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    3. R Programming for Data Science for Absolute Beginners

    R Programming for Data Science for Absolute Beginners

    Posted By: lucky_aut
    Date: 13 Sep 2023 05:16:31
    R Programming for Data Science for Absolute Beginners

    R Programming for Data Science for Absolute Beginners
    Last updated 5/2023
    Duration: 5h 51m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.46 GB
    Genre: eLearning | Language: English

    Learn the art of R programming for Data Science . Learn to analyse and Visualize for Actionable Insights.

    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
    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

    More Info
    UPWARDS