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Data Analytics Roadmap
|
|-- Fundamentals
| |-- Mathematics
| | |-- Descriptive Statistics
| | |-- Inferential Statistics
| | |-- Probability Theory
| |
| |-- Programming
| | |-- Python (Focus on Libraries like Pandas, NumPy)
| | |-- R (For Statistical Analysis)
| | |-- SQL (For Data Extraction)
|
Free Resources to learn Data Analytics skills👇👇
1. SQL
https://bit.ly/4kNb15x
https://mode.com/sql-tutorial/introduction-to-sql
2. Python
https://www.learnpython.org/
https://www.geeksforgeeks.org/python-programming-language/learn-python-tutorial
3. R
https://www.datacamp.com/courses/free-introduction-to-r
4. Data Structures
https://leetcode.com/study-plan/data-structure/
https://www.udacity.com/course/data-structures-and-algorithms-in-python--ud513
5. Data Visualization
https://www.freecodecamp.org/learn/data-visualization/
6. Excel
https://excel-practice-online.com/
https://tinyurl.com/2b76wzud
https://www.w3schools.com/EXCEL/index.php
