Python , R programming for Data Science : Absolute Beginners

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Python , R programming for Data Science : Absolute Beginners
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 4.88 GB
Genre: eLearning Video | Duration: 123 lectures (12 hour) | Language: English

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

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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