Career Path

Data Scientist: Machine Learning Specialist

Machine Learning Data Scientists solve problems at scale, make predictions, find patterns, and more! They use Python, SQL, and algorithms.

Includes Python 3, SQL, pandas, scikit-learn, Matplotlib, TensorFlow, and more.

173,151 learners enrolled

Create free account

Make sure your password is at least 8 characters and contains:

  • At least 1 uppercase letter and 1 lowercase letter
  • At least 1 number
  • At least 1 special character (like @#%^)

Avoid common passwords or strings like “password”, “qwerty”, or “12345”.

By signing up, you agree to the Codecademy Terms of Service and Privacy Policy. This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Or sign up with

Have an account?
  • Skill level

    Beginner
  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
    95 hours
  • Professional certification

    Yes
  • Prerequisites

    None

About this career path

Companies are looking for data-driven decision makers, and this Career Path will teach you the skills you need to become just that. You’ll learn to analyze data, communicate your findings, draw predictions with machine learning, and even build neural networks. Along the way, you’ll build portfolio-worthy projects that will help you get job-ready.

Average Salary (US)
$125,000

Syllabus

27 units • 81 lessons • 59 projects • 58 quizzes
  • 1

    Welcome to the Data Scientist: Machine Learning Specialist Career Path

    Discover what you will learn on your journey to becoming a Data Scientist: Machine Learning Specialist!

  • 2

    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.

  • 3

    Learn SQL

    Learn SQL — a popular language that’s used for communicating with databases and working with data.

  • 4

    Python Fundamentals for Data Science (Part I)

    Build a foundation in programming with Python with a focus on Data Science!

  • 5

    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.

  • 6

    Portfolio Project: U.S. Medical Insurance

    Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!

  • 7

    Python Pandas for Data Science

    Learn how to use the Python pandas library and lambda functions for Data Science.

The platform

Hands-on learning

Animated GIF of an AI learning assistant explaining an error within Codecademy's learning environment
Mobile-friendly version of a lesson and code editor for the course 'Introduction to HTML' running in Codecademy's learning environment
An AI-generated hint within the instructions of a Codecademy project
Animated GIF of a mouse cursor hovering over the Python term "comment" displaying a Docs tooltip within a Codecademy lesson
  • The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.
    Chris
    Codecademy Learner @ USA
  • I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.
    Rodrigo
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    John-Andrew
    Codecademy Learner @ USA

Our learners work at

  • Google Logo
  • Meta Logo
  • Apple Logo
  • EA Logo
  • Amazon Logo
  • IBM Logo
  • Microsoft Logo
  • Reddit Logo
  • Spotify Logo
  • Uber Logo
  • YouTube Logo
  • Instagram Logo

Frequently asked

  • Career paths teach you exactly what you need to start a new career. Curated by our team of experts, career paths contain a collection of courses, projects, prep for technical interviews, and more. By the end, you’ll be ready to start interviewing for entry-level jobs in the career of your choice.

What's included in career paths

  • Assessments
    Test specific skills needed for top tech careers.
  • Professional certifications
    Prove your expertise to yourself and prospective employers.
  • Technical interview prep
    Practice for the interview with common questions and real coding challenges.
  • Career services
    Explore career options and connect with employers that are hiring for in-demand jobs.
How it works

Start your new career faster

  1. Learn the skills

    This expertly curated career path gives you all the knowledge and experience you need to start this career.
  2. Prep for interviews

    Assess if you're ready to apply for jobs, then build your confidence with code challenges and practice questions.
  3. Get hired

    Showcase your skills with a Codecademy professional certification and connect with employers directly.

Become a Data Scientist

Start my career change