DATACAMP REVIEW [Is It Worth Your Time and Money in 2024?]

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First of all, what’s DataCamp?

DataCamp is a text and video-based platform to learn data science. They currently offer 340+ courses.

And new courses are added regularly.

There are also limited introductory language courses:

• Introduction to Python
• Introduction to R
• Introduction to SQL

📸 DataCamp Snapshot:

DataCamp is a one-stop platform for everything data science.

Get started with DataCamp
👉 here. 👈

Now let’s crack open this platform and see what it’s all about…

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DataCamp Overview: Structure and Layout

Here’s the student homepage for DataCamp.

Based on courses or tracks you choose, this page will be customized to guide you.

Once customized, DataCamp recommends practice problems, other relevant courses to take, and more.

You can also look for courses in the search bar.

On the left of the page is the menu bar with:

• your progress
• courses
• career tracks
• skill tracks
• projects

And beyond.

When you click on courses or skill tracks here, you can browse DataCamp’s offerings by technology.

And from there you’ll get recommendations for courses, skill tracks, career tracks and more.

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DataCamp Review: Courses

DataCamp courses are organized into 12 technologies:

R	Python	SQL
Git	Shell	Spreadsheets
Theory	Scala	Tableau
Excel	Power BI

And from there you can choose what specific course you’d like to take.

Let’s use Python as an example.

DataCamp has over 130 Python-related courses.

They’ve got everything from introductory courses to more complex topics like parallel programming with Dask.

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Now lets see what’s inside one of these courses: Introduction to Python.

🩺 Stats:
Estimated completion time: 4 hours
Videos: 11
Exercises: 57

The Introduction to Python course landing page shows you what to expect in the course.

And then you’ll see the subject of each chapter and what will be covered.

Let’s crack open Chapter 3: Functions and Packages.

This chapter contains 11 lessons using videos, instructions and coding exercises to cover:

• functions
• string methods
• packages
• different ways of importing

And more.

Typically a concept will be introduced in a video.

And from there, you’ll apply what you’ve learned by working on a series of exercises and quizzes.

Note the embedded code editor. You can do all your work on one page instead of toggling to a code editor in another tab.

And once you complete the course, you can download a Statement of Accomplishment. 🎖️

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DataCamp Review: Skill Tracks

If you want to focus more on a particular topic, a skill track may be a better option than taking individual courses.

What is a skill track?

Skill tracks are a curated list of courses, lessons, quizzes, and projects. They’re designed to help you learn real-world skills.

⏰ DataCamp skill tracks typically take about 2-3 months to complete. ⏰

You can choose from 51 skills tracks covering:

• Python Fundamentals
• Data Manipulation
• Applied Finance
• Deep Learning for NLP
• SQL for Business Analysts

And much more.

Let’s stick with the theme of Python and look a little closer at the Python Fundamentals skill track.

🩺 Stats:
Courses: 4
Estimated completion time: 15 hours

This skill track is a collection of 4 Python-related courses:

• Introduction to Python
• Intermediate Python
• Python Data Science Toolbox (Part 1 and 2)

At the end of each course, you can take quizzes to test your concept knowledge.

In addition, you’ll be able to take a Skill Assessment. It will have you solve a series of 15 timed challenges.

And then you’ll get personalized recommendations of how to grow and improve your skills.

And from there you can get that Statement of Accomplishment, of course. 🤓

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DataCamp Review: Career Tracks

If you know you want a career in data science, a DataCamp career track is the way to go.

First off, what’s a career track?

Like skill tracks, career tracks contain courses, lessons, quizzes and projects.

But career tracks are designed to give developers a foundational knowledge of concepts in a specific career discipline.

However, it’s a heavier workload that takes months longer to complete.

⏰ DataCamp career tracks are only for developers serious about getting into the field of data science. They take months of hard work and dedication. ⏰

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DataCamp has 14 career tracks such as:

• Data Scientist with R
• Data Analyst with SQL Server
• Statistician with R

And more.

🐍 Let’s hiss it out and look at a Python career track: Python Programmer. 🐍

🩺 Stats:
Courses: 16
Estimated completion time: 62 hours

Just like the skill tracks, you’ll complete a series of courses.

16 in this case. 👀

It starts with Introduction to Data Science in Python and works its way up to Object-Oriented Programming in Python.

After each course you’ll take a quiz.

And once you finish the career track, you’ll get that coveted Statement of Accomplishment. 🏆

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DataCamp Review: New Courses

DataCamp has over 340 courses that are a blend of text and video learning. Plus, new courses are added regularly.

In addition, DataCamp has a Trello board. It’s an online sticky board where you can keep up to date with their upcoming courses and progress.

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Is there a DataCamp certificate?

Yes.

You can download a Statement of Accomplishment for every completed course.

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DataCamp Cost

You’re probably wondering: Is DataCamp free?

Well, not really. You do get access to the first chapter of every course. And 7 projects.

But you may want to consider a subscription for these perks:

	Free Tier	Monthly Subscription	Yearly Subscription 🤩 Best Deal!
Cost	$0	$25/mo	$33.25/mo
Course Access	First chapter only	All 340+ courses	All 340+ courses
Projects	7	7	86
All Coding Challenges	✅	✅	✅
Skill Assessment	1	Unlimited	Unlimited
Career Tracks	❌	14	14
Skill Tracks	❌	51	51
Mobile App Courses	❌	✅	✅
Community Chat	❌	✅	✅
Tableau, PowerBI, Oracle	❌	❌	✅
Live Sessions	❌	❌	✅
Priority Support	❌	❌	✅

👉 You can check out DataCamp here.

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DataCamp Review: Conclusion

If you’re serious about getting into the field of data science, DataCamp is a must.

With over 340 courses, they cover most corners of data science-related education.

In addition, they offer skill tracks and career tracks which tailor your education to specific data science fields.

Up next: DataCamp vs Codecademy… Who will emerge victorious? Check out our full review here.

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