Data Analysis Course for Beginners SQL ,R, Excel [2025]

Data Analysis Course for Beginners SQL ,R, Excel. Learn the art of Data Analysis & Visualizations for Data Science.

Data Analysis Course for Beginners SQL ,R, Excel [2025]
Data Analysis Course for Beginners SQL ,R, Excel [2025]

Data Analysis Course for Beginners SQL ,R, Excel [2025] free download

Data Analysis Course for Beginners SQL ,R, Excel. Learn the art of Data Analysis & Visualizations for Data Science.

*Lifetime access to course materials . Udemy offers a 30-day refund guarantee for all courses*

*Taught by instructor with 15+ years of Data Science and Big Data Experience*

The course is packed with real life projects examples and has all the contents to make you Data Literate.


  1. Get Transformed from Beginner to Expert .

  2. Become expert in SQL, Excel and R programming.

  3. Start using SQL queries in Oracle , MySQL and apply learning in any kind of database

  4. Start doing the extrapolatory data analysis ( EDA) on any kind of data and start making the meaningful business decisions.

  5. Start writing simple to the most advanced SQL queries.

  6. Integrate R and Python with Database and execute SQL command on them for data analysis and Visualizations.

  7. Start making visualizations charts - bar chart , box plots which will give the meaningful insights

  8. Learn the art of Data Analysis , Visualizations for Data Science Projects

  9. Learn to play with SQL on R and Python Console.

  10. Integrate RDBMS database with R and Python

  11. Create own database in your laptop/Desktop - Oracle and MySQL

    Import and export data from and to external files.

Real world Case Studies Include the analysis from the following datasets

1. Bank Marketing datasets ( R )

2. Identify which customers are eligible for credit card issuance ( R)

3. Root Cause Analysis of Uber Demand Supply Gap ( R)

4. Investment Case Studies: To identify the top 3 countries and investment type to help the Asset Management Company to understand the global trends ( EXCEL)

5.  Acquisition Analytics on the Telemarketing datasets : Find out which customers are most likely to buy future bank    products using tele-channel. ( EXCEL) )

6. Market fact data.( SQL)