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The course is packed with real life projects examples

1. Get Transformed from Beginner to Expert .

2. Become data literate using Python & R codes.

3. Become expert in using Python Pandas,NumPy libraries ( the most in-demand )

4. Become expert in R programming.

5. Source Codes are provided for each session in Python so that you can practise along with the lectures..

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

7. Start python and R programming professionally

8. Extract data from various sources like websites, pdf files, csv and RDBMS databas

9. Start using the highest in-demand libraries used in Data Science / Data Analysis project : Pandas , NumPy ,ggplot

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

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

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

13. Integrate RDBMS database with R and Python

Real world Case Studies Include the analysis from the following datasets

1. Melbourne Real Estate ( Python )

2. Market fact data.( Python )

3. Car Datasets( Python )

4. Covid 19 Datasets( Python )

5. Uber Demand Supply Gap ( R )

6. Bank Marketing datasets ( R )

7. Investment Case Study (Excel)

8. Market fact data.( SQL)