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Python , R programming for Data Science : Absolute Beginners

Learn to write code in Python and R for Data Science. Learn art of Data Analysis and Visualizations .
Start Data Science python and R programming professionally .
Start using powerful Python libraries used in Data Science project Pandas , NumPy with Python
Start using powerful ggplot libraries used in Data Science project in R
Extract data from various websites,twitter, pdf files, csv and RDBMS databases
Start doing the extrapolatory data analysis ( EDA) on any kind of data and start making the meaningful business decisions
Start making visualisations charts - bar chart , box plots which will give the meaningful insights
Learn the art of doing EDA on excel
Integrate SQL with python and R programming
Solve the real world problem with the case studies
And Probably start applying for the best job in the world
Do hands on 8 - real world case studies like Covid19, Bank Marketing, Investment , Uber Demand Supply

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

The course is packed with real life projects examples

  1. Get Transformed from Beginner to Expert .

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

  3. Become expert in R programming.

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

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

  6. Start python and R programming professionally

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

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

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

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

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

  12. 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)

You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Includes

12 hours on-demand video
1 article
12 lectures
Full lifetime access
Access on mobile and TV
Certificate of Completion

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