Data Analytics Curriculum

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We all know that in today’s professional world, your knowledge is only as good as your ability to put it to use. For that reason, the curriculum at UofT SCS Data Analytics Boot Camp gives you skills-based training. Our data boot camp not only teaches you the fundamentals for data analytics but also shows you how to apply your knowledge to real-world projects.

From visualizing bike-sharing data in New York City to mapping earthquakes worldwide in real time, you will get hands-on experience that translates into your work in the field.

Module 1: Excel Crash Course Weeks 1-2

Description:

Learn to do more with Microsoft Excel. In this module, we’ll cover advanced topics like statistical modelling, forecasting and prediction, pivot tables, and VBA scripting. You’ll even learn to model historic stock trends — and hopefully, learn to beat the market!

What You Will Learn:

  • Microsoft Excel
  • VBA Script
  • Statistics Modeling

Module 2: Python Data Analytics Weