Here, I will post the road-maps of the skills needed to become a Data Analyst. These resources will be free of cost which I have used to learn myself. I assure, you don't need to go anywhere else to learn these tools (for free). I have got you covered everything you need to know.
- Excel Complete Roadmap
- Power BI Complete Roadmap
- SQL Complete Roadmap
- Python Complete Roadmap
- Contact Details
- Excel Basics Course
- Excel Crash Course - Data Cleaning in Excel - Microsoft Excel Tutorial
- Data Cleaning in Excel - Text Functions and Power Query in Excel!
- Introduction to Data Analysis with Excel: 2-Hour Training Tutorial
- Excel Projects
- Excel Advanced Course
- Microsoft 365 Excel Complete Class (Optional)
11 Free Websites Will 100X Your Excel Skills
- Excel Basement
- Excel Jet
- Mr. Excel
- Chandoo
- Trump Excel
- The Smart Method
- Contextures
- Excel Campus
- Excel Exposure
- Excel Easy
- My Excel Online
- PQB: Power Query Basics from A to Z - Full Course, 5 hours, 17 topics, 25+ Examples
- Power BI Full Course in 8 Hours | Learn Power BI Pavan Lalwani Power BI Tutorial for Beginners
- Power BI Projects for Beginners
- Learn Power Pivot & DAX for Power BI with 20 Beginner to PRO Examples (Sample file included)
- Introduction to Data Modeling for Power BI Video Course
- Introducing DAX Video Course
- Complete Power BI DAX End to End - Power BI DAX Tutorial - {End to End} Full Course
- Complete Power BI Services - {End to End} Full Course
- Power BI Advanced Projects
- Power BI Projects (Optional)
- SQL Videos
- SQL Theoretical Learning Websites
- SQL Practice Websites
- Watch and Practice SQL
- Everyday Data Science – YouTube Channel
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Learn SQL - Online SQL Terminal - Practice SQL Queries (sql-practice.com)
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HackerRank
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LeetCode
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DataLemur
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StrataScratch
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ALL HackerRank SQL Solutions in ONE Video! | Easy Medium Hard Problems - YouTube
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EASY SQL LeetCode Interview Questions | Practice (youtube.com)
- Python Tutorials
- Python Documentation
- NumPy Tutorials
- NumPy Documentation
- Pandas Tutorials
- Pandas Documentation
- Is Python Really Needed For a Data Analyst Job?
- Session 1 - Python Fundamentals | CampusX Data Science Mentorship Program | 7th Nov 2022
- Session 2 - Operators + If-Else + Loops | CampusX Data Science Mentorship Program | 8th Nov 2022
- Session 3 - Python Strings | CampusX Data Science Mentorship Program | 9th Nov 2022
- Programming Problems on Strings | Session 3 Supplementary Session
- Session 4 - Lists in Python | Data Science Mentorship Program(DSMP) 2022-23
- Session 5 - Tuples + Sets + Dictionary | Data Science Mentorship Program(DSMP) 2022-23
- Session 6 - Functions in Python | Data Science Mentorship Program(DSMP) 2022-23
- The Python Tutorial — Python 3.12.5 documentation
- Python Tutorial | Learn Python Programming - GeeksforGeeks
- Python Tutorial (w3schools.com)
- Python Tutorial (tutorialspoint.com)
- Learn Python - Free Interactive Python Tutorial
- Session 13 - Numpy Fundamentals | Data Science Mentorship Program (DSMP) 2022-23
- Session 14 - Advanced Numpy | Data Science Mentorship Program (DSMP) 2022-23
- Session 15 - Numpy Tricks | Data Science Mentorship Program (DSMP) 2022-23
- What is NumPy? — NumPy v2.0 Manual
- Introduction to NumPy (w3schools.com)
- NumPy Tutorial (geeksforgeeks.org)
- NumPy Tutorial (tutorialspoint.com)
- Numpy Arrays - Learn Python - Free Interactive Python Tutorial
- Session 16 - Pandas Series| Data Science Mentorship Program (DSMP) 2022-23
- Important Series Methods | Supplementary Session | DSMP 2022-23
- Session 17 - Pandas DataFrame | Data Science Mentorship Program (DSMP) 2022-23
- Session 18 - Important DataFrame Methods | Data Science Mentorship Program (DSMP) 2022-23
- Session 19 - GroupBy Object in Pandas | Data Science Mentorship Program (DSMP) 2022-23
- Session 20 - Merging, Joining & Concatenating | DSMP 2022-23
- Session 21 - MultiIndex Series and DataFrames | DSMP 2022-23
- Session 22 - Vectorized String Operations | DateTime in Pandas | Pivot Table | DSMP 2022-23
- 10 minutes to pandas — pandas 2.2.2 documentation (pydata.org)
- Getting started — pandas 2.2.2 documentation (pydata.org)
- Pandas Introduction - GeeksforGeeks
- Pandas Tutorial (w3schools.com)
- Pandas Basics - Learn Python - Free Interactive Python Tutorial
Call: +92-318-815444-1
Email: [email protected]
LinkedIn: linkedin.com/in/qamaruddin-khichi/