Hands On Training

Data Manipulation with data table in R

Name: Data Manipulation with data table in R
Brand: Careervira
Price: 71 USD
Availability: InStock
Rating: 5.0 (3 reviews)

DataCamp

(3)

Course Report

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Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Data.table is a high performance package of base R's information.frame. It includes syntax enhancements and features that increase speed, programming speed, and ease-of-use. This course will teach you how to create, subset, and manipulate data.tables. Data.tables features that are database-inspired, such as built-in groupwise operations, will be covered. Learn how to quickly import and export tabular text data such as CSV files. You will learn how to use data.table R for more efficient manipulations, analyses and reporting after the course is over. This course will be covering the San Francisco Bay Area bike share trip dataset that began in 2014.

Highlights

Pedagogy

Top 10 Percentile

Rating & Reviews

Top 30 Percentile

Parameters

Pedagogy

Acquire all major R Programming skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in R Programming, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

Rating & Reviews

This highly acclaimed course is among the top-rated in R Programming, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in R Programming.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Intermediate R

What You Will Learn

Upon completion of the course, you will be able to use data.table in R for a more efficient manipulation and analysis process

You'll explore the San Francisco Bay Area bike share trip dataset

Course Content

Expand all sections

Module 1: Introduction to data table

Module 2: Groupwise Operations

Module 3: Selecting and Computing on Columns

Module 4: Reference Semantics

Course Instructors

Matt Dowle

Author of data.table

Matt Dowle is the main author of the data.table package. Matt has worked for some of the world largest financial organizations and has been programming in R for over a decade.

Arun Srinivasan

R's data.table co-developer

Arun Srinivasan is originally from Tamilnadu, India. He holds a Bachelors degree in Electronics engineering and a Masters degree in Bioinformatics. He started using R in 2010 and has contributed to R...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%