Editors 00:04:00 Unit 05: Day 4 Deleting, Copying, Moving, and Renaming Files 00:11:00 Wildcards - Part One 00:05:00 Wildcards - Part Two 00:07:00 Input, Output, and Redirection 00:08:00 Comparing Files 00:04:00 Searching in Files and Using Pipes 00:10:00 Transferring and Copying Files over the Network 00:07:00 Customizing the Shell Prompt 00:05:00 Shell Aliases 00:04:00 Unit 06: Day 5 Environment Variables 00:08:00 Processes and Job Control 00:12:00 Scheduling Repeated Jobs with Cron 00:06:00 Switching Users and Running Commands as Others 00:08:00 Shell History and Tab Completion 00:13:00 Installing Software on RPM Based Linux Distros: RedHat, CentOS, AlmaLinux, Rocky 00:21:00 Installing Software on Debian Based Linux Distros: Debian, Ubuntu, Kali Linux 00:12:00 Conclusion - Congratulations and Thank You! 00:01:00 Unit 07: Addendum - Connecting to a Linux Virtual Machine over the Network Connecting to a Linux Virtual Machine over the Network 00:11:00 Unit 08: Bonus Bonus - Installing NGINX, MySQL, PHP, and WordPress on Ubuntu 00:09:00 Unit 09: Resources Resources 00:15:00
This course is designed to help you master the concepts of JavaScript needed to create interactive web games. You will create five interesting word games that will teach you how to write and test the game code in JavaScript.
Anti-Money Laundering (AML): This comprehensive Anti-Money Laundering (AML) course is designed for individuals interested in safeguarding organizations against financial crime. Through up-to-date knowledge and practical guidance, you will be trained in the essential skills required to identify and prevent suspicious activities within any organization. With step-by-step instructions on conducting client risk assessments, this course equips you with a strong foundation in AML procedures.
According to estimates, when businesses make decisions based on data and statistics, their productivity rises by 5%. As a result, the demand for analytical talents is growing as the world gets more and more data-driven. This Statistical Analysis course teaches you how to use data to make decisions, gain business insights, and forecast trends, giving you a competitive edge in any industry. Large-scale data collection, exploration, and presentation to identify underlying patterns and trends are known as statistical analysis. Every day, statistics are used in studies, business, and government to help make decisions more scientifically. For example, when introducing new products to the market, statistical analysis can offer helpful information for decision-making. Analysis can be performed to identify the product's trustworthy markets and forecast sales and demand. Additionally, it might be beneficial in choosing the ideal launch window. This course will improve your ability to make smarter, more impactful decisions in a fast-paced and uncertain world. It will help you to extract strategic business insights and use modelling to predict future trends. It will also help you with your data visualisation skills with which to communicate your findings. So enrol in the Statistical Analysis course and gain vital skills to start a successful career. Learning Outcomes: Understand how data-driven models can improve your decisions. Gain data analysis skills that you can apply in your role and organisation. Learn to assess the reliability of data, extract strategic business insights, and use modelling to predict future trends. Know about data visualisation skills with which to communicate your findings to all stakeholders. Learn about probability, binomial and normal distributions. Get to know the basic statistical terms. Why Prefer This Statistical Analysis Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme & another certificate accredited by CPD QS after completing the Statistical Analysis course Get a free student ID card! (£10 postal charges will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. Take a step toward a brighter future! *** Course Curriculum *** Here is the curriculum breakdown of the Statistical Analysis course: Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Assessment Process You have to complete the assignment questions given at the end of the 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. After passing the Diploma in Statistical Analysis at QLS Level 5 course exam, you will be able to request a certificate at an additional cost that has been endorsed by the Quality Licence Scheme. