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Best Data Science Interview Course in 2024 [Educative vs DataCamp]

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TLDR: Best Data Science Interview Course This Year
(We picked two)

💥 Educative: Data Science Interview Handbook is packed with coding playgrounds but does not have any videos.

💥 DataCamp: Practicing Coding Interview Questions in Python teaches using video and text, but there are no coding playgrounds.

Is your data science interview coming up?

We know it’s nerve-racking. And we know there are like a kajillion places that offer data science interview prep materials.

You have enough to worry about.

So we did the dirty work for you.

We scanned the web to bring you our favorite data science interview courses and came up with two…

Educative: Data Science Interview Handbook

and

DataCamp: Practicing Coding Interview Questions in Python.

Is Educative or DataCamp better?

They’re both awesome, but it all depends on your needs as a student:

EducativeDataCamp
Videos
Text Learning
Interactive Content
Embedded Code Editor
Illustrations/Diagrams
Code Playgrounds

As you can see, there are a lot of similarities.

However, Educative has no videos while DataCamp offers no code playgrounds.

🔥 Geena’s Hot Take:

I love Educative and DataCamp equally.

What I like about Educative courses is that there are no videos. You can learn at your own pace and there are plenty of coding playgrounds to practice on.

DataCamp is an excellent platform for students who learn better with a mix of text and video learning. After watching brief videos, you’ll follow a set of instructions to work with DataCamp’s embedded code editors.

So let’s take a look at each course.

✨ Educative: Data Science Interview Handbook

⚠️ Level: Intermediate

⏲️ Estimated Completion Time: 9 hours

Lessons: 72Quizzes: 205
Playgrounds: 139Code Snippets: 23
Illustrations: 169

The Data Science Interview Handbook takes a non-traditional approach to data science interview questions.

Instead of answering open-ended questions, you’ll focus on learning data science and machine learning fundamentals.

And relevant interview questions, of course.

For example, you’ll work on Python basics and some of the most popular algorithms and data structures.

Diagram of tree data structure in the course Data Science Interview Handbook on Educative.io.

And then there are more advanced topics like unsupervised learning, deep learning and neural networks.

Course Layout

Data Science Interview Handbook uses interactive lessons to introduce concepts.

This includes:

  • code playgrounds
  • diagrams
  • code snippets
  • multiple choice quizzes

There are no videos on Educative.

Diagram and quiz in the course Data Science Interview Handbook on Educative.io

With 14 modules, you’ll learn about:

Python basics like variables, loops and functions

Python libraries like Scikit-learn, NumPy and pandas

Data science tools like R, Orange, Tableau and Jupyter

Data structures and algorithms like arrays, linked lists and trees

Basic and advanced machine learning like measuring machine learning model performance and recommendation engines

And much more.

Lesson on loops in Python from the course Data Science Interview Handbook on Educative.io

At the end of the course, you’ll get some valuable tips to make your resume more appealing.

In addition, there is a small section on what to expect after you’ve submitted your resume.

And there are 8 tips for the data science interview.

🎖️ Certificate of Completion

There is a certificate of completion for the Data Science Interview Handbook course on Educative.io.

💰 Cost

You can get the Data Science Interview Handbook course for $79 per year.

Or you can get a monthly or yearly subscription to Educative.

And with all their data science and machine learning courses, it may be worth it to get the monthly or yearly subscription.

Data Science Interview Handbook
Course
Monthly
Subscription
Yearly
Subscription
Cost$79 per year$59 per month$21 per month
Access to
190+ courses
Early access to
new courses
Certificate of
Completion (New!)

Sign up for the the Educative course Data Science Interview Handbook
👉 here. 👈

✨ DataCamp: Practicing Coding Interview Questions in Python

⚠️ Level: Intermediate

⏲️ Estimated Completion Time: 4 hours

Videos: 16Exercises: 61

Practicing Coding Interview Questions in Python is a guide for students who are just starting their quest to become a data scientist.

It covers basic, intermediate and advanced topics to prepare students for a coding interview in Python.

With a gamified learning environment, you’ll learn concepts via videos, exercises, readings and quizzes.

Iterators exercise and quiz with embedded code editor in the data science interview course Practicing Coding Interview Questions in Python on DataCamp

Note: This is not a linear course. It jumps around from topic to topic. So some concepts and exercises are more difficult than others.

Course Layout

There are 4 modules in Practicing Coding Interview Questions in Python.

1. Python Data Structures and String Manipulation – This is a refresher on main data structures used in Python. In addition, you’ll learn how to write regular expressions with strings.

2. Iterable Objects and Representatives – You’ll learn how to identify iterable objects. Then you’ll learn about list comprehensions. And more.

Basic list comprehensions in the data science interview course Practicing Coding Interview Questions in Python on DataCamp

3. Functions and Lambda Expressions – After considering the functional aspects of Python, you’ll learn how to use lambda functions. Then you’ll get a refresher on recursion.

4. Python for Scientific Computing – Learn the difference between NumPy arrays and lists. Then you’ll learn techniques to manipulate with DataFrames. And finally, you’ll use scatterplots, histograms, and boxplots for data visualizations.

Video explanation of difference between NumPy arrays and lists in the data science interview course Practicing Coding Interview Questions in Python on DataCamp

🎖️ Certificate of Completion

DataCamp offers a Certificate of Completion for every course, skill track and career track.

💰 Cost

You can get a monthly subscription to DataCamp for $25 per month which will grant you access to all courses, skill tracks and career tracks.

But if you get a yearly subscription for $33.25 per month, you’ll also get access to 80+ projects, Tableau and Power BI content, and Priority Support.

Sign up for the DataCamp course Practicing Coding Interview Questions in Python
👉 here. 👈

Best Data Science Interview Course This Year: Conclusion

So which data science interview course is better? Educative’s Data Science Interview Handbook or DataCamp’s Practicing Coding Interview Questions in Python?

Well, we like them both equally.

If you thrive with coding playgrounds and taking your time to read through the course material, then Data Science Interview Handbook by Educative is the way to go.

If you learn better with videos, then we recommend Practicing Coding Interview Questions in Python by DataCamp.

Up Next

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  1. What is the best data science interview course?

    We narrowed it down to two. If you thrive with coding playgrounds and taking your time to read through the course material, then Data Science Interview Handbook by Educative is for you. But if you learn better with videos, then Practicing Coding Interview Questions in Python by DataCamp is the way to go.

  2. Is Data Science Interview Handbook by Educative worth it?

    If you like coding playgrounds and taking your time to read through the material, then the course Data Science Interview Handbook by Educative is worth it. It’s packed with illustrations, code snippets, coding playgrounds and quizzes.

  3. Is Practice Coding Interview Questions in Python by DataCamp worth it?

    If like learning with videos and text, then we recommend the course Practicing Coding Interview Questions in Python by DataCamp. In addition, you’ll learn using interactive exercises with embedded code editors, diagrams, quizzes and more.