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Learn to write code in Python and R for Data Science. Learn art of Data Analysis and Visualizations .

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Python , R programming for Data Science : Absolute Beginners

 

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What you’ll learn

  • 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

 

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  1. t in using Python Pandas,NumPy libraries ( the most in-demand )
  2. Become expert in R programming.
  3. Source Codes are provided for each session in Python so that you can practise along with the lectures..
  4. Start doing the extrapolatory data analysis ( EDA) on any kind of data and start making the meaningful business decisions
  5. Start python and R programming professionally
  6. Extract data from various sources like websites, pdf files, csv and RDBMS databas
  7. Start using the highest in-demand libraries used in Data Science / Data Analysis project : Pandas , NumPy  ,ggplot
  8. Start making visualizations charts – bar chart , box plots which will give the meaningful insights
  9. Learn the art of Data Analysis , Visualizations for Data Science Projects
  10. Learn to play with SQL on R and Python Console.
  11. 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)

Who this course is for:

  • Looking to change career into Data Science field
  • Beginner who are passionate about Data

Learn to write code in Python and R for Data Science. Learn art of Data Analysis and Visualizations .

Python , R programming Data Science : Beginners


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