- Basic HTML & CSS - Variables, data structures, var, let and const - Basic operation, Statements, Coercion and type conversion
Truthy and Falsy values - Logical operations, Conditional operation - Functions and function expressions - Dom and Dom manipulation

- Basics of the Python programming language. - The core concepts of data science libraries in Python. - Become proficient in manipulating and visualizing data in Python. - Understand the principles of machine learning and predictive modeling. - Learn how to use Python to access public datasets and create data-driven applications. - Become familiar with the capabilities of the Python scientific stack for data analysis.

- Basics of Python - Object and Data Structures - Comparison Operators - Statements - Methods and Functions - Master Object Oriented Programming - Modules and Packages - Errors and Exceptions Handling

- HTML essentials - Different HTML tags and elements - Adding media to your webpage - CSS basics - CSS grinding & typography

In this path you will learn: - Search engines crawl, render and index - Best practice technical SEO - How to optimize your on-page content - Link acquisition through digital PR and link acquisition