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 ggDescription 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 Descriptions 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
**** Lifetime 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 Beginner 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 ,ggDescription
Start making visualizations charts - bar chart , box Descriptions 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
Beginner who are passionate about Data

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