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IT Bundle – 5 in 1
This IT bundle comes with 5 online courses.
Created By
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Learning Outcome
- Learn to build beautiful, responsive and professional websites
- Know the fundamentals of web design
- Explore the basics of JavaScript programming
- Get the overview of the WordPress course and resources for web hosting
- Learn how to become a data scientist, data engineer, data analyst or consultant
- Learn how to clean, process, wrangle, and manipulate data
Course Overview
In the IT industry, there are endless possibilities for growth and innovation. In our IT Bundle, you’ll learn five essential skills you need to succeed in the digital age. It comes with the following 5 courses:
- Web Development (HTML, CSS, SaaS, NPM)
- JavaScript from Scratch
- WordPress from Scratch
- Data Science and Machine Learning with R and,
- Python for Data Science and Machine Learning.
The bundle provides a solid foundation and practical knowledge in various IT domains for beginners and aspiring data scientists. You’ll learn basic web development skills, master JavaScript, explore data science, and learn machine learning with this bundle.
Course Description
This course is an excellent learning opportunity for those who are passionate about the topic and who are interested in a successful career within the relevant industry. Professionals currently working in this field who wish to brush up on their knowledge and advance their careers may also enrol in this program.
In the IT Bundle – 5 in 1 Course, you will find a number of engaging, in-depth modules that will provide you with comprehensive theoretical knowledge that will enable you to succeed in your career. As proof of your completion, you will receive a free e-certificate from Learndrive.
Using computers, tablets, smartphones, and other internet-enabled devices, you can access the course modules at your own pace. Invest in your professional development today and learn skills that will lead to your dream job. Become a career leader by taking this course online.
What Do You Get With The IT Bundle – 5 in 1 Course?
- Premium Video Materials in bite-sized format for the most accessible learning experience
- Free e-certificate after completing the course
- Flexible study time and pace
- Instructor-led Course
Course Design
Students can access the course using any internet-connected device through our online learning platform. You may study at your own pace since there are no formal deadlines or teaching schedules.
Certification
The learners who pass the course will receive a Learndrive Certificate as a badge of accomplishment. The e-certificate is free of charge. There is a small fee, however, if you want a hard copy of your certificate.
Who Is This Course For?
The course is right for you if you already work in this industry or want to make the transition. This IT Bundle – 5 in 1 Course is designed to enhance your expertise and improve your CV.
Requirements
Students from all backgrounds are welcome to participate in the online training. There are no requirements for participation. The only prerequisite for studying this IT Bundle – 5 in 1 Course is an interest in learning and a good grasp of English, mathematics, and computer skills.
Course Instructor
Juan Galvan
Juan Galvan has been an aspiring entrepreneur. Throughout his career, he has gained experience in a wide variety of areas, including Digital Marketing, E-Commerce, Web Development, and Programming. Juan believes that continuous education and improvements in skills and learning is the key to acquiring the best of a university degree without all the downsides that come with them, such as burdensome costs and inefficient methods. As a lifelong teacher, Juan is passionate about sharing his knowledge and helps enthusiastic learners enhance their skill sets.
Accreditation
This course is accredited by CPDQE. The demand for professionals to engage in Continuing Professional Development is escalating, irrespective of the industry, career stage, or job function. CPD serves as an impactful mechanism for skill enhancement, maintaining the relevance of academic credentials, and strategically advancing one’s career.
This CPDQE Certified Course will ensure that you have obtained the required CPD trainings for your professional development.
What Students say about us
The courses on the website are well designed, very clear and you can learn a lot of useful skills from them. A very
Enjoying the course at my pace, repeating what I did not understand and learning
Frequently Asked Questions
Everything you need to now about he product billing.
To purchase a course, simply select the course you want, choose your plan from the top right side, and click on the ‘Take this course’ button to initiate the checkout process. You will receive access as soon as the payment is processed.
We accept various payment methods, including credit/debit cards, PayPal, and bank transfer. If you don’t have a card or paypal, contact us for alternative payment methods.
If you’re not satisfied with our course, you can request a refund within 14 days of purchase. We follow a no-questions-asked refund policy, and you will receive a full refund.
Yes, upon successful completion of the course and exam (if applicable), you will receive a free digital certificate that can be downloaded and printed.
