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R Programming for Data Science for Absolute Beginners
Rating: 4.4 out of 5(13 ratings)
1,550 students

R Programming for Data Science for Absolute Beginners

Learn the art of R programming for Data Science . Learn to analyse and Visualize for Actionable Insights.
Last updated 10/2023
English

What you'll learn

  • R programming from Beginning to Advance.
  • Data Visualizations using ggplot and Base plots
  • When , which and how to plot for Inferences
  • Learn to plot scatter , bar chart , histograms, time-series
  • Create and access R objects - vectors,list,factors, dataframes , matrices
  • Learn to write conditions, loops and functions
  • Upload real world data like bank marketing data with 45,000 records

Course content

6 sections66 lectures5h 50m total length
  • Welcome to the Course2:01
  • Introduction to the Course2:22
  • Installation of R and R Studio5:43
  • Understanding R Studio7:18
  • Understanding Datatypes in R2:03
  • Crash Course in R - 110:00
  • Quizes - Basics of R - 1
  • Crash Course in R - 22:15
  • Crash Course in R - 33:14
  • Introduction to Vectors2:01
  • Vectors in R - 18:30
  • Vectors in R - 215:21
  • Quiz Vectors
  • Factors in R -16:01
  • Factors in R -25:27
  • Quiz Factors
  • Introduction to Matrices1:34
  • Matrices9:42

Requirements

  • Must be passionate about Data

Description

**** Reviews****

I m gaining great new skills with this course. I had no exp in R , now I m gaining confidence . Recommended for the beginners - Myint Htoo

**** Lifetime access to course materials . 100% money back guarantee ****

  • If you are an absolute beginners in R , then this is the place .

  • Learn R program right from the basic to intermediate and advance level.

  • Learn how to do data visualizations on all kind of data sets.

  • Create and access various R datatypes and objects like vectors,factors and dataframes.

  • Create your own functions , loops and conditions.

  • Work on various plots : scatter , box plots , histograms, bar charts and derive the business and actionable insights.

  • Upload real world data like bank marketing data with 45,000 records

  • Create and access R objects - vectors,list,factors, dataframes , matrices

  • Do various mathematical operations on dataframes , vectors , list and other R objects.

  • When , which and how to plot for Inferences

  • Learn to write conditions, loops and functions



    Case Study Include:

  • Identify which customers are eligible for credit card issuance

    -> Use R functions , loops and apply R knowledge gained to resolve the real world problem


  • Root Cause Analysis of Uber Demand Supply Gap

    ->Understand business problems.

    ->Upload Uber Datasets ( drop time, pickup time, driver ID , destination , pickup point )

    ->Do the data visualizations and find the various insights from the datasets

    -> Prepare PPT for the company CEO and other stakeholders.



Who this course is for:

  • Beginners who are looking to enhance their data science skills