Data Management and Preparation Using R from Pluralsight

Data management and data preparation is a very important yet widely overlooked part of data analysis. Importing, selecting a proper class, cleaning, and filtering are all part of data preparation and will be taught in this course.

Have you ever encountered problems in data analysis just because the data was not clean, had a wrong format, or was simply messy? Data preparation is an immensely important yet overlooked field in data science. Most of the time of a data professional is not spent analyzing or visualizing, it is spent getting data ready as clean and well-structured as possible. R is a widely used open source tool with an active user community. This community created high quality add on packages for data preparation. In this course, Data Management and Preparation Using R, you will not only learn about data preparation in R Base, you will also learn about those add on packages that make R so powerful. First, you'll learn about data importing, cleaning, and structuring (selecting the right class). Next, you'll explore data querying. Finally, you will learn about dplyr, tidyr, reshape2 and data.table. At the end of this course, you will be able to select the right tools and efficiently perform data import, formatting, cleaning, and querying.

What's inside

Syllabus

Course Overview

Introduction

Selecting Suitable Classes and Importing Data

Cleaning Data with tidyr

Data Filtering and Querying with dplyr and data.table

Course Recap and Your Next Steps

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers foundational and intermediate skills in R, preparing learners for a deeper dive into data science

Imparts practical knowledge on leveraging R packages for efficient data preparation, addressing a critical aspect of data analysis often overlooked

Introduces dplyr, tidyr, reshape2, and data.table, extending learners' toolkit for data manipulation and analysis

Suitable for learners with basic experience in data analysis or programming, providing a solid foundation for further studies

Taught by Martin Burger, an experienced instructor in data science and machine learning

Part of a comprehensive series of courses on data science, providing a structured learning path for those seeking to advance their skills

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Management and Preparation Using R with these activities:

R Beginner Refresher

Show steps

Brush up your knowledge and skills in R to ensure you have a strong foundation before taking this course.

Browse courses on R Programming

Show steps

Revisit R syntax and data types
Review basic data manipulation functions

Read R for Data Science

Show steps

Gain a deeper understanding of R concepts through a comprehensive and beginner-friendly book, providing a solid foundation for this course.

View R for Data Science: Import, Tidy, Transform,... on Amazon

Show steps

Read chapters 1-3 to understand R basics, data types, and data manipulation
Work through the exercises to reinforce your learning

Complete R Data Manipulation Tutorial

Show steps

Follow a structured tutorial to learn essential data manipulation techniques in R, building your proficiency in data preparation.

Show steps

Find a comprehensive tutorial on R data manipulation
Work through the tutorial, completing all exercises and assignments

Four other activities

Expand to see all activities and additional details

Show all seven activities

Data Cleaning Exercises

Show steps

Enhance your data cleaning skills by working through guided exercises, improving your ability to handle messy data in this course.

Show steps

Complete at least 10 exercises on data cleaning and manipulation
Review solutions and identify areas for improvement

Create Data Preparation Cheat Sheet

Show steps

Reinforce your learning and improve recall by creating a cheat sheet that summarizes key data preparation concepts and techniques.

Show steps

Organize and summarize important concepts from the course
Include examples and code snippets for easy reference

Data Cleaning Project

Show steps

Apply your data preparation skills to a real-world dataset, enhancing your ability to handle complex and messy data in practice.

Show steps

Find a suitable dataset that requires significant cleaning and preparation
Apply the techniques learned in this course to clean and prepare the dataset
Analyze the cleaned dataset and draw insights

Connect with Experienced Data Scientists

Show steps

Seek guidance and support from experienced data scientists to enhance your learning and career development.

Show steps

Attend industry events and meetups
Connect with data scientists on LinkedIn

Career center

Learners who complete Data Management and Preparation Using R will develop knowledge and skills that may be useful to these careers:

Data Science Manager

A Data Science Manager needs to have a strong understanding of data management and preparation in order to effectively lead a team of data scientists. This course will teach you how to import data, clean it, and prepare it for analysis. You will also learn how to use R to perform data querying and filtering. This course will give you the skills you need to succeed as a Data Science Manager.

See salaries and explore the career path for Data Science Manager

Machine Learning Engineer

A Machine Learning Engineer needs to be able to manage and prepare data in order to build and train machine learning models. This course will teach you how to import data, clean it, and prepare it for analysis. You will also learn how to use R to perform data querying and filtering. This course will give you the skills you need to succeed as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Statistician

A Statistician needs to be able to manage and prepare data in order to analyze it and draw conclusions. This course will teach you how to import data, clean it, and prepare it for analysis. You will also learn how to use R to perform data querying and filtering. This course will give you the skills you need to succeed as a Statistician.

