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Data Analysis using Python and R for Absolute Beginner
Rating: 3.9 out of 5(75 ratings)
2,159 students

Data Analysis using Python and R for Absolute Beginner

Learn to write code in Python and R for Data Science. Learn art of Data Analysis and Visualization with 8 case studies
Created byPiyush S | insightEdge100.com
Last updated 3/2026
English

What you'll learn

  • Start Data Science career by learning python and R programming
  • 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 sources like 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 program
  • 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

Course content

20 sections • 131 lectures • 12h 31m total length

  • Introduction to Python and R2:38
  • Course Outline4:40

Requirements

  • Students must be passionate about Data
  • Good to have High school level math skills
  • Desktop computer/ laptop for installing software for Python and R

Description

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 data literate using Python & R  codes.

  3. Become expert in using Python Pandas ,NumPy libraries ( the most in-demand ) for data analysis , manipulation and mining.

  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 and bring up the actionable insights.

  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)


Who this course is for:

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

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