Reshaping Data with R

Reshaping data is an important step in data management and organization. Statistical methods or data visualization techniques require data to be either wide or long. This course focuses on how to reshape data into wide and long formats using R.

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₹50,004
CompleteBilled Monthly
₹2,370/mo

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Course Insight

Suitable for intermediate learners. Works well as a continuation after mastering Data Science fundamentals. It bridges the gap toward advanced, production-level engineering.

Intermediate FriendlySelf-Paced Learning

SKILLS TO
MASTER

Analytics
Exploratory Data Analysis
ModelingTrending
Predictive Machine Learning
SQL Querying
Relational Data Management
Pandas
Matplotlib
Statistics
Tableau
ETL
Careers:Relevant for professionals pursuing roles within Data Science.

Quick Facts

Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.

What You’ll Learn

  • Course Overview : 1min.
  • Introduction : 23mins.
  • Reshaping Wide Data to Long Data : 37mins.
  • Reshaping Long Data to Wide Data : 29mins.
  • Reshaping Data Based on Aggregated Values : 20mins.
  • Course Recap : 8mins.
See side-by-side differences in what you’ll learn

Description

Have you ever thought about the format of data you are dealing with? Is it long or wide? Which format is better for your analysis? In this course, Reshaping Data with R, you will gain the ability to reshape and aggregate data using the R programming language. First, you will learn how to transform wide-format data into long-format data. Next, you will discover how to reshape data from long format to wide format. Finally, you will explore how to aggregate data with and without group variables. When you are finished with this course, you will have the skills and knowledge of reshaping data needed to manage your data more effectively for statistical analysis and data visualization. Software required: R*

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