Top 10 Udemy Courses for Data Analysts
Channel: Alex The Analyst
Date: 2020-10-22

*LINKS TO ALL COURSES IN THE DESCRIPTION*

Udemy is a fantastic platform to learn the skills you need to become a Data Analyst! Their courses are fantastic and are only $10-$15 dollars per course which is a fantastic deal! I highly recommend checking out the courses below if you're interested in learning any of the skills covered today!
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Udemy Courses:

1. SQL for Data Analysts (SSMS) - https://bit.ly/3fkqEij
2. PostgreSQL Zero to Hero - https://bit.ly/2RHMUJc
3. MySQL for Data Analysts - https://bit.ly/3hLIlI8
4. Power BI for Data Science - https://bit.ly/2FPTzhA
5. Building interactive Tableau Dashboards - https://bit.ly/3ktpmUy
6. Microsoft Excel Advanced for Data Analysts - https://bit.ly/33Kh4ki
7. Python for Data Science and Machine Learning - https://bit.ly/3hD8fhO
8. Python Automation - https://bit.ly/32PhVAY
9. Automate the boring stuff - https://bit.ly/3cj0PPq
10. Statistics for Data Science - https://bit.ly/37jqDbq

Bonus:
11. AWS for Data Analysts - https://bit.ly/3ceZA3F
12. Beginners Guide to Azure  - https://bit.ly/3ceq2KI

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RESOURCES:

Udemy Courses:
Python for Data Analysis and Visualization- https://bit.ly/3hhX4LX
Statistics for Data Science - https://bit.ly/37jqDbq
SQL for Data Analysts (SSMS) - https://bit.ly/3fkqEij
NLP - Natural Language Processing with Python - https://bit.ly/30w7iCB

Coursera Courses:
Database and SQL for Data Science - https://bit.ly/2zUk0zL
Data Analysis with Python - https://bit.ly/3geiVDG
Data Analysis Specialization - https://bit.ly/3dYJ6w0
Tableau Data Visualization - https://bit.ly/2AHCNPd

Favorite Books:
Python for Data Analysis Book -  https://amzn.to/3dDneGq
SQL Beginner's Guide to Managing and Analyzing With SQL Book - https://amzn.to/2X5341B

*Please note I may earn a small commission for any purchase through these links - Thanks for supporting the channel!*
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*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*