See salaries and explore the career path for Statistician

Data Analyst

A Data Analyst needs to be able to manage and prepare data in order to analyze it and draw conclusions. This course in Data Management and Preparation Using R will help you develop the skills you need to succeed. You will learn how to import data, clean it, and prepare it for analysis. You will also learn how to use R to perform data querying and filtering. This course will give you a strong foundation for a career as a Data Analyst.

See salaries and explore the career path for Data Analyst

Data Engineer

A Data Engineer needs to be able to manage and prepare data in order to make it available for analysis. This course in Data Management and Preparation Using R will help you develop the skills you need to succeed. You will learn how to import data, clean it, and prepare it for storage. You will also learn how to use R to perform data querying and filtering. This course will give you a strong foundation for a career as a Data Engineer.

See salaries and explore the career path for Data Engineer

Data Scientist

A Data Scientist needs to be able to manage and prepare data in order to analyze it and draw conclusions. This course in Data Management and Preparation Using R will help you develop the skills you need to succeed. You will learn how to import data, clean it, and prepare it for analysis. You will also learn how to use R to perform data querying and filtering. This course will give you a excellent foundation for a career as a Data Scientist.

See salaries and explore the career path for Data Scientist

Financial Analyst

A Financial Analyst needs to be able to manage and prepare data in order to analyze it and draw conclusions. This course in Data Management and Preparation Using R will help you develop the skills you need to succeed. You will learn how to import data, clean it, and prepare it for analysis. You will also learn how to use R to perform data querying and filtering. This course will give you a strong foundation for a career as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

An Operations Research Analyst needs to be able to manage and prepare data in order to analyze it and draw conclusions. This course in Data Management and Preparation Using R will help you develop the skills you need to succeed. You will learn how to import data, clean it, and prepare it for analysis. You will also learn how to use R to perform data querying and filtering. This course will give you a strong foundation for a career as an Operations Research Analyst.

See salaries and explore the career path for Operations Research Analyst

Business Analyst

A Business Analyst needs to be able to manage and prepare data in order to analyze it and draw conclusions. This course in Data Management and Preparation Using R will help you develop the skills you need to succeed. You will learn how to import data, clean it, and prepare it for analysis. You will also learn how to use R to perform data querying and filtering. This course will give you a strong foundation for a career as a Business Analyst.

See salaries and explore the career path for Business Analyst

Software Engineer

A Software Engineer needs to be able to manage and prepare data in order to develop and test software applications. This course in Data Management and Preparation Using R will help you develop the skills you need to succeed. You will learn how to import data, clean it, and prepare it for analysis. You will also learn how to use R to perform data querying and filtering. This course will give you a strong foundation for a career as a Software Engineer.

See salaries and explore the career path for Software Engineer

Quantitative Analyst

A Quantitative Analyst needs to be able to manage and prepare data in order to analyze it and draw conclusions. This course in Data Management and Preparation Using R will help you develop the skills you need to succeed. You will learn how to import data, clean it, and prepare it for analysis. You will also learn how to use R to perform data querying and filtering. This course will give you a strong foundation for a career as a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Actuary

An Actuary needs to be able to manage and prepare data in order to analyze it and draw conclusions. This course in Data Management and Preparation Using R will help you develop the skills you need to succeed. You will learn how to import data, clean it, and prepare it for analysis. You will also learn how to use R to perform data querying and filtering. This course will give you a strong foundation for a career as an Actuary.

See salaries and explore the career path for Actuary

Database Administrator

A Database Administrator needs to be able to manage and prepare data in order to maintain and optimize databases. This course in Data Management and Preparation Using R will help you develop the skills you need to succeed. You will learn how to import data, clean it, and prepare it for analysis. You will also learn how to use R to perform data querying and filtering. This course will give you a strong foundation for a career as a Database Administrator.

See salaries and explore the career path for Database Administrator

Data Visualization Specialist

A Data Visualization Specialist needs to be able to manage and prepare data in order to create visualizations that communicate data insights. This course in Data Management and Preparation Using R will help you develop the skills you need to succeed. You will learn how to import data, clean it, and prepare it for analysis. You will also learn how to use R to perform data querying and filtering. This course will give you a strong foundation for a career as a Data Visualization Specialist.

See salaries and explore the career path for Data Visualization Specialist

Data Architect

A Data Architect needs to be able to manage and prepare data in order to design and implement data architectures. This course in Data Management and Preparation Using R will help you develop the skills you need to succeed. You will learn how to import data, clean it, and prepare it for analysis. You will also learn how to use R to perform data querying and filtering. This course will give you a strong foundation for a career as a Data Architect.

See salaries and explore the career path for Data Architect