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Bootcamp Prep Course

This course takes you one step closer to becoming a data scientist by offering a subset of the topics covered in our Data Science Bootcamp. You’ll get a well-rounded intro to the core concepts and technologies taught within the bootcamp, including basic machine learning principles and hands-on coding experience. Plus, you’ll put it all to practice through a mini data science project of your own. We’ll cover the following:

  • Data acquisition, cleaning, and aggregation
  • Exploratory data analysis and visualization
  • Feature engineering
  • Model creation and validation
  • Basic statistical and mathematical foundations for data science

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The Intro to Data Science instructor’s enthusiasm and ability to explain complex topics made this a great introduction to the fundamentals of data science and Python programming. This course helped prep me for the Metis data science bootcamp, and I’d highly recommend it to anyone looking to gain a better understanding of concepts taught throughout the bootcamp.

Ria Setiaji,
Codeva Data Scientist

Who the course is designed for:

You have a strong desire to learn data science through top-quality instruction, a basic understanding of data analysis techniques and an interest in improving their ability to tackle data-rich problems in a systematic, principled way. This course provides structure and accountability to ensure you stay on track, finish strong, and achieve your desired outcomes.


  • An understanding of problems solvable with data science and an ability to attack them from a statistical perspective.
  • An understanding of when to use supervised and unsupervised statistical learning methods on labeled and unlabeled data-rich problems.
  • The ability to create data analytical pipelines and applications in Python.
  • Familiarity with the Python data science ecosystem and the various tools needed to continue developing as a data scientist.

Course Structure & Syllabus