Yes, our courses are CPDQE accredited. CPDQE is an independent body that accredits courses and events for continuous professional development, ensuring they meet high-quality standards.
You can verify your certificate by visiting the Learndrive certificate verification page and entering your certification code. This will confirm the authenticity of your certificate.
To redeem your voucher, first visit the voucher redemption page. Enter your personal details and paste the voucher code into the designated field (do not type the code manually). After that, click the “Send” button. You will receive your login details via the email address you provided. Once you have received them, log in to our website and access your course from your dashboard.
Course Curriculum
| Course 01: Web Development (HTML, CSS, SaaS, NPM) | |||
| Section 1: Course Intro | |||
| HTML and CSS Course Overview | 00:09:00 | ||
| Who is this for | 00:05:00 | ||
| Web Developer Marketplace | 00:03:00 | ||
| Web Developer Job Opportunities | 00:04:00 | ||
| 4 Skills of Successful Web Developer | 00:05:00 | ||
| Different Types of Web Developers | 00:06:00 | ||
| The Course Projects | 00:03:00 | ||
| Section 2: Intro To HTML | |||
| HTML Quick Section Overview | 00:01:00 | ||
| What is HTML | 00:03:00 | ||
| Environment Setup – installing Sublime Text | 00:02:00 | ||
| Structure of an HTML Document | 00:06:00 | ||
| HTML Heading and Paragraph Elements | 00:13:00 | ||
| HTML Imaged and Attributes | 00:06:00 | ||
| HTML Links | 00:05:00 | ||
| Section 3: Styling with CSS | |||
| CSS Quick Section Overview | 00:01:00 | ||
| Intro to CSS | 00:05:00 | ||
| Inserting CSS into Code | 00:15:00 | ||
| Colors in CSS | 00:11:00 | ||
| CSS Selectors | 00:15:00 | ||
| CSS Properties | 00:11:00 | ||
| CSS Box Model | 00:09:00 | ||
| Making Simple Box Model Layouts – using div elements | 00:22:00 | ||
| Incorporating Box Model into a Blog page | 00:27:00 | ||
| Relative vs. Absolute Positioning | 00:09:00 | ||
| Debugging your Code using Browser Tools | 00:05:00 | ||
| Section 4: Basics of Web Design | |||
| Working with Fonts and Icons | 00:09:00 | ||
| Working with Colors | 00:10:00 | ||
| Working with Images | 00:04:00 | ||
| Whitespaces, layout and user experience | 00:03:00 | ||
| Secret to Making Great Websites | 00:03:00 | ||
| About Us Page | 00:19:00 | ||
| Section 5: Building a Website from Scratch | |||
| Rules to Design a Good Website | 00:03:00 | ||
| Project Requirements – Making Digital Services Agency Website | 00:07:00 | ||
| Overview of the Digisolve Project | 00:05:00 | ||
| Digisolve Project – Getting Started | 00:09:00 | ||
| Setting Up Fluid Grid | 00:12:00 | ||
| Building the Webpage Header | 00:20:00 | ||
| Building the More Info Button | 00:10:00 | ||
| Building the Logo + Menu | 00:12:00 | ||
| Building the About Us Page | 00:11:00 | ||
| Building the Portfolio Section | 00:27:00 | ||
| Building the Services Page | 00:26:00 | ||
| Building the Featured Clients Page | 00:08:00 | ||
| Building the Testimonials Section | 00:22:00 | ||
| Building the Popular Packages Page | 00:21:00 | ||
| Popular Packages Continued | 00:09:00 | ||
| Building the Contact Form | 00:29:00 | ||
| Webpage Footer | 00:24:00 | ||
| Section 6: Making The Page Responsive | |||
| Using Media Queries – Part 1 | 00:26:00 | ||
| Using Media Queries – Part 2 | 00:33:00 | ||
| Browser Compatibility | 00:13:00 | ||
