Introduction to Data Science

4.670 hours8K learnersCertificate
Acquire essential skills in statistics and machine learning. Focus on data preprocessing, analysis, visualization, hypothesis testing, and machine learning model building.
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What you'll learn

This course lays a strong foundation for advancing in the data science field. Upon completion, you will get a sense of what skills and competences it takes to be a data science expert. More specifically, you will:

  • master the fundamentals of manipulating and analyzing data with pandas;
  • learn how to create basic plots with matplotlib;
  • get a clear idea of the main types of ML algorithms;
  • understand the general pipeline of building an ML model.

 

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Learn by doing

# 1
Apply knowledge into practice
You already know the theory. Now it's time to code like you do at work—in a professional IDE, with real project constraints, solving problems that actually matter. Welcome to software engineering as it should be.
# 2
Navigate complexity with surgical precision
Most developers waste months learning random concepts without seeing how they connect. Our interactive Knowledge Map fixes this. It shows exactly how every programming concept relates to others, helping you build a structured mental model of coding.
# 3
Copy the best. Then improve.
Here's what top engineers do that others don't: they study other people's code obsessively. When you get stuck on Hyperskill, you can explore solutions published by other developers. See their exact code. Understand their approach. Learn their tricks.
# 4
Code review that actually makes you better
We stripped code review down to what actually matters: does your solution work? Have you handled the edge cases? Is there a cleaner way to write this? Hyperskill acts like a competent reviewer who actually tests your code. Not genius-level analysis, not architecture debates — just solid feedback on making your code better.

Elevate your engineering mastery through real-world challenges

Master advanced engineering concepts through ambitious projects. Each project deepens your expertise and transforms you from an experienced engineer into an exceptional one.

Classification of Handwritten Digits

In this project, you are going to explore the main classification algorithms and learn how to find and train the best possible model for the classification of handwritten digits. You will need to process a dataset that includes images of handwritten numbers from 0 to 9. The ultimate goal is to train the model to identify a digit on the picture. Sounds interesting? Let's dive into it!

Graduate

Data Analysis for Hospitals

You know the story. Data is everywhere: texts, images, news, and spreadsheets. It affects our habits and defines our future. The amount of data is growing by the second. How can one stay afloat in this great sea of data? Data analysis is required in any line of business. In this project, you will conduct a comprehensive study with pandas. You will upload datasets, deal with data omissions and incorrect data filling, find the main statistical characteristics, and visualize your data. Let's do it!

Graduate

Salary Prediction

Linear regression is one of the simplest yet powerful tools for finding regularities in data and using them for prediction. It is widely applied both in science and practice. In this project, you will learn how to apply scikit-learn library to fit linear models, use them for prediction, compare the models, and select the best one. You will also learn how to carry out testing for certain issues with data.

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Topics covered by this course

Math
52 topics
Instruments
45 topics
Programming languages
42 topics
Machine learning
24 topics
Fundamentals
4 topics
System administration and DevOps
2 topics

Learn from the industry experts

JetBrains Academy

JetBrains Academy

JetBrains Academy is a part of JetBrains, a global software company specializing in the creation of intelligent, productivity-enhancing tools for software developers and teams. With years of expertise in software development and education, JetBrains Academy empowers more than a million people worldwide to learn and teach computer science, and help organizations inspire their teams to reach their goals in tech. Professional development tools play a big role in computer science education. This is why JetBrains Academy courses offer integration with JetBrains IDEs. This integration assists learners in getting experience with real development processes to streamline their learning curve at future work.
Edvancium

Edvancium

Edvancium offers engaging learning materials with a strong focus on practice, ensuring you'll be equipped with job-ready skills. They make your educational journey seamless and focused by providing clear, well-structured content that transforms complex topics into manageable and enjoyable learning experiences. https://edvancium.com

Your peers think Hyperskill rocks

Michał Głomski avatar
Michał Głomski
2 months ago
Very good and indepth overview of the Data Science concepts and tools. Would be great to have somekind of a booklet/document with summary of all the topics for quick brush ups
Darya Kuzmenko avatar
Darya Kuzmenko
7 months ago
This course is a great intro into working with data for beginners (basic libraries, tools and approaches you might need to tackle easy real life problems). The complexity progression is reasonable. The skills I acquired during this course already help me in real life. You are definitely expected to ...
Daniel Wirth
7 months ago
I think the track is nice introduction into data science. It's worth investing the time to understand the math, algorithms and the python libraries . The course was definitely a good start for me.

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Anonymous 154248806has successfully completed the courseIntroduction to Data Science
Issue date November 13, 2025
169 topics completed

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