“Great things come from hard work and perseverance. No excuses.” - Kobe Bryan
Are you ready to embark on your Data Science journey? You're in the right place. This repository offers a carefully curated selection of courses. Ignite your passion for Data Science. Explore, learn and to becoming a proficient Data Scientist. If you find this repository useful, support it by making "★ Star". Thank you!
Let's dive in!!!
- Hello, Python - A quick introduction to Python syntax, variable assignment, and numbers
- Functions and Getting Help - Calling functions and defining our own, and using Python's builtin documentation
- Booleans and Conditionals - Using booleans for branching logic
- Lists - Lists and the things you can do with them. Includes indexing, slicing and mutating
- Loops and List Comprehensions - For and while loops, and a much-loved Python feature: list comprehensions
- Strings and Dictionaries - Working with strings and dictionaries, two fundamental Python data types
- Working with External Libraries - Imports, operator overloading, and survival tips for venturing into the world of external libraries
- Getting Started With SQL and BigQuery - Learn the workflow for handling big datasets with BigQuery and SQL
- Select, From & Where - The foundational compontents for all SQL queries
- Group By, Having & Count - Get more interesting insights directly from your SQL queries
- Order By - Order your results to focus on the most important data for your use case
- As & With - Organize your query for better readability. This becomes especially important for complex queries
- Joining Data - Combine data sources. Critical for almost all real-world data problems
- JOINs and UNIONs - Combine information from multiple tables
- Analytic Functions - Perform complex calculations on groups of rows
- Group By, Having & Count - Get more interesting insights directly from your SQL queries
- Order By - Order your results to focus on the most important data for your use case