| Section 7: Adding Effects and Animations with JQuery | |||
| Intro to JQuery | 00:06:00 | ||
| Creating Sticky Navigation | 00:14:00 | ||
| Scrolling to target elements | 00:10:00 | ||
| Adding Animations without coding! | 00:18:00 | ||
| Adding Animations Continued | 00:13:00 | ||
| Section 8: Optimizing and Launching the Website | |||
| Optimizing Website Performance | 00:07:00 | ||
| Image Optimization | 00:11:00 | ||
| Minifying the Code | 00:06:00 | ||
| Launching the WebPage | 00:12:00 | ||
| Section 9: CSS Under the Hood | |||
| How CSS works (Part 1) | 00:04:00 | ||
| How CSS works (Part 2) | 00:10:00 | ||
| How the Cascade Works | 00:13:00 | ||
| How CSS Calculates pixel values and renders a website | 00:18:00 | ||
| Section 10: Intro to SASS and NPM OFFICIAL | |||
| What is SASS | 00:04:00 | ||
| SASS Basic Principles – variables, nesting | 00:31:00 | ||
| SASS Basic Principles – mixins, extends, functions | 00:18:00 | ||
| Command line basics | 00:06:00 | ||
| What is NPM | 00:05:00 | ||
| Installing and Setting up SASS and NPM | 00:12:00 | ||
| Section 11: Good CSS Practices OFFICIAL | |||
| How to Plan out your CSS | 00:05:00 | ||
| The BEM Model | 00:07:00 | ||
| An Ideal Folder and File Structure for a CSS Project | 00:11:00 | ||
| Different Types of Layouts | 00:04:00 | ||
| Section 12: Project Country Club Site OFFICIAL | |||
| Lakeview Project Overview | 00:07:00 | ||
| Setting Up The Project | 00:13:00 | ||
| Creating Background Image for Header | 00:28:00 | ||
| Automatic page reload with NPM and live-server | 00:08:00 | ||
| Typography for Header | 00:21:00 | ||
| Creating Buttons for Header | 00:14:00 | ||
| Creating a Fluid Grid from Scratch | 00:08:00 | ||
| Building the About Section Part 1 | 00:20:00 | ||
| Building the About Section Part 2 | 00:13:00 | ||
| Building the About Section Part 3 | 00:15:00 | ||
| Building The Club Amenities Part 1 | 00:23:00 | ||
| Building The Club Amenities Part 2 | 00:22:00 | ||
| Building The Contact Form Part 1 | 00:27:00 | ||
| Building The Contact Form Part 2 | 00:33:00 | ||
| Building The Contact Form Part 3 | 00:26:00 | ||
| Building Membership Plan Part 1 | 00:21:00 | ||
| Building Membership Plan Part 2 | 00:33:00 | ||
| Building Membership Plan Part 3 | 00:11:00 | ||
| Building The Testimonials Section Part 1 | 00:20:00 | ||
| Building The Testimonials Section Part 2 | 00:39:00 | ||
| Building Testimonials Section Part 3 | 00:21:00 | ||
| Section 13: Advanced Responsive Design | |||
| Media Queries with SASS Part 1 | 00:26:00 | ||
| Media Queries with SASS Part 2 | 00:18:00 | ||
| Media Queries with SASS part 3 | 00:19:00 | ||
| Media Queries with SASS part 4 | 00:17:00 | ||
| Making images responsive and optimized | 00:39:00 | ||
| Density Switching Using CDN | 00:15:00 | ||
| Ensuring Browser Support | 00:34:00 | ||
| Mobile First vs. Desktop First Design | 00:12:00 | ||
| Section 14: Flexbox | |||
| Intro To Flexbox Part 1 | 00:31:00 | ||
| Intro To Flexbox Part 2 | 00:17:00 | ||
| Project Overview for _Bizwizz_ website | 00:10:00 | ||
| Setting up the _Bizwizz_ Project | 00:11:00 | ||
| Creating the Header Section | 00:41:00 | ||
| Creating the Animated Button | 00:10:00 | ||
| Creating SVG Waves | 00:11:00 | ||
| Creating the Services Section | 00:21:00 | ||
| Downloading and using SVG icons | 00:28:00 | ||
| Creating the Meet Our Team Section | 00:39:00 | ||
