Data Scientist

Data scientists use statistics, programming and machine learning to find patterns in data and build models that make predictions. Their work runs from collecting and preparing data to training, evaluating and explaining a model.

  • 4 courses
  • 33 lessons
  • ~21h
  • Beginner to Advanced

If you like

  • Math and experiments
  • Asking questions nobody has answered yet
  • Writing code to test an idea

Skills you will build

  • Python for data analysis
  • Statistics and probability
  • SQL
  • Machine learning
  • Deep learning basics
  • Algorithms and complexity
  • Data visualization

Typical job titles

  • Data Scientist
  • Machine Learning Engineer
  • Applied Scientist
  • Research Analyst
Start the pathCourses in this path

Courses in this path

Take them in order, from Beginner to Advanced. A course you finish counts in every career path that includes it.

Beginner

  2. Course 2 of 4Beginner

    Databases

    Why this course: Most data lives in databases: querying, joining and aggregating it with SQL.

    • 8 lessons
    • ~6h
    • Not started
    0 of 8 lessons done
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Intermediate

  1. Course 3 of 4Intermediate

    Data Science

    Why this course: The heart of the role: statistics, Python for data, visualization and your first machine learning models.

    • 8 lessons
    • ~4h
    • Not started
    0 of 8 lessons done
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Advanced

Completing this path

Finish every course of the path to complete it. Each course you finish earns its own certificate of completion.

Course certificates

  • Data Structures & Algorithms8 lessons left
  • Databases8 lessons left
  • Data Science8 lessons left
  • Artificial Intelligence9 lessons left

There is no separate certificate for a whole path yet: your proof is the certificate of each course, which anyone can verify.

All career paths