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this Statistical Analysis course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. Career path This Statistical Analysis course is meant to introduce statistical analysis. In the UK, statistical analysts make, on average, £35,817 per year. You will be able to significantly demonstrate your new skills and statistical knowledge. This can benefit you regarding job applications, professional advancement, and personal mastery. Certificates Certificate Accredited by CPD QS Digital certificate - £10 Diploma in Statistical Analysis at QLS Level 5 Hard copy certificate - £119 Show off Your New Skills with a Certificate of Completion Endorsed Certificate of Achievement from the Quality Licence Scheme After successfully completing the Diploma in Statistical Analysis at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 119 GBP inside the UK 129 GBP (including postal fees) for International Delivery Certificate Accredited by CPD QS Upon finishing the Statistical Analysis course, you need to order to receive a Certificate Accredited by CPD QS that is accepted all over the UK and also internationally. The pricing schemes are: 10 GBP for Digital Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)
Are you ready to embark on an enlightening journey of wisdom with the Big Data bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our course bundle - Big Data : Data Science, Data Analytics & Data Visualisation. Delve into eight immersive CPD Accredited courses, each a standalone course: Big Data Analytics with PySpark Power BI and MongoDB Big Data Analytics with PySpark Tableau Desktop and MongoDB Building Big Data Pipelines with PySpark MongoDB and Bokeh Develop Big Data Pipelines with R & Sparklyr & Tableau Develop Big Data Pipelines with R, Sparklyr & Power BI Basic Data Analysis SQL for Data Science, Data Analytics and Data Visualization Complete Python Machine Learning & Data Science Fundamentals Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the Big Data : Data Science, Data Analytics & Data Visualisation bundle illuminate your path to wisdom. The Big Data : Data Science, Data Analytics & Data Visualisation bundle offers a comprehensive exploration into a rich tapestry of vast knowledge across eight carefully curated courses. The journey is designed to enhance your understanding and critical thinking skills. Each course within the bundle provides a deep-dive into complex theories, principles, and frameworks, allowing you to delve into the nuances of the subject matter at your own pace. In the framework of the Big Data : Data Science, Data Analytics & Data Visualisation package, you are bestowed with complimentary PDF certificates for all the courses included in this bundle, all without any additional charge. Adorn yourself with the Big Data bundle, empowering you to traverse your career trajectory or personal growth journey with self-assurance. Register today and ignite the spark of your professional advancement! So, don't wait further and join the Big Data : Data Science, Data Analytics & Data Visualisation community today and let your voyage of discovery begin! Learning Outcomes: Attain a holistic understanding in the designated areas of study with the Big Data bundle. Establish robust bases across each course nestled within the Big Data bundle. Decipher intricate concepts through the articulate content of the Big Data bundle. Amplify your prowess in interpreting, scrutinising, and implementing theories. Procure the capacity to engage with the course material on an intellectual and profound level. Become proficient in the art of problem-solving across various disciplines. Stepping into the Big Data bundle is akin to entering a world overflowing with deep theoretical wisdom. Each course within this distinctive bundle is an individual journey, meticulously crafted to untangle the complex web of theories, principles, and frameworks. Learners are inspired to explore, question, and absorb, thus enhancing their understanding and honing their critical thinking skills. Each course invites a personal and profoundly enlightening interaction with knowledge. The Big Data bundle shines in its capacity to cater to a wide range of learning needs and lifestyles. It gives learners the freedom to learn at their own pace, forging a unique path of discovery. More than just an educational journey, the Big Data bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world. The Big Data bundle also illuminates