Today I’m showing you Data Science for Non-Programmers, a course on Educative.io.
🧠 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.
And from there you can make predictions and decisions based on the data at hand.
⚠️ Level: Beginner
⏲️ Duration: 13 hours
|Lessons: 70||Quizzes: 5|
|Challenges: 8||Playgrounds: 143|
|Code Snippets: 34||Illustrations: 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.
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:
- code snippets
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…
Will have an output that looks something like this…
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:
Then you’ll work on two exercises using Python concepts.
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
Educative.io 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.
You can purchase a subscription to the course for $29 per year.
But if you get a yearly subscription to Educative.io you’ll get access to over 320 courses. Plus some other perks:
|Data Science for Non-Programmers||Monthly|
|Cost||$39 per year||$59 per month||$199 per year|
There are plenty of data science and machine learning courses on Educative.io.
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.
Readers of Data Science for Non-Programmers are also reading:
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- Top 11 Python Books for Data Science
- 9 Best Data Science Courses for Beginners
- Best Data Science Interview Course
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- Is the Educative course Data Science for Non-Programmers worth it?
If you've never programmed a line of code in your life and need to learn data science, we think Data Science for Non-Programmers is definitely worth it. In this course, you move at your own pace and learn the fundamentals of data science, Python, machine learning, and beyond. Tune into today's article to learn more about Data Science for Non-Programmers.
- Can you learn data science if you're not a programmer?
Yes, you can learn data science if you are not a programmer. We recommend starting off with the Educative course Data Science for Non-Programmers. And you're not a programmer now, but you'll be writing code in Python by the end of this course. You'll also learn machine learning, data cleaning, predictive models and other key data science concepts. Learn more about these concepts in today's post.
- Why should I take a course to learn data science?
Courses are a great way to learn data science. There are both video-based courses and text courses with interactive exercises. Depending on how you learn best, you can choose the course. And there are plenty of places to learn data science such as DataCamp, Educative and Coursera. For example, today we reviewed the Educative course Data Science for Non-Programmers. With its interactive exercises and slow approach to data science, this is an ideal course for students who are not familiar with programming. Learn more about the course Data Science for Non-Programmers in today's article.