Back in 2020, I entered the Data Analytics field after completing my Master’s in Business Analytics in the US. It cost me $50,000 and took two full years to master various analytical techniques, acquire necessary skills, complete numerous projects, and build a decent resume.
But guess what? You don’t need to go through all that.
In 2024, you can become a Data Analyst with zero investment, leveraging only YouTube and ChatGPT.
Curious how? Watch my latest video where I share the exact roadmap I’d follow if I were starting over from scratch.
Resources to get started:
Excel
- Excel tutorial(Youtube) -
https://www.youtube.com/watch?v=lH7HfwUFnYA&list=PLUaB-1hjhk8Hyd5NiPQ9CND82vNodlFF5
SQL
- Codebasics(Youtube) -
https://youtu.be/Rm0xH2Vpfi0?si=yd4u_FiP1gPNQsOs
- freeCodecamp(Youtube) - [https://www.youtube.com/@freecodecamp/search?query=sql](
https://youtu.be/HXV3zeQKqGY?si=o6ksEyw8GD0Iw99n)
- Luke Barousse(Youtube) -
https://youtu.be/7mz73uXD9DA?si=QtqUuoDEnFYEEU1X
Python:
- Luke Barousse(Youtube) -
https://www.youtube.com/watch?v=wUSDVGivd-8&t=22259s
- **Python for Data Science(**Udemy) - https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp
PowerBI:
- How to PowerBI(Youtube) - https://www.youtube.com/@HowtoPowerBI
- Microsoft Power BI Desktop for Business Intelligence - https://www.udemy.com/course/microsoft-power-bi-up-running-with-power-bi-desktop
Tableau:
- Tableau 2024 A-Z -https://www.udemy.com/course/tableau10
Projects:
https://www.kaggle.com/
Timestamp:
00:00 Introduction
01:28 Excel
02:26 SQL
03:29 Python
04:14 Data visualization
05:33 Basic Math and Statistics
05:55 Build Projects
07:26 Outro
#datascience #dataanalytics #dataanalyst #sql #excel #powerbi #tableau #python #careertips #dataengineering #datavisualization