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Importing & Cleaning Data with R

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Total Duration
14 Hours

Understanding how to prep your data is an essential skill when working in R. It’s what you have to do before you can reveal the insights that matter. In this track, you’ll learn how to import your data from a variety of sources, including .csv, .xls, text files, and more. You'll then gain the skills you'll need to prepare your data for analysis, including converting data types, filling in missing values, and using fuzzy string matching. Throughout the track, you'll have the chance to apply …

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Courses in this Learning Path
1
Introduction to Importing Data in R
DataCamp Course via DataCamp
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Duration : 3 hours
Price :₹1,093
Level :Beginner
Learn Type :Certification
Introduction to Importing Data in R

Importing data into R is the easiest way to start your analysis. Data can come in many formats. These formats include text files, statistical software files, as well as databases or HTML data. Before you begin the actual analysis, it is crucial to choose the right approach. This course will show you how to read text files and.csv files using R. Next you will learn about data.table and reader …

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2
Intermediate Importing Data in R
DataCamp Course via DataCamp
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Duration : 3 hours
Price :₹1,093
Level :Intermediate
Learn Type :Certification
Intermediate Importing Data in R

This course will provide a deeper understanding of the various data formats. This course will teach you how to import data into relational databases and how to use data from the internet. Practical experience will also be gained with data import using statistical software packages such as SAS, STATA, and SPSS.

3
Cleaning Data in R
DataCamp Course via DataCamp
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Duration : 4 hours
Price :₹1,093
Level :Intermediate
Learn Type :Certification
Cleaning Data in R

Data scientists spend around 80% of their time cleaning and manipulating data and 20% on analysing it. Spending time cleaning data is crucial as it can lead to incorrect conclusions.

This course will show you how to clean up data. This course will teach you how to use R to identify errors in data and correct them with fuzzy string matching and data transformation. Learn how to work with real data …

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4
Reshaping Data with tidyr
DataCamp Course via DataCamp
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Duration : 4 hours
Price :₹1,093
Level :Intermediate
Learn Type :Certification
Reshaping Data with tidyr

It can be overwhelming to deal with complex and confusing data sets. To organize this data, tidyr can be used to make it neater. The rows will contain the accessible values from column names. JSON files will convert to data frames. The missing values will not be lost again. These techniques can be used to analyze a wide range of data sets. This will reveal how many dogs were sent into space by …

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5
Exploring the NYC Airbnb Market
DataCamp Course via DataCamp
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Price :₹1,093
Level :Beginner
Learn Type :Certification
Exploring the NYC Airbnb Market

This project will require you to use your data cleaning and importing skills to gain insights into the New York City Airbnb market. To answer questions about New York's Airbnb market, you will need to import data from different file types. To extract the correct information from the data, you will need to use your date manipulation and string cleaning skills. Data scientists use these packages …

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6
Importing & Cleaning Data with R
DataCamp Course via DataCamp
learnpath-img
Duration : 14 hours
Price :₹1,093
Level :Intermediate
Learn Type :Certification
Importing & Cleaning Data with R

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 …

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