| Creating an Image Gallery | 00:20:00 | ||
| Creating the Testimonials Section Part 1 | 00:27:00 | ||
| Creating the Testimonials Section Part 2 | 00:40:00 | ||
| Creating the Testimonials Section Part 3 | 00:43:00 | ||
| Creating the Contact Section | 00:49:00 | ||
| Creating the CTA Section | 00:04:00 | ||
| Creating the Footer | 00:13:00 | ||
| Making the Page Responsive | 00:47:00 | ||
| Section 15: Career Section | |||
| Creating an Web Developer Resume | 00:09:00 | ||
| Contacting Recruiters | 00:06:00 | ||
| Getting Started with Freelancing | 00:06:00 | ||
| Personal Branding | 00:06:00 | ||
| Networking | 00:06:00 | ||
| Top Freelance Websites | 00:12:00 | ||
| Course 02: Javascript from Scratch | |||
| Promo | |||
| JavaScript Course Promo Video | 00:04:00 | ||
| Section 1: Introduction | |||
| JAVASCRIPT – 01 | 00:02:00 | ||
| JAVASCRIPT – 02 | 00:05:00 | ||
| Section 2: Intro to JS, History, and Environment | |||
| Intro To JavaScript _ Environment | 00:10:00 | ||
| VS Code _ Extensions | 00:08:00 | ||
| Browser Dev tools _ JS Console | 00:05:00 | ||
| Common Console Errors – Syntax, Type, Reference | 00:12:00 | ||
| Intro to Terminal | 00:09:00 | ||
| Crash course on GitHub | 00:10:00 | ||
| Online Resources (W3schools, MDN Web Docs, Stack Overflow) | 00:12:00 | ||
| Coding Challenge Hello World in JS | 00:02:00 | ||
| Coding Challenge Solution – Javascript from Scratch | 00:03:00 | ||
| Section 3: Coding Basics | |||
| Execution Content Object | 00:05:00 | ||
| SingleMulti Line Coding | 00:12:00 | ||
| Variable | 00:15:00 | ||
| Hoisting | 00:06:00 | ||
| Declaration Assignment | 00:08:00 | ||
| Operators | 00:11:00 | ||
| Operator Precedence | 00:14:00 | ||
| Coding Challenge | 00:02:00 | ||
| Coding Challenge Solution | 00:05:00 | ||
| Section 4: Primitive Data Types | |||
| Primitive Data Types | 00:05:00 | ||
| String Manipulation – Javascript from Scratch | 00:13:00 | ||
| Numbers | 00:06:00 | ||
| Numbers Manipulation | 00:10:00 | ||
| Symbol | 00:04:00 | ||
| Null and Undefined | 00:05:00 | ||
| Boolean Logic _ Control Flow | 00:07:00 | ||
| TruthyFalsy values and Equality Operators | 00:07:00 | ||
| IfElse Statements, nesting ifelse | 00:09:00 | ||
| Ternary Operators | 00:05:00 | ||
| Switch Statements | 00:05:00 | ||
| Code Challenge | 00:02:00 | ||
| Code Challenge Solution | 00:07:00 | ||
| Section 5: Advanced Data Types | |||
| Advanced Data Types Intro | 00:02:00 | ||
| Arrays and Length | 00:12:00 | ||
| Basic Array Methods | 00:10:00 | ||
| Objects and Properties | 00:09:00 | ||
| Object Methods | 00:08:00 | ||
| Code Challenge 5 | 00:01:00 | ||
| Code Challenge Solution 5 | 00:05:00 | ||
| Section 6: Loops | |||
| For and for in Loop | 00:08:00 | ||
| While Loops – Javascript from Scratch | 00:03:00 | ||
| Break and Continue Statements | 00:04:00 | ||
| Coding Challenge 6 | 00:01:00 | ||
| Coding Solution 6 | 00:07:00 | ||
| Section 7: Beginner Function Syntax | |||
| Function Declarations | 00:07:00 | ||
| Function Expressions | 00:09:00 | ||
| Arrow Functions | 00:05:00 | ||
| IIFE | 00:05:00 | ||
| Scope | 00:08:00 | ||
| Closure | 00:10:00 | ||
| Callbacks | 00:08:00 | ||
| Code Challenge 7 | 00:02:00 | ||
| Code Solution 7 | 00:07:00 | ||
| Section 8: Advanced Function Syntax | |||
| Foreach Method | 00:04:00 | ||
| Map Method | 00:05:00 | ||
| Filter Method | 00:04:00 | ||
| Reduce Method | 00:09:00 | ||
