is datacamp worth it? datacamp vs codecademy vs educative w/blue and turqouoise background

DataCamp Review: Is DataCamp Worth It in 2021? [DataCamp vs Codecademy vs Educative.io]

Is DataCamp worth it in 2021? Well, that all depends on how far along you are on your data science journey.

DataCamp is a learning platform geared towards people interested in pursuing a career in data science.

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TLDR: Is DataCamp Worth it?

DataCamp has over 350 courses related to data science, machine learning, data engineering and deep learning. ⚡

🚨 Technologies include Python, SQL, Tableau, Power BI and more. 🚨

📣 Want to get straight to the DataCamp review? Use the table of contents above.

💥 Ready to dive into data science? 💥
Sign up for DataCamp.

📹 My video review of DataCamp

DataCamp vs Codecademy vs Educative.io

DataCampCodecademyEducative.io
Data Science Courses
Data Science Skill Paths
Data Science Career Paths
Projects
Support
Community
Certificate of Completion
Cost$300/year$239.88/year$199/year

🌠 What is DataCamp?

DataCamp is a text and video-based platform that focuses primarily on data science courses. They currently offer over 300 courses to develop your data science skills.

There are also programming courses. However, these are limited and focus on basic programming concepts. So you won’t get a deep foundational programming knowledge from DataCamp.

Pros

  • Data science learning haven
  • Skill assessments
  • Courses
  • Skill tracks
  • Career tracks
  • Projects
  • gain XP with gamified learning environment
  • Community
  • Statement of Accomplishment (certificate of completion)

Cons

  • Minimal beginner programming courses

👉 Sign up to DataCamp for FREE today.

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


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:

This is the landing page for DataCamp.

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:

You can browse DataCamp offerings by technology.

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


DataCamp Review: Courses

DataCamp courses are organized into 12 technologies:

RPythonSQL
GitShellSpreadsheets
TheoryScalaTableau
ExcelPower 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(!):

DataCamp review: Just a few of the over 130 Python courses on DataCamp.

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


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

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

DataCamp review: The Introduction to Python course landing page includes the course description, chapter breakdown and other course-related information.

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:

DataCamp Review: Chapter 3 – Functions and Packages in the course Introduction to Python.

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:

DataCamp review: Video explanation of functions in Introduction to Python.

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

Typical learning environment in the Introduction to Python course on DataCamp.

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. 🎖️



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:

DataCamp has 51 skill tracks for Python, R, SQL, Shell, spreadsheets and theory.

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:

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:

DataCamp review: Example of a Skill Assessment in the Python Fundamentals skill track.

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. 🤓


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. ⏲️



DataCamp has 14 career tracks such as:

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

And more:

DataCamp offers 14 career tracks in the data science field using Python, R and SQL.

🐍 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:

DataCamp review: There are 14 career tracks including Python Programmer. Each career track contains a series of courses and skill assessments.

After each course you’ll take a quiz.

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


DataCamp Review: New Courses

DataCamp has over 350 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:

DataCamp Trello board

Is there a DataCamp certificate?

Yes.

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

Sample of a Statement of Accomplishment, DataCamp’s version of a certificate of completion. You can download one for each finished course, skill track or career track.

💰 Cost

There are 3 subscription tiers on DataCamp:

FreeStandard – $25 per monthPremium – $33.25 per month
🤩 Best Deal!
Course
Access
1st chapter
Skill
Assessments
1
Projects7
Skill Tracks
Career
Tracks
Mobile App
Courses
Community
Tableau,
Power Bi &
Oracle
Priority Support

👉 Sign up for DataCamp now.

So, is DataCamp worth it?

If you already have a strong foundational knowledge of programming languages, DataCamp is worth it.

However, if you have little to no coding experience, we recommend you explore the fundamentals elsewhere, like Codecademy or Educative.io.


🌠 What is Codecademy?

Codecademy is an interactive platform that offers coding courses in 14 different programming languages. This includes some of the most in demand for data science:

🔹Python 🔹R 🔹C 🔹C++ 🔹Java

And more.

In addition, they offer data science skill paths and career paths.

Pros

  • Plenty of data science courses
  • Data science skill paths
  • Data science career path
  • Certificate of completion

Cons

  • No full spectrum of data science courses

👉 Sign up now for your 7-day free trial of Codecademy Pro.

To get a better idea of the layout, let’s take a closer look at their course Learn Python 3.

Course: Learn Python 3

⚠️ Level: Beginner

The Codecademy Pro course Learn Python 3 is broken down into 11 modules:

SyntaxFunctionsControl Flow
ListsLoopsStrings
ModulesDictionariesFiles
ClassesFunction Arguments
course lesson outline for lists in Python 3 on Codecademy Pro
Example of module in Python 3 course on Codecademy Pro

Each module contains lessons, quizzes and projects.

And for more complex concepts, you’ll also find videos, articles and other relevant resources:

Tuples code in Python 3 explanation from Codecademy Pro
Video explanation of Tuples in Learn Python 3 course on Codecademy Pro

Plus you can interact with the community for further support.

Lessons

Lessons give you a brief concept explanation. And from there, you’ll follow a set of instructions to practice in the embedded code editor:

Length of a list instructions and code editor in Learn Python 3 course from Codecademy Pro
Example of learning environment on Codecademy Pro

Finally, there’s a concept review section to go over what you’ve just learned. This is helpful with retaining information.

Bonus: if you still need some help, you can hop on over to their community forums.

