What you'll learn

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

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

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

The course is packed with real life projects examples

Get Transformed from Bner to Expert .

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

Become expert in R programming.

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

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

Start python and R programming professionally

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

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

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

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

Learn to play with SQL on R and Python Console.

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

Bner who are passionate about Data



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