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Data Science for Non-Programmers [Educative Course Review 2022]

Today I’m showing you Data Science for Non-Programmers, a course on

🧠 Did you know? According to the Bureau of Labor Statistics, the median annual salary for a data scientist is $94,280.

If you’re a professional but aren’t a statistician or a programmer, how can you tap into your data and make sense of it all?

Sure, maybe you can hire someone to figure it out.

Or maybe you can figure it out.

With a fundamental understanding of data science, you can create meaningful insights you never thought were possible.

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TLDR: Data Science for Non-Programmers

💥 Newbie-friendly curriculum

💥 Learn data science and machine learning fundamentals

💥 Learn how to program in Python

💥 Get a Certificate of Completion

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What is data science?

Data Science is the study of data. It’s a multi-disciplinary field. And it is used to extract insights from structured and unstructured data.

It uses computer science, mathematical and statistical methods, and other knowledge to draw conclusions from data.

Image courtesy towards data science

And from there you can make predictions and decisions based on the data at hand.

Data Science for Non-Programmers

⚠️ Level: Beginner

⏲️ Duration: 13 hours

Lessons: 70Quizzes: 5
Challenges: 8Playgrounds: 143
Code Snippets: 34Illustrations: 59

Data Science for Non-Programmers is geared towards professionals and students who don’t have any experience with programming.

However, you’ll learn how to advance your career by conducting meaningful data analysis using Python.

Python functions in Data Science for Non-Programmers on

Starting with Python fundamentals, you’ll learn about

Then you’ll focus on predictive analysis and inferential analysis using statistical and machine learning techniques.

So while this course is for non-programmers, you will be a programmer by the time you’re finished.

Ok, I know it might sound overwhelming right now, but this will all make sense by the end of the course.

🔥 Geena’s Hot Take

First off, I love Educative. It’s my favorite platform and they’ve been coming correct with their diverse lineup of courses.

Data Science for Non-Programmers is a great introduction to data science. It starts from absolute ground zero and slowly introduces data science and programming concepts.

It’s truly a data science course for non-programmers.

But keep in mind, there are no videos in this course. So you’ll be doing a lot of reading, looking at diagrams, and coding in Python.

Course Layout of Data Science for Non-Programmers

This is an interactive, text-based course.

With 8 chapters, you’ll learn about:

✅ Data science basics

✅ Python basics

✅ Handling Tabular data in Python

✅ Data cleaning

✅ Exploratory data analysis

✅ Statistical inference

✅ Predictive models

✅ Machine learning

Each module contains multiple lessons.

And each lesson uses a combination of:

  • text
  • code snippets
  • illustrations
  • playgrounds
  • quizzes

Let’s peek inside one of the modules.

Module 2: Python Basics

Python Basics lets you get your feet wet with Python by writing a simple Hello World program.

🧠 Hello World is used to illustrate the syntax of a programming language. And it’s usually the first program written by people learning to code.

So this program will be written in the code playground provided. A code playground is an interactive area where you can type and test your code and see the output in real time.

For example, something like this…

Hello World using Python in a code playground on

Will have an output that looks something like this…

Hello World output

It may seem small, but trust me, it’s very exciting to write your first Hello World program.

After you become familiar with Python syntax, you’ll move on to Python concepts like:

🟣 operators

🟣 functions

🟣 lists

🟣 loops

And beyond.

Then you’ll work on two exercises using Python concepts.

Python exercise in Data Science for Non-Programmers on

There are detailed solutions for both exercises with code snippets and explanations.

Data Science for Non-Programmers: Moving On

As the course moves on through modules, it will gradually increase in difficulty.

But taking your time with each lesson will pay off.

Don’t move on until you’re confident.

Data science might seem larger than life right now, but it will make sense soon enough.

🎖️ Certificate of Completion offers a Certificate of Completion for this and other courses on the platform.

It’s not accredited, but it’s a nice representation of your accomplishment that you can hang in your office or cubicle.

💰 Cost

You can purchase a subscription to the course for $29 per year.

But if you get a yearly subscription to you’ll get access to over 320 courses. Plus some other perks:

Data Science for Non-ProgrammersMonthly
Cost$39 per year$59 per month$199 per year
Access to
320+ courses
Certificate of

There are plenty of data science and machine learning courses on

And if you’re planning on taking your data science skills to the next level, a yearly subscription may be your best choice.

So is Data Science for Non-Programmers worth it? Conclusion

If you’ve never programmed a line of code in your life and you need to learn data science, I think Data Science for Non-Programmers is worth it.

You can move at your own pace and learn the fundamentals of data science, Python, machine learning, and beyond.

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