Your Introduction to Data Science, Tuition-Free

Our eight week module equips you with the data science and analytics skills that are critical for the most in-demand jobs.
Advance your current job with skills in high demand

Starting with a full introduction to Python and covering the most essential data science tools, students will learn how to turn business metrics into valuable insights.

Analytics mountain
Start a career in data science and analytics

All students are given complimentary access to a pre-configured development environment for the entire module, helping them learn Python, pandas, and Jupyter Notebooks hands-on.

Chart in hand
Prepare for a future in Financial Engineering

Graduates will receive a certificate of completion. The Introduction to Data Science module is built by The Data Incubator, a fellowship program that trains data scientists.

The process is fast, easy, and straightforward.

The Module

The Introduction To Data Science module is delivered online so that students can earn their certificate without disrupting their life.

Calendar visual

In just two months, students will be able to source data relevant to a business problem or task, summarize data in aggregate statistics and visualizations, and model trends to show insights and make practical business decisions.

  • Programming fundamentals, basic Python, and control flow
  • Python data types and data structures
  • Classes and object-oriented programming
    Basic data analysis in Python: NumPy, Matplotlib, and pandas
  • Data file formats and data parsing
    Data aggregation and visualization with pandas
  • Basic machine learning: linear regression and gradient descent
  • Metrics and cost functions for machine learning Cross-validation and model selection
  • Dimensionality reduction and regularization
  • Feature engineering and ensemble models

How does the module work?


The Requirements

This is a true introduction to data science and can accomodate beginners with the right amount of foundational knowledge. It does not require you to have any prior degrees.

Algebra icon

To qualify for the course you must have experience with algebraic concepts such as functions and variables, which are frequently used in programming.

Statistics icon

Preference is given to applicants with familiarity in programming fundamentals, basic statistics, linear algebra, and calculus.

Clock icon

Students should expect to commit roughly 8 to 10 hours per week between lecture videos, assignments and individual study.

What else do I need to take the module?


Let’s go!

The module runs four times each calendar year. We strongly encourage all qualified candidates to apply soon, as space in each class is limited and initial interest is high.

April 1, 2018
July 1, 2018
September 24, 2018
December 1, 2018

Get Started Today

The process is fast, easy, and straightforward.


Still have questions? Visit our FAQ.