This course will help you start your journey to becoming a data scientist. You’ll learn the basic ideas, useful tools, and real-life examples you need to begin your career.
4.8
29 Lessons
2 Mock Interviews
4h
Updated 1 week ago
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- An understanding of what data science is and why it’s useful
- The ability to learn how to collect and work with data
- The ability to use basic tools like SQL and Python to work with data
- Hands-on experience creating simple graphs and charts to understand data
- The ability to build and test simple machine learning models that can make predictions using data
Learning Roadmap
1.
Dive into Data Science
Dive into Data Science
Explore what data science is and why it matters.
2.
Talk to Data
Talk to Data
Access and query data using Python and SQL tools.
3.
Clean It Up
Clean It Up
6 Lessons
6 Lessons
Fix, shape, and prepare data for analysis.
4.
Make Sense of Data
Make Sense of Data
5 Lessons
5 Lessons
Understand and visualize data patterns and stats.
5.
Build Smart Stuff
Build Smart Stuff
7 Lessons
7 Lessons
Apply models to predict, classify, and cluster.
7.
Appendix
Appendix
2 Lessons
2 Lessons
Explore career guidance, resources, and steps to become a data scientist.
Certificate of Completion
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Complete more lessons to unlock your certificate
Developed by MAANG Engineers
ABOUT THIS COURSE
Data science is all about using data to understand the world around us. It helps answer questions, solve problems, and make better business, health, sports, and other decisions. Even if you’ve never worked with data, this course will guide you step by step into this exciting and fast-growing field.
You’ll start by learning what data science means and how it’s used in real life. Then, you’ll get hands-on with real data, learning how to find, clean, and explore it using simple tools like SQL and Python (pandas). You’ll also learn how to make charts and graphs to understand what your data is telling you.
By the end of the course, you’ll try out building your first machine learning models, such as tools that help computers make predictions using data. Throughout this course, you’ll practice explaining your findings clearly and simply like real data scientists do.
ABOUT THE AUTHOR
Khayyam Hashmi
Computer scientist and Generative AI and Machine Learning specialist. VP of Technical Content @ educative.io.
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Anthony Walker
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Evan Dunbar
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Front-end Developer
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Vinay Krishnaiah
Software Developer
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