Quizzes

Codecademy Pro has multiple choice quizzes in every module. These are helpful in confirming your understanding of what you’ve just learned:

multiple choice on lists in Codecademy Pro
Quiz example in CodeCademy Pro

Projects

Codecademy Pro is unique because they offer multiple projects per module:

Len's Slice instructions to code a list of pizza toppings into code editor on Codecademy Pro
Len’s Slice project on Codecademy Pro

Most other platforms offer one or two projects per course. So this gives you plenty of practice.

Code Editor

The built-in code editor in Codecademy Pro is convenient, though its features are limited. However, you’ll be able to run your code just like you would in a regular old Python interpreter:

code editor for creating a function of every_three_nums with instructions, editor, and "run" button
Example of code editor on Codecademy Pro

💰 Cost

Codecademy has 3 subscription tiers:

FreeMonthly – $39.99Yearly – $239.88
🤩 Best Deal!
Access to
courses
Skill Paths
Career Paths
Real-world
Projects
Step-by-step
Guidance
Peer Support
Members-only
Support

👉 Sign up for your 7-day free trial of Codecademy Pro.

So, is Codecademy worth it?

Codecademy is worth it for programmers interested in pursuing a data science career. It provides programming fundamentals alongside data science skill paths and career paths.

The benefit of Codecademy is the extensive programming language offerings. So this platform would be best paired with DataCamp for a more complete data science education.

Want to learn more about Codecademy? Check out our full review.


🌠 What is Educative?

Educative.io is a text-based learning platform with media-rich courses. They feature diagrams, code snippets, illustrations and more.

And while there’s an emphasis on programming languages, there are ample data science-related courses.

Pros

  • Ample data science-related courses
  • Data science-related skill paths

Cons

  • Limited community / help

👉 Sign up now for your 7-day free trial of Educative.io.

Let’s take a look at one of their introductory courses, Full Speed Python.

Course: Full Speed Python

⚠️ Level: Beginner

Full Speed Python contains 9 modules:

  • Basic Data Types
  • Lists
  • Modules and Functions
  • Iteration & Loops
  • Dictionaries
  • Classes
  • Iterators
  • Generators
  • Asynchronous Programming
Example of course module on Educative.io

And each module contains:

✅ Lessons

✅ Code Snippets

✅ Playgrounds

✅ Quizzes

✅ Challenges

And more.

Lessons

Each lesson provides written explanations and instructions. And sometimes code snippets.

From there you’ll practice the coding concept in the embedded interactive playground:

Typical learning environment on Educative.io

There are also plenty of illustrations to help aid in concept explanations:

Example of illustrations on Educative.io

Quizzes

Yes, Educative.io has them!

Quiz on Educative.io

Challenges

The challenges on Educative.io are somewhat complex, but well explained:

Challenge example on Educative.io

💰 Cost

There are 3 subscription tiers for Educative.io:

FreeMonthly
– $59.99
Yearly – $199
🤩 Best Deal!
Access to 20+
free courses
Unlimited access to 155+ courses
Unlimited access to
13+ learning tracks

Whereas there aren’t as many bells and whistles (like a certificate of completion) attached to an Educative.io subscription… The courses are jam-packed with information from quality instructors.

So whether you just want to take a few data science courses or delve deep into programming languages, Educative.io is an excellent choice.

👉 Sign up for your 7-day free trial of Educative.

So, is Educativ.ioe worth it?

Similar to Codecademy, Educative.io focuses heavily on programming languages. But it does have a few data science courses sprinkled throughout the platform.

So it’s great for bulking up your foundational knowledge of programming languages. And for getting your feet wet in the realm of data science.

Want to learn more about Educative.io? Check out our full review.


Is DataCamp Worth It? Conclusion

Is DataCamp worth it? Well, as we noted, there are benefits to DataCamp vs Codecademy vs Educative.io:

DataCamp is ideal for those already equipped with a coding background. It contains courses teaching minimal programming fundamentals, but it does focus heavily on data science.

Codecademy is a solid intermediate platform. They offer plenty of programming language courses from beginner to advanced. They also have data science-related skill paths and career paths.

Educative.io is the best platform for absolute beginners. With Educative.io, you can build a solid foundation of programming fundamentals. And from there, you can dabble in some data science courses and decide if data science is right for you.

So is DataCamp worth it? Well to ensure you have access to a mashup of programming language courses and data science courses, we recommend combining either Codecademy and DataCamp, or Educative.io and DataCamp.

Up next: The Complete Python Developer: Zero to Mastery by Andrei Neagoie [review]

  1. Is DataCamp worth it?

    DataCamp is ideal for those already equipped with a coding background. It contains courses teaching minimal programming fundamentals, but it does focus heavily on data science. So to ensure you have access to a mashup of programming language courses and data science courses, we recommend combining either Codecademy and DataCamp, or Educative.io and DataCamp.

  2. What is the data science definition and example?

    Data science is the study of data. This includes recording, storing and analyzing data. And from there, extracting useful information. So whether it's structured or unstructured, data scientists use scientific methods, statistics, processes and algorithms to gain insight into data. Some examples of real-world data science being put to use in our everyday lives include GPS tracking, disease outbreak prediction, optimizing flight routes, banking & finance, ecommerce, education and social media.

  3. Do data scientists code?

    Yes, data scientists do code. When it comes to data science, programming is an essential skill you must have a foundational knowledge of. Some of the most frequently used programming languages data scientists use include Python, C++, C, Java and R. Many data scientists also use SQL. So if you don't already have a coding background, you'll want a learning platform that has plenty of programming courses. For example, while DataCamp has plenty of data science courses, they don't have many courses for programming languages. But Codecademy and Educative.io do.

  4. What is DataCamp?

    DataCamp is a learning platform geared towards people interested in pursuing a career in data science, data analysis, machine learning, and more. It uses a blend of interactive learning and videos in courses, skill paths and learning paths.