the route to a rewarding career. The theoretical insight acquired through this bundle forms a strong foundation for various career opportunities, from academia and research to consultancy and programme management. The profound understanding fostered by the Big Data bundle allows learners to make meaningful contributions to their chosen fields. Embark on the Big Data journey and let knowledge guide you towards a brighter future. CPD 85 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals keen on deepening their firm understanding in the respective fields. Students pursuing higher education looking for comprehensive theory modules. Professionals seeking to refresh or enhance their knowledge. Anyone with a thirst for knowledge and a passion for continuous learning. Career path Armed with the Big Data bundle, your professional journey can reach new heights. The comprehensive theoretical knowledge from this bundle can unlock diverse career opportunities across several fields. Whether it's academic research, consultancy, or programme management, the Big Data bundle lays a solid groundwork. Certificates CPD Certificate Of Completion Digital certificate - Included 8 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript - £9.99
Ready to sharpen your JavaScript logic and creativity in one go? This course is designed to guide learners through building a complete Bank Customer Page using JavaScript – focusing purely on front-end interactions, event handling, DOM manipulation, and code structuring. With this project-focused approach, you’ll follow along step-by-step to bring together various JavaScript functions into a single cohesive interface that mimics online banking features. This course is for those who want to bridge the gap between knowing JavaScript syntax and applying it within a meaningful coding structure. The lessons are paced smartly – no flashy jargon, no unnecessary fluff. Just you, your code, and clear project goals. As you work through building features like login simulation, deposit/withdraw interfaces, and user validation—all through JavaScript—you’ll begin to see how various concepts link together. Whether you're brushing up your front-end development skills or wanting to see how JavaScript works outside the console, this course keeps things clear, focused, and enjoyable. Every module adds a puzzle piece—giving you a solid mental model for coding user-facing features in JavaScript. Learning outcomes: Develop a complete web application using HTML, CSS, and JavaScript Learn to use AJAX to fetch data from the server Implement login and signup functionality Create a user dashboard with transaction history and account details Understand the concepts of REST API and API integration with JavaScript The "Hands On JavaScript Project - Bank Customer Page" is a comprehensive course designed to help you learn how to develop a complete web application using HTML, CSS, and JavaScript. The course covers everything from the basics of HTML and CSS to advanced topics like AJAX, REST API integration, and user authentication. You'll start by learning the fundamentals of HTML and CSS and then move on to JavaScript and jQuery. The course also covers topics like AJAX, REST API integration, and user authentication. By the end of the course, you will have developed a complete web application with a user dashboard, transaction history, and account details. Hands On JavaScript Project - Bank Customer Page Course Curriculum Section 01: Introduction Introduction to Javascript Project Javascript Content Section 02: Javascript Project Javascript Project Part 1 Javascript Project Part 2 Javascript Project Part 3 Javascript Project Part 4 Javascript Project Part 5 Javascript Project Part 6 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? Anyone who wants to learn web development using JavaScript Students who want to build a career in web development Experienced developers who want to expand their knowledge of JavaScript Entrepreneurs who want to develop their own web applications Anyone who wants to create a fully-functional banking web application Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Junior Front-End Developer: £20,000 - £30,000 per year Front-End Developer: £30,000 - £50,000 per year Senior Front-End Developer: £50,000 - £80,000 per year Web Development Team Leader: £80,000 - £120,000 per year Chief Technology Officer (CTO): £120,000+ per year 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.
