12 Tweets 4 reads Feb 25, 2023
Follow this Roadmap to become a Data Analyst for FREE:
- Thread -
1 - Excel :
β†’ Start with Excel,
β†’ By using in-depth visual summaries, trends, and patterns, Analyzing Data in Excel gives you the ability to comprehend data.
β†’ Excel Free Course:
1. mygreatlearning.com
2. excel-practice-online.com
3. coursera.org
2- Statistics & Probability :
Topics to Learn:
-Exploratory Data Analysis
-Producing Data
-Probability
-Inference.
Free Statistics & Probability Courses:
1. khanacademy.org
2. classcentral.com
3. coursera.org
3- Programming Language :
β†’ Choose Python or R
β†’ If you want to move from programming to machine learning, Python can be the best option.
Python Free Courses:
1. udacity.com
2. learnpython.org
3. simplilearn.com
If you don't want to learn Python you can go with R.
R free Courses:
1. codecademy.com
2. udacity.com
3. datacamp.com
4- Databases :
β†’ Learn SQL & No SQL databases (SQL alone is fine too)
β†’ Or, you can also go with MySQL or Mongo DB.
-SQL Free Course:
1. udemy.com
2. coursera.org
3. ttps://www.coursera.org/learn/oracle-sql-basics
5- Data Visualisation Tools:
Data visualization is the graphical representation of information and data.
By using visual elements like charts, graphs, and maps.
As a Tool, you can go for
1. Tableau
2. Power BI
- Tableau:
Tableau is a popular data visualization, reporting, and business intelligence tool
Free Course to Learn Tableau:
1. udacity.com
2. coursera.org
3. youtu.be
- Power BI:
Microsoft's Power BI is an interactive data visualization software program with the main emphasis on business intelligence.
Free Courses to Learn Power BI:
1. udemy.com
2. simplilearn.com
3. edx.org
Create projects on topics that interest you in addition to learning and taking courses
Networking with people can lead to better Jobs
Maintain your focus and consistency.
If you are looking for a faster route to becoming a Data Analyst, Check this:
goldsuite.gumroad.com
TL ; DR
1 - Excel
2 - Statistics & Probability
3- Programming Languages (python / R )
4- Databases ( SQL)
5 - Data Visualisation Tools (Tableau / Power BI)
That's a wrap;
If you enjoyed this thread:
1. Follow me β†’ @thegoldsuite
2. Like & Retweet the first tweet below πŸ‘‡to share this with others.

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