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Data Scientist in R

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Learn data science with R, from data manipulation to machine learning, and gain the skills needed for the Data Scientist in R certification!
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R27 hours

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Track Description

Data Scientist in R

Master the skills you need to pass the Data Scientist in R certification and prepare yourself for success in the field of data science. As you progress through the courses in this track, you will focus on using R for data science. You will explore how learning data science with R can help you to import, clean, manipulate, and visualize data, and develop a solid foundation for your data science journey. You’ll cover a range of different skills, including data manipulation, visualization, and analysis, using popular R packages like ggplot2, dplyr, and readr. You will work with real-world datasets as you write your own functions and learn foundational statistical and machine learning techniques. You will also gain an understanding of SQL for relational databases and Git for data science projects, two essential tools for any data scientist. Through interactive exercises, you will get hands-on experience with R programming and the popular packages used in the field of data science. Completing this track will give you the knowledge and experience necessary to confidently pass the Data Scientist in R certification and thrive as a data scientist.

Prerequisites

Associate Data Scientist

  • Course

    31

    Intermediate Importing Data in R

    Parse data in any format. Whether it's flat files, statistical software, databases, or data right from the web.

  • Course

    32

    Developing R Packages

    Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

  • Course

    34

    Feature Engineering in R

    Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

  • Course

    35

    Introduction to SQL

    Learn how to create and query relational databases using SQL in just two hours.

  • Course

    36

    Intermediate SQL

    Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!

  • Project

    bonus

    Analyzing Students' Mental Health

    Use your data manipulation skills to perform exploratory data analysis on a dataset around student mental health.

  • Course

    38

    Joining Data in SQL

    Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.

  • Course

    40

    Introduction to Git

    Discover the fundamentals of Git for version control in your software and data projects.

  • Course

    41

    Intermediate Git

    Discover branches and remote repos for version control in collaborative software and data projects using Git!

Data Scientist in R
9 courses
Track
Complete

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