Information Technology
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Importing & Cleaning Data with R

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Course Features

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Duration

14 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

14 hours

Course Description

When working with R, it's essential to know how to prepare your data. This track will teach you how to import data from many sources including.csv and.xls. The skills you will need to prepare your data for analysis include converting data types, filling out missing values and using fuzzy string matching. You'll be able to use your skills in real-world situations such as restaurant reviews and customer asset portfolios. This track will help you gain data preparation skills that can be used to clean up your data.

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Highlights

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Hands on training

Top 10 Percentile

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Pedagogy

Top 30 Percentile

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Parameters

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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.

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Hands on training

This course stands out as one of the top 10 percentile options in R Programming, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training and Capstone Projects / Industry-Simulation as well as essential Virtual Labs, this course is tailored to meet diverse educational needs.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

How to import data from many sources including.csv and.xls

Learn about converting data types, filling out missing values and using fuzzy string matching

Course Instructors

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Maggie Matsui

Curriculum Manager at DataCamp

Maggie is a Curriculum Manager at DataCamp. She holds a Bachelor's degree in Statistics and Computer Science from Brown University, where she spent lots of time teaching math, programming, and statis...
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FILIP SCHOUWENAARS

FILIP SCHOUWENAARS Data Science Instructor at DataCamp

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JEROEN BOEYE

Machine Learning Engineer @ Faktion

Other
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