| Sort Method | 00:07:00 | ||
| Spread Operator | 00:08:00 | ||
| Course 03: Wordpress from Scratch | |||
| Section 1: Wordpress Course Introduction | |||
| WordPress Course Intro – WordPress from Scratch | 00:03:00 | ||
| Buying Domain – WordPress from Scratch | 00:01:00 | ||
| Where To Buy Hosting – WordPress from Scratch | 00:01:00 | ||
| Setup Hosting Nameservers – WordPress from Scratch | 00:01:00 | ||
| Section 2: Wordpress Platform Walkthrough | |||
| How To Install WordPress – WordPress from Scratch | 00:02:00 | ||
| WordPress Settings Optimization – WordPress from Scratch | 00:03:00 | ||
| WordPress Widgets Walkthrough – WordPress from Scratch | 00:01:00 | ||
| WordPress Posts and Media – WordPress from Scratch | 00:01:00 | ||
| Section 3: Wordpress Website Themes Walkthrough | |||
| WordPress Marketing Agency Theme – WordPress from Scratch | 00:06:00 | ||
| Local Business Theme EInstall | 00:01:00 | ||
| Install Free Website Builder – WordPress from Scratch | 00:01:00 | ||
| WordPress Plumber Business Theme Walkthrough – WordPress from Scratch | 00:02:00 | ||
| Update Homepage Setting – WordPress from Scratch | 00:01:00 | ||
| Setup Menu – WordPress from Scratch | 00:02:00 | ||
| Section 4: Wordpress Website Editing Walkthrough | |||
| How To Edit Your Website With Elementor – WordPress from Scratch | 00:04:00 | ||
| Elementor Elements Walkthrough – WordPress from Scratch | 00:02:00 | ||
| Contact Form – WordPress from Scratch | 00:01:00 | ||
| Terms of Service and Privacy Policy Pages – WordPress from Scratch | 00:02:00 | ||
| Setup Footer Menu – WordPress from Scratch | 00:02:00 | ||
| Section 5: Wordpress Website SEO Optimization | |||
| Yoast SEO Plugin Setup | 00:02:00 | ||
| Yoast SEO On-Page Optimization – WordPress from Scratch | 00:03:00 | ||
| Page Title Optimization – WordPress from Scratch | 00:05:00 | ||
| Advanced WordPress SEO On Page SEO – WordPress from Scratch | 00:20:00 | ||
| Advanced WordPress On-Page SEO – WordPress from Scratch | 00:17:00 | ||
| Bonus Materials | |||
| EasyWPGuide_WP4.9 | 00:03:00 | ||
| Ultimate Guide to Ecommerce | 00:03:00 | ||
| WPE-EBK-The Ultimate Guide To Word Press Plugins_v04 | 00:03:00 | ||
| Course 04: Data Science and Machine Learning with R | |||
| Promo | |||
| Data science & Machine Learning-Promo | 00:04:00 | ||
| Introduction to Data Science +ML with R from A-Z | |||
| Data Science ML Course Intro | 00:03:00 | ||
| What is data science – Data Science | 00:10:00 | ||
| Machine Learning Overview | 00:06:00 | ||
| Whos this course is for – Data Science | 00:03:00 | ||
| DL and ML Marketplace | 00:05:00 | ||
| Data Science and ML Job opps | 00:03:00 | ||
| Data Science Job Roles – Data Science | 00:04:00 | ||
| Getting Started with R | |||
| Getting Started – Data Science | 00:11:00 | ||
| Basics | 00:07:00 | ||
| Files | 00:12:00 | ||
| RStudio | 00:07:00 | ||
| Tidyverse | 00:06:00 | ||
| Resources | 00:04:00 | ||
| Data Types and Structures in R | |||
| Section Introduction | 00:30:00 | ||
| Basic Types | 00:09:00 | ||
| Vectors Part One | 00:20:00 | ||
| Vectors Part Two | 00:25:00 | ||
| Vectors – Missing Values | 00:16:00 | ||
| Vectors – Coercion | 00:15:00 | ||
| Vectors – Naming | 00:11:00 | ||
| Vectors – Misc | 00:06:00 | ||
| Creating Matrices | 00:32:00 | ||
| Lists – Data Science and Machine Learning with R | 00:32:00 | ||
| Introduction to Data Frames | 00:20:00 | ||
