–Udemy Training–
Last updated 5/2023
Duration: 5h 51m | .MP4 | 720p | 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
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: https://www.udemy.com/course/rprogram/
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