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Become a Data Scientist
Made with❤️ in NYC © 2022 Codecademy
In this path, you’ll start with data science fundamentals, then dive deeper into drawing predictions with machine learning and even building neural networks.
About this Career Path
- Organize complex data: Use NumPy, pandas, and SQL to talk to databases and manipulate tables.
- Dive into machine learning: Create models that can automate processes, recognize patterns, and make recommendations.
- Prepare for your career: Get job-ready with portfolio projects and more.
Beginner
Skill level
$125,000
Average salary (US)
24,000+
Recent learners
Projects you’ll build
Handwriting Recognition using K-Means
In this project, you will be using K-Means clustering and scikit-learn to cluster images of handwritten digits.
Predict Baseball Strike Zones With Machine Learning
Calculate and visualize MLB player strike zones based on their real data.
Top companies trust Codecademy to level up their teams. Learn more
Career Path
Data Scientist: Machine Learning Specialist
In the world of data science, Machine Learning Specialists use algorithms to make predictions and solve problems. Get the specialized skills and portfolio you need to start your career as a Machine Learning Data Scientist in this curated career path.
Includes Python 3, SQL, pandas, scikit-learn, Matplotlib and more
Write live code, build projects, and practice for interviews
Finish in 35 weeks with a professional certification
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Front-End Engineer
Front-end engineers work with closely with Designers to make websites beautiful, functional, and fast.
Career Path
Beginner friendly, 129 lessons
Which career is right for you?
Learn which careers and languages suit your personal interests and strengths best in this short and free resource.
Syllabus
Welcome to the Data Scientist: Machine Learning Specialist Path
Discover what you will learn on your journey to becoming a Data Scientist: Machine Learning Specialist!
1
Principles of Data Literacy
Discover the world of data in this fully conceptual course where you will learn how to think about, visualize, and analyze data.
2
Learn SQL
Learn SQL — a popular language that’s used for communicating with databases and working with data.
3
Python Fundamentals for Data Science (Part I)
Build a foundation in programming with Python with a focus on Data Science!
4
Python Fundamentals for Data Science (Part II)
Continue building your Python Skills while applying them to real data science challenges including finding and working with real data.
5
Portfolio Project: U.S. Medical Insurance
Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!
6
Python Pandas for Data Science
Learn how to use the Python pandas library and lambda functions for Data Science.
7
27 units • 59 projects • 81 lessons
Computer Science
Learn Computer Science fundamentals, build a professional portfolio, and prepare for an entry-level role in tech.
Career Path
Beginner friendly, 82 lessons
Reach your career goals with Codecademy Pro
Practice for the interview with common questions and real coding challenges.
Technical interview prep
Career services
Explore career options and connect with employers that are hiring for in-demand jobs.
Assessments
Test specific skills needed for top tech careers.
Professional certifications
Prove your expertise to yourself and prospective employers.