JavaScript isn't just for fancy buttons and dropdown menus anymore. It's the backbone of modern web development and a powerful tool for crafting stunning, dynamic visual stories. This course takes you on a journey through JavaScript’s core features and then introduces you to the art of data visualisation—turning raw information into meaningful, interactive charts and graphics. Whether you're looking to sharpen your programming knowledge or want to make data a little less dull, this course keeps things sharp, smart, and structured. From plotting simple graphs to building responsive dashboards, you'll explore how JavaScript pairs beautifully with libraries like D3.js and Chart.js. Everything is broken down into digestible sections—no fluff, no filler, just the essentials taught with a touch of wit and clarity. You don’t need to be a coding wizard to join in, just a willingness to learn and a screen to learn it on. This is where data gets a makeover, and JavaScript shows off its creative side. 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: Introduction Getting Started Introduction to Getting Started Course Curriculum How to Get Pre-Requisites Getting Started on Windows, Linux or Mac How to ask a Great Questions FAQ's Setting up Local Development Environment What is JavaScript Choosing Code Editor Installing Code Editor(Sublime Text) Installing Code Editor(Visual Studio Code) Hello World Program Getting Output Summary JavaScript Fundamentals Introduction Internal JavaScript External JavaScript Inline JavaScript Async and defer Variables Data Types Numbers Boolean Arrays() Objects Comments Summary Strings Introduction Strings String Formatting String Methods Summary Operators Introduction Arithmetic operators Assignment operators Comparison operators Logical operators Summary Conditional Statements Introduction If statement If-else statement If-else-if statement Switch-case statement Summary Control Flow Statements Introduction While loop Do-while loop For loop Break Continue Coding Exercise Solution for Coding Exercise Summary Functions Introduction Creating a Function Function Call() Function with parameters Function Bind() Summary Data Visualization (Google Chart) Introduction How to Use Google chart script Line Graph chart Scatter plots chart Bar chart Pie chart 3D Pie chart Summary Error Handling Introduction Try-catch Try-catch-finally Summary Client-side Validations Introduction On Submit Validation Input Numeric Validation Login Form Validation Password Strength Check Validation Summary Course Assessment To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. 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 Master JavaScript with Data Visualization 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 Master JavaScript with Data Visualization course is open to all, with no formal entry requirements. Career path Upon successful completion of the Master JavaScript with Data Visualization Course, learners will be equipped with many indispensable skills and have the opportunity to grab.
Ready to make numbers make sense? This Hands-on JavaScript Project – Loan Payment Calculator Course is your gateway into applying JavaScript in a refreshingly clear and engaging way. You'll build a functional loan payment calculator that’s not only sleek but smart, helping you put your coding confidence to the test through structured project development. Whether you're brushing up your JavaScript skills or putting them to fresh use, this course walks you through every step without a hint of fuss or fluff. You won’t be buried in jargon or left staring at confusing code dumps. Instead, expect straight-talking guidance, relatable examples, and a project that speaks to real financial logic—designed for browsers, not boardrooms. With JavaScript as your toolkit, you’ll create something genuinely useful, while gaining a firmer grasp on coding structure, functions, user input handling, and DOM manipulation. If the idea of writing scripts that do something excites you more than coding trivia, then this one’s definitely for you. Learning Outcomes: Learn how to create a loan payment calculator using JavaScript and HTML/CSS. Gain hands-on experience with JavaScript and web development. Understand the basics of installing Eclipse and creating an HTML page with CSS. Learn how to add validation on loan payment fields, interest, and period. Gain the skills and confidence to create your own web-based applications. The Hands on JavaScript Project - Loan Payment Calculator course is designed to provide you with hands-on experience in creating a loan payment calculator using JavaScript and HTML/CSS. From installing Eclipse and creating an HTML page with CSS to adding validation on loan payment fields and computing button logic, this course covers everything you need to know to build your own loan payment calculator. With our step-by-step approach and hands-on exercises, you'll gain the skills and confidence to create your own web-based applications. Hands on JavaScript Project - Loan Payment Calculator Course Curriculum Section 01: Introduction Introduction to Loan Payments Calculator Explaining Case Study Problem Section 02: Installation How to install Eclipse Create HTML Page with CSS Added Validation on Loan Payment Field Section 03: Validation and Button Adding Validation on Interest Adding Validation on Period Adding Compute Button Logic Adding Compute Button Logic Continue How to Call External Javascript File 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? Web developers who want to gain hands-on experience with JavaScript and web development. Students who want to learn how to create a loan payment calculator and gain experience with web development. Entrepreneurs who want to create their own loan payment calculator for their business. Anyone who wants to explore the world of web development and expand their knowledge of JavaScript. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Front End Developer: £24,000 - £55,000 Full Stack Developer: £30,000 - £75,000 Web Application Developer: £28,000 - £65,000 Senior Web Developer: £40,000 - £90,000 Technical Lead: £50,000 - £100,000 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.