Associate Data Scientist in R

Learn how to use R for data science, from data manipulation to machine learning, and gain the career-building R skills you need to succeed as a data scientist. As you progress through the courses in this track, you’ll explore how learning data science with R can help you to import, clean, manipulate, and visualize data. R is a versatile language for any aspiring data professional or researcher, and by learning the integral skills, you’ll develop a solid foundation for your data science journey. Through interactive exercises, you’ll get hands-on with some of the most popular R packages, including tidyverse packages like ggplot2, dplyr, and readr. You’ll work with real-world datasets as you write your own functions and learn foundational statistical and machine learning techniques. Start this track, grow your R programming and data science skills, and begin your journey to confidently pass the Associate Data Scientist in R certification and thrive as a data scientist.

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Introduction to R

Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

4 hours

Intermediate R

Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

6 hours

Introduction to the Tidyverse

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

4 hours

Data Manipulation with dplyr

Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

4 hours

Analyze the relative popularity of programming languages over time based on Stack Overflow data.

2 hours

Joining Data with dplyr

Learn to combine data across multiple tables to answer more complex questions with dplyr.

4 hours

Introduction to Statistics in R

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

4 hours

Introduction to Data Visualization with ggplot2

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

4 hours

Intermediate Data Visualization with ggplot2

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

4 hours

Data Manipulation with R

Data Communication Concepts

No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.

3 hours

Introduction to Importing Data in R

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

3 hours

Cleaning Data in R

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

4 hours

Exploring Airbnb Market Trends

Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.

2 hours

Working with Dates and Times in R

Learn the essentials of parsing, manipulating and computing with dates and times in R.

4 hours

Importing & Cleaning Data with R

Introduction to Writing Functions in R

Take your R skills up a notch by learning to write efficient, reusable functions.

4 hours

R Programming

Exploratory Data Analysis in R

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

4 hours

Introduction to Regression in R

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

4 hours

Modeling Car Insurance Claim Outcomes

Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!

2 hours

Intermediate Regression in R

Learn to perform linear and logistic regression with multiple explanatory variables.

4 hours

Sampling in R

Master sampling to get more accurate statistics with less data.

4 hours

Hypothesis Testing in R

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

4 hours

Hypothesis Testing with Men's and Women's Soccer Matches

Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's!

2 hours

Experimental Design in R

In this course you'll learn about basic experimental design, a crucial part of any data analysis.

4 hours

Statistics Fundamentals with R

Supervised Learning in R: Classification

In this course you will learn the basics of machine learning for classification.

4 hours

Supervised Learning in R: Regression

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

4 hours

Unsupervised Learning in R

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

4 hours

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Associate Data Scientist in R

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Data Scientist Certification available

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Data Scientist Certification available

Instructors

FAQs

Which jobs will benefit from this Track?

How will this Track prepare me for my career?

How long does it take to complete this Track?

What's the difference between a skill track and a career track?

What types of topics will be covered in this Track?

What types of datasets will I be working with?

Does DataCamp offer Data Scientist Certification?

Join over .css-ou6dz6{color:#03ef62;}15,140,000 learners and start Associate Data Scientist in R today!

Create Your Free Account

Training 2 or more people?

Join over 15,140,000 learners and start Associate Data Scientist in R today!