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

Is DataCamp Worth It in 2020? [DataCamp vs Codecademy vs Educative Review]

Is DataCamp worth it in 2020? 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.

πŸ“£ Want to get straight to the review? Check out our table of contents above.

If you’re curious about 3 of the most commonly asked questions about this compelling career field, read on.

1. “So what is data science anyway?”

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.

You generally want a platform that is going to teach you the theoretical alongside the practical… like DataCamp.

And you may be wondering how data science is used in the real world.

2. “What are some data science real-time examples?”

Some aspiring data scientists are interested in the right here, right now.

Here are some examples of real-world data science being put to use in our everyday lives:

GPS tracking data courtesy Towards Data Science

πŸ”Ήdisease outbreak prediction like Covid-19

πŸ”Ήoptimizing flight routes

πŸ”Ήbanking & finance

πŸ”Ήecommerce

πŸ”Ήeducation

πŸ”Ή social media

πŸ”ΉGPS

And that’s just for starters.

3. “Do data scientists 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, SQL and R.

Image courtesy of Business Over Broadway

So if you don’t already have a coding background, you’ll want a learning platform that has plenty of programming courses.

And that’s where DataCamp vs Codecademy vs Educative comes in.

Today we’re pitting these 3 platforms against each other based on three main criteria:

  • data science courses
  • programming courses
  • cost

And some other criteria for good measure.

Plus, we’ll tear apart 3 similar introductory Python courses to give you an idea of what to expect with each platform.

From there, you can decide “is DataCamp worth it?” Or which platform is right for you based on your background, experience and data science goals.

This post contains affiliate links. I may receive compensation if you buy something. Read my disclosure for more details.

DataCamp vs Codecademy vs Educative

DataCampCodecademyEducative
Data Science Coursesβœ…βœ…βœ…
Data Science Skill Pathsβœ…βœ…βœ…
Data Science Career Pathsβœ…βœ…βŒ
Projectsβœ…βœ…βœ…
Supportβœ…βœ…βœ…
Communityβœ…βœ…βŒ
Certificate of Completionβœ…βœ…βŒ
Cost$399/year$240/year$249/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

  • Platform mainly focuses on data science
  • Data science courses
  • Data science skill paths
  • Data science career paths
  • Certificate of completion

Cons

  • Difficult to navigate
  • Minimal programming courses
  • Minimal free access – partial courses only

πŸ‘‰ You can check out DataCamp here.

Now let’s see how DataCamp’s courses look. As an example, we’ll use Introduction to Python.

Course: Introduction to Python

⚠️ Level: Beginner

Introduction to Python is separated into 4 modules:

  • Python Basics
  • Python Lists
  • Functions and Packages
  • NumPy

Each module contains:

βœ… brief video explanations of a concept

βœ… text explanations of a concept

βœ… coding exercises

βœ… quizzes

Contents of module in Introduction to Python course on DataCamp

Video Explanations

DataCamp is different from video-based courses because their video explanations are only a few minutes long. And each module contains only a couple videos.

Video concept explanation on DataCamp

Text Explanations and Exercises

After watching a video, you’ll read the text explanation of a concept. And from there you’ll read a set of instructions to practice a coding exercise.

Learning environment on DataCamp

Quiz/Exercise

Some exercises are in the form of a multiple choice quiz.

Multiple choice quiz/exercise on DataCamp

πŸ•ΉοΈ Bonus for gamers: Courses are laid out with an XP (experience points) system. You gain XP with correct answers, and lose XP by receiving hints.

Code Editor

The code editor in DataCamp is nothing special. It’s a plain text editor that runs within the modules to perform coding functions.

πŸ’° Cost

There are 3 subscription tiers on DataCamp:

FreeStandard – $300/yearPremium – $399/year
🀩 Best Deal!
Course
Access
1st chapterβœ…βœ…
Skill
Assessments
1βœ… Unlimitedβœ… Unlimited
Projects7βœ… Unlimitedβœ… Unlimited
Skill TracksβŒβœ…βœ…
Career
Tracks
βŒβœ…βœ…
Mobile App
Courses
βŒβœ…βœ…
CommunityβŒβœ…βœ…
Tableau,
Power Bi &
Oracle
βŒβŒβœ…
Priority SupportβŒβŒβœ…

πŸ‘‰ You can check out DataCamp here.

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.


🌠 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:

πŸ”ΉPython πŸ”ΉR πŸ”ΉC πŸ”ΉC++ πŸ”ΉJava

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

πŸ‘‰ You can check out Codecademy Pro here.

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.

Plus you can interact with the community for further support.

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

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

πŸ’° Cost

Codecademy has 3 subscription tiers:

FreeMonthly – $39.99Yearly – $240
🀩 Best Deal!
Access to
courses
βœ…βœ…βœ…
Skill PathsβŒβœ…βœ…
Career PathsβŒβœ…βœ…
Real-world
Projects
βŒβœ…βœ…
Step-by-step
Guidance
βŒβœ…βœ…
Peer SupportβŒβœ…βœ…
Members-only
Support
βŒβœ…βœ…

πŸ‘‰ You can check out Codecademy Pro here.

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 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

  • No data science career paths
  • No community
  • No certificate of completion

πŸ‘‰ You can check out Educative here.

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

And each module contains:

βœ… Lessons

βœ… Code Snippets

βœ… Playgrounds

βœ… Quizzes

βœ… 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

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

Example of illustrations on Educative

Quizzes

Yes, Educative has them!

Quiz on Educative

Challenges

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

Challenge example on Educative

πŸ’° Cost

There are 3 subscription tiers for Educative:

FreeMonthly
– $39.99
Yearly – $249
🀩 Best Deal!
Access to 20+
free courses
βœ…βœ…βœ…
Unlimited access to 155+ coursesβŒβœ…βœ…
Unlimited access to
13+ learning tracks
βŒβœ…βœ…

Whereas there aren’t as many bells and whistles (like a certificate of completion) attached to an Educative 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 is an excellent choice.

πŸ‘‰ You can check out Educative here.

So, is Educative worth it?

Similar to Codecademy, Educative 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? 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:

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 is the best platform for absolute beginners. With Educative, 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 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 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 do.