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TLDR: DataCamp Career Track Review
๐ฅ DataCamp is the place to learn data science with portfolio-ready projects, courses, skill tracks and career tracks.
๐ฅ Career tracks train you on specific career skills, and typically take 6 months to a year to complete.
๐ฅ DataCamp has 14 data science-related career paths using R, Python and SQL.
๐จ Sign up for DataCamp here. ๐จ
So what exactly is DataCamp?
DataCamp is a learning platform for all things data science.

Using text and video-based tutorials and exercises, you’ll learn:
โ R
โ Python
โ SQL
โ Git
And much more.

From beginner to advanced, DataCamp offers data science courses, skill tracks, career tracks and portfolio-ready projects.
DataCamp Pros & Cons
DataCamp Pros
- 340+ courses
- 51 skill tracks
- 14 data science career paths
- 86+ portfolio-ready projects
- Skill assessments
- Community & Support
- DataCamp Trello board roadmap
- gamified learning environment with XP
DataCamp Cons
- Limited beginner programming courses
- Free access to courses limited to first chapter
What’s a DataCamp career track?
Career tracks contain courses, lessons, quizzes and projects.
They give you a strong foundation for starting a career in data science.
โฒ๏ธ DataCamp career tracks are only for developers serious about starting a career in data science.
They typically take 6 months to a year to complete. โฒ๏ธ

DataCamp has 14 career tracks including:
๐ฃ Data Analyst with SQL Server
๐ฃ Data Engineer with Python
๐ฃ Machine Learning Scientist with R
๐ฃ Machine Learning for Everyone
And more.
DataCamp Career Track Review: Data Scientist with R
๐ฉบ Stats:
โ ๏ธ Level: Beginner
๐ Courses: 19
โฑ๏ธEstimated completion time: 76 hours
In this data science career track, you’ll go through 19 DataCamp R courses.

Using text and video tutorials, quizzes, and interactive exercises, you’ll learn about:
โ how to import, clean, manipulate and visualize data
โ popular Tidyverse R packages like ggplot2, dplyr and readr
โ working with real-world datasets to learn statistical and machine learning techniques
And much more.
You can check out the Data Scientist with R career track
๐ here. ๐
Courses
DataCamp’s Data Scientist with R career track has 19 courses including:
๐ท Indroduction to R
๐ท Intermediate R
๐ท Introduction to the Tidyverse
๐ท Data Manipulation with dyplr
๐ท Joining Data with dyplr
๐ท Introduction to Data Visualization with ggplot2
๐ท Intermediate Data Visualization with ggplot2
๐ท Introduction to Importing Data in R
๐ท Intermediate Importing Data in R
๐ท Cleaning Data in R
๐ท Working with Dates and Times in R
๐ท Introduction to Writing Functions in R
๐ท Exploratory Data Analysis in R
๐ท Case Study: Exploratory Data Analysis in R
๐ท Correlation and Regression in R
๐ท Supervised Learning in R: Classification
๐ท Supervised Learning in R: Regression
๐ท Unsupervised Learning in R
๐ท Cluster Analysis in R

Courses increase in difficulty as you progress along the career track.
Now let’s see what’s inside one of these courses, Cleaning Data in R.
Want to know about Introduction to R?
Check out our review here.
Course Inside DataCamp Career Track: Cleaning Data in R
๐ฉบ Stats:
๐โโ๏ธ Exercises: 44
๐น Videos: 13
โฑ๏ธ Estimated Time: 4 hours

There are 4 chapters in Cleaning Data in R:
- Common Data Problems – convert data types, apply range restraints, remove duplicated data points
- Categorical Text and Data – fix whitespace and capitalization inconsistencies, collapse multiple categories, reformat strings
- Advanced Data Problems – data cleaning, verify values, missing values
- Record Linkage – merge multiple data sets together, calculate similarity between strings, join datasets into master dataset

Each chapter contains lessons, videos, coding challenges and quizzes.
Let’s sneak a peek inside one of these chapters… ๐
Chapter 2: Categorical Text and Data
Lessons, quizzes and videos cover key concepts such as collapsing categories, cleaning text data, and detecting inconsistent text data.

In this chapter of Cleaning Data in R, you’ll learn:
- how to fix whitespace & capitalization in category labels
- collapse multiple categories into one
- reformat strings for consistency
And more.

Is there a certificate of completion for DataCamp career tracks?
Yes. DataCamp calls their certificate of completion a Statement of Accomplishment.

๐ DataCamp offers a Statement of Accomplishment for every successfully completed course, skill track and career track.
DataCamp Projects
DataCamp delivers a series of 86 portfolio-ready projects.
So when you’ve finished your career track, you can get cracking on:
๐ง Visualizing Covid-19 with ggplot2
๐ง Load, transform and understand images of bees in Python
๐ง Classify song genres from audio data
๐ง Analyze international debt statistics with SQL
And many more.

Projects cover topics such as data manipulation, case studies, applied finance, machine learning and beyond.
DataCamp Community and Support

With a yearly subscription, you’ll have access to live support from the DataCamp team. Plus you’ll get to interact with the DataCamp community.
With a monthly subscription, you’ll only have access to the DataCamp community.
And with the free tier, you won’t have any access to support or community.
DataCamp Cost
There is a free tier on DataCamp, though its offerings are limited.
But a subscription gives you plenty of perks:
Free Tier | Monthly Subscription | Yearly Subscription ๐คฉ Best Deal! | |
Cost | $0 | $25/month | $33.25/month |
Course Access | First chapter only | All 340+ courses | All 340+ courses |
Projects | 7 | 7 | 86 |
All Coding Challenges | โ | โ | โ |
Skill Assessment | 1 | Unlimited | Unlimited |
Skill Tracks | โ | 51 | 51 |
Career Tracks | โ | 14 | 14 |
Mobile App Courses | โ | โ | โ |
Community Chat | โ | โ | โ |
Priority Support | โ | โ | โ |
Live Sessions | โ | โ | โ |
Tableau, Power BI, Oracle | โ | โ | โ |
You can check out DataCamp
๐ here. ๐
DataCamp Career Track Review: Conclusion
So to review:
DataCamp is the place to learn data science using:
๐ฅportfolio-ready projects
๐ฅ skill tracks
๐ฅ career tracks
DataCamp has 14 data science-related career tracks using R, Python and SQL technologies.
So no matter what branch of data science you choose, DataCamp probably has a career track for you.
๐ค Not sure if DataCamp is right for you?
Educative.io is a learning paltform with numerous courses related to data science and machine learning.
Check out our review of their Grokking Data Science course here.
- What’s in a DataCamp career track?
DataCamp career tracks include courses, lessons, quizzes and projects in three technologies: R, Python and SQL. Theyโre designed to give developers a deep understanding of concepts in a specific career discipline. And they typically take 6 months to a year to complete. In DataCamp career tracks, you can expect up to dozens of courses to hone in on building your data science skills. There are currently 14 data science career tracks on DataCamp. Career tracks are designed explicitly for you to get a job in the data science career field.
- Does DataCamp have a data scientist career track?
Yes, DataCamp 14 data scientist career tracks. They cover everything from Data Scientist in R to Machine Learning Scientist with Python to Data Engineer with Python. So no matter what particular field of data science you’re interested in, DataCamp probably has something to suit your career goals.
- What DataCamp R courses are there?
There are nearly 150 R courses on DataCamp. They range in difficulty from newbie to advanced. So if you’re a newbie, you can start with something like Introduction to R. But if you’re a little further along in your understanding of R, you can take a course like Intermediate Regression in R or Cleaning Data in R.