Data Analysis using R(Intermediate)

By Fair Analytics | September 10, 2021

In this course, we’ll demonstrate how to use tidyverse package family to import, manipulate, clean and prepare data including graph visualization.

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Target audience

The course is aimed for users who :

  • Frequently use tabular data(excel, csv, text).
  • Face difficulties to cope with redundant and repetitive data.
  • Handle big amounts of data but unable to explore the potential of the information inside.

Prerequisites

An equivalent level to the Basics in R programming :

  • Install R / Rstudio.
  • Variable types.
  • Run a basic R code.
  • Conditions and loops.
  • Basic functions
  • Install packages.
  • View results, basic plots/charts.

Course Content

  • Import data using Tidyverse.
  • Clean and prepare data .
  • Manipulate aggregate and transform tabular data.
  • Join multiple data tables.
  • Visualize : represent the information insights in an easy to digest form.
  • Text mining.
  • Text Analytics.
  • Web Scrapping.
  • BI and Reporting using rmarkdown : analytic dashboards, data based presentations and report.

Objective of the course

At the end of the course you will be able to :

  • Import , export data : read from a text/csv file tabular data.
  • Profile and Diagnose: get a clear overview of your data and its corresponding quality.
  • Clean and Impute data : tidy up your data, remove unnecessary information.
  • Manipulate, Transform and Aggregate.
  • Munge and connect your data by joining table : left right full and anti join.
  • Visualize : represent the information insight in an easy to digest form.
  • Create professional reports and dashboards.

Available dates

Pricing

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