Data Analysis using R(Intermediate)

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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