| Creating Data Frames | 00:20:00 | ||
| Data Frames_Helper Functions | 00:32:00 | ||
| Data Frames – Tibbles | 00:39:00 | ||
| Intermediate R | |||
| Section Introduction Intermediate | 00:47:00 | ||
| Relational Operations | 00:12:00 | ||
| Logical Operators – Data Science | 00:07:00 | ||
| Conditional Statements – Data Science | 00:12:00 | ||
| Loops | 00:08:00 | ||
| Functions – Data Science | 00:15:00 | ||
| Packages | 00:12:00 | ||
| Factors | 00:29:00 | ||
| Dates and Times | 00:31:00 | ||
| Functional Programming | 00:37:00 | ||
| Data Import or Export | 00:23:00 | ||
| Database | 00:28:00 | ||
| Data Manipulation in R | |||
| Data Manipulation in R Section Introduction | 00:37:00 | ||
| Tidy Data | 00:11:00 | ||
| The Pipe Operator | 00:15:00 | ||
| The Filter Verb | 00:22:00 | ||
| The Select Verb | 00:46:00 | ||
| The Mutate Verb | 00:32:00 | ||
| The Arrange Verb | 00:10:00 | ||
| The Summarize Verb | 00:24:00 | ||
| Data Pivoting | 00:43:00 | ||
| JSON Parsing | 00:11:00 | ||
| String Manipulation – Data Science and Machine Learning with R | 00:08:00 | ||
| Web Scraping | 00:59:00 | ||
| Data Visualization in R | |||
| Data Visualization in R Section Introduction | 00:18:00 | ||
| Getting Started 2 – Data Science | 00:16:00 | ||
| Aesthetics Mappings | 00:25:00 | ||
| Single Variables Plot | 00:37:00 | ||
| Two Variable Plots | 00:21:00 | ||
| Facets Layering and Coordinate System | 00:18:00 | ||
| Styling and Saving | 00:12:00 | ||
| Creating Reports with R Markdown | |||
| Creating-Reports-with-R-Markdown | 00:29:00 | ||
| Building Webapps with R Shiny | |||
| Section-Introduction-With-R-Shiny | 00:27:00 | ||
| A Basic App | 00:32:00 | ||
| Other Examples | 00:35:00 | ||
| Introduction to Machine Learning | |||
| Intro to Machine Learning – Part 1 | 00:22:00 | ||
| Intro to Machine Learning – Part 2 | 00:47:00 | ||
| Data Preprocessing | |||
| Introduction to Data Pre processing | 00:27:00 | ||
| Data Pre processing | 00:38:00 | ||
| Linear Regression: A Simple Model | |||
| LR Section Introduction | 00:26:00 | ||
| Linear Regression A Simple Model | 00:53:00 | ||
| Exploratory Data Analysis | |||
| Section Introduction EDA | 00:25:00 | ||
| Hands-on Exploratory Data Analysis | 01:03:00 | ||
| Linear Regression: A Real Model | |||
| Linear Regression – Real Model Section Intro | 00:32:00 | ||
| Linear Regression in R – real model | 00:53:00 | ||
| Logistic Regression | |||
| Introduction to Logistic Regression | 00:38:00 | ||
| Logistic Regression in R | 00:40:00 | ||
| Starting a Career in Data Science | |||
| Starting a Career in Data Science | 00:03:00 | ||
| Data Science Resume | 00:04:00 | ||
| Getting Started with Freelancing – Data Science | 00:05:00 | ||
| Top Freelancing Websites | 00:06:00 | ||
| Personal Branding – Data Science | 00:06:00 | ||
| Importance of Website and Blog | 00:04:00 | ||
| Networking dos and donts – Data Science | 00:04:00 | ||
| Bonus Materials | |||
| Comprehensive Guide to Data Visualization_R-11.pdf | 00:03:00 | ||
| Course 05: Python for Data Science and Machine Learning | |||
| Introduction to Python for Data Science & Machine Learning from A-Z | |||
| Who is this Course for – Learn Python | 00:03:00 | ||
| DS + ML Marketplace | 00:07:00 | ||
| Data Science Job Opportunities | 00:05:00 | ||
| Data Science Job Roles | 00:11:00 | ||
| What is a Data Scientist | 00:17:00 | ||
| How To Get a Data Science Job | 00:19:00 | ||
| Data Science Projects Overview | 00:12:00 | ||
| Data Science & Machine Learning Concepts | |||
| Why We Use Python | 00:04:00 | ||
| What is Data Science | 00:14:00 | ||
| What is Machine Learning | 00:15:00 | ||
| ML Concepts _ Algorithms | 00:15:00 | ||
| What is Deep Learning | 00:10:00 | ||
| Machine Learning vs Deep Learning | 00:12:00 | ||
| Python For Data Science | |||
| What is Python Programming – Python for Data Science and Machine Learning | 00:07:00 | ||
| Why Python for Data Science | 00:05:00 | ||
| What is Jupyter | 00:04:00 | ||
| What is Colab | 00:04:00 | ||
| Jupyter Notebook | 00:18:00 | ||
| Getting Started with Colab | 00:10:00 | ||
| Python Variables, Booleans and None | 00:12:00 | ||
| Python Operators | 00:26:00 | ||
| Python Numbers and Booleans | 00:08:00 | ||
| Python Strings | 00:14:00 | ||
| Python Conditional Statements | 00:14:00 | ||
| Python For Loops and While Loops | 00:09:00 | ||
| Python Lists | 00:06:00 | ||
| More About Python Lists | 00:16:00 | ||
| Python Tuples | 00:12:00 | ||
| Python Dictionaries | 00:21:00 | ||
| Python Sets | 00:10:00 | ||
| Compound Data Types and When to use each Data Type | 00:13:00 | ||
| Functions – Learn Python | 00:15:00 | ||
| Python Object Oriented Programming | 00:19:00 | ||
| Statistics for Data Science | |||
| Intro to Statistics | 00:08:00 | ||
| Descriptive Statistics | 00:07:00 | ||
| Measure of Variability | 00:13:00 | ||
| Measure of Variability Continued | 00:10:00 | ||
| Measures of Variable Relationship | 00:08:00 | ||
| Inferential Statistics | 00:16:00 | ||
| Measures of Asymmetry | 00:02:00 | ||
| Sampling Distribution | 00:08:00 | ||
| Probability and Hypothesis Testing | |||
| What Exactly Probability | 00:04:00 | ||
| Expected Values | 00:03:00 | ||
| Relative Frequency | 00:06:00 | ||
| Hypothesis Testing Overview | 00:10:00 | ||
| NumPy Data Analysis | |||
| NumPy Array Data Types | 00:13:00 | ||
| NumPy Arrays – Learn Python | 00:09:00 | ||
| NumPy Array Basics | 00:12:00 | ||
| NumPy Array Indexing | 00:10:00 | ||
| NumPy Array Computations | 00:06:00 | ||
| Broadcasting – Learn Python | 00:05:00 | ||
| Pandas Data Analysis | |||
| Intro to Pandas | 00:16:00 | ||
| Intro to Panda Continued | 00:19:00 | ||
| Python Data Visualization | |||
| Data Visualization Overview | 00:25:00 | ||
| Different Data Visualization Libraries in Python | 00:13:00 | ||
| Python Data Visualization Implementation | 00:09:00 | ||
| Introduction to Machine Learning | |||
| Intro to ML | 00:26:00 | ||
| Data Loading & Exploration | |||
| Exploratory Data Analysis | 00:14:00 | ||
| Data Cleaning | |||
| Feature Scaling | 00:08:00 | ||
| Data Cleaning | 00:08:00 | ||
| Feature Selecting and Engineering | |||
| Feature Engineering | 00:07:00 | ||
| Linear and Logistic Regression | |||
| Linear Regression Intro | 00:09:00 | ||
| Gradient Descent | 00:06:00 | ||
| Linear Regression + Correlation Methods | 00:27:00 | ||
| Linear Regression Implementation | 00:06:00 | ||
| Logistic Regression | 00:04:00 | ||
| K Nearest Neighbours | |||
| KNN Overview | 00:03:00 | ||
| Parametic vs Non-Parametic Models | 00:04:00 | ||
| EDA on Iris Dataset | 00:23:00 | ||
| KNN – Intuition | 00:03:00 | ||
| Implement the KNN algorithm from scratch | 00:12:00 | ||
| Compare the Result with Sk learn Library | 00:04:00 | ||
| KNN Hyperparameter tuning using the cross-validation | 00:11:00 | ||
| The decision boundary visualization | 00:05:00 | ||
| KNN – Manhattan vs Euclidean Distance | 00:12:00 | ||
| KNN Scaling in KNN | 00:06:00 | ||
| Curse of dimensionality | 00:09:00 | ||
| KNN use cases | 00:04:00 | ||
| KNN pros and cons | 00:06:00 | ||
| Decision Trees | |||
| Decision Trees Section Overview | 00:05:00 | ||
| EDA on Adult Dataset – Learn Python | 00:17:00 | ||
| What is Entropy and Information Gain | 00:22:00 | ||
| The Decision Tree ID3 algorithm from scratch Part 1 | 00:12:00 | ||
| The Decision Tree ID3 algorithm from scratch Part 2 | 00:08:00 | ||
| The Decision Tree ID3 algorithm from scratch Part 3 | 00:05:00 | ||
| ID3 – Putting Everything Together | 00:22:00 | ||
| Evaluating our ID3 implementation | 00:17:00 | ||
| Compare with Sk learn implementation – Learn Python | 00:09:00 | ||
| Visualizing the Tree | 00:11:00 | ||
| Plot the features importance | 00:06:00 | ||
| Decision Trees Hyper-parameters | 00:12:00 | ||
| Pruning | 00:18:00 | ||
| [Optional] Gain Ration | 00:03:00 | ||
| Decision Trees Pros and Cons | 00:08:00 | ||
| [Project] Predict whether income exceeds $50Kyr – Overview | 00:03:00 | ||
| Ensemble Learning and Random Forests | |||
| Ensemble Learning Section Overview | 00:04:00 | ||
| What is Ensemble Learning | 00:14:00 | ||
| What is Bootstrap Sampling | 00:09:00 | ||
| What is Bagging | 00:06:00 | ||
| Out-of-Bag Error | 00:08:00 | ||
| Implementing Random Forests from scratch Part 1 | 00:23:00 | ||
| Implementing Random Forests from scratch Part 2 | 00:07:00 | ||
| Compare with sk learn implementation 2 – Learn Python | 00:04:00 | ||
| Random Forests Hyper-Parameters | 00:05:00 | ||
| Random Forests Pros and Cons | 00:06:00 | ||
| What is Boosting | 00:05:00 | ||
| AdaBoost Part 1 | 00:05:00 | ||
| AdaBoost Part 2 | 00:15:00 | ||
| Support Vector Machines | |||
| SVM – Outline | 00:06:00 | ||
| SVM – SVM intuition | 00:12:00 | ||
| SVM – Hard vs Soft Margin | 00:14:00 | ||
| SVM – C HP | 00:05:00 | ||
| SVM – Kernel Trick | 00:13:00 | ||
| SVM – Kernel Types | 00:19:00 | ||
| SVM – Linear Dataset | 00:14:00 | ||
| SVM – Non-Linear Dataset | 00:13:00 | ||
| SVM with Regression | 00:06:00 | ||
| SVM – Project Overview | 00:05:00 | ||
| K-Means | |||
| Unsupervised Machine Learning Intro | 00:21:00 | ||
| Representation of Clusters | 00:21:00 | ||
| Data Standardization | 00:20:00 | ||
| PCA | |||
| PCA – Section Overview | 00:06:00 | ||
| What is PCA | 00:10:00 | ||
| PCA – Drawbacks | 00:04:00 | ||
| PCA – Algorithm Steps | 00:14:00 | ||
| PCA – Cov vs SVD | 00:05:00 | ||
| PCA – Main Applications | 00:03:00 | ||
| PCA – Image Compression Scratch | 00:27:00 | ||
| PCA – Data Pre processing Scratch | 00:15:00 | ||
| PCA – BiPlot | 00:18:00 | ||
| PCA – Feature Scaling and Screeplot | 00:10:00 | ||
| PCA – Supervised vs unsupervised | 00:05:00 | ||
| PCA – Visualization | 00:08:00 | ||
| Data Science Career | |||
| Creating a Data Science Resume | 00:07:00 | ||
| Data Science Cover Letter | 00:04:00 | ||
| How To Contact Recruiters | 00:05:00 | ||
| Getting Started with Freelancing – Learn Python | 00:05:00 | ||
| Top Freelance Websites – Learn Python | 00:06:00 | ||
| Personal Branding – Learn Python | 00:04:00 | ||
| Networking Do_s and Don_ts – Learn Python | 00:04:00 | ||
| Importance of a Website – Learn Python | 00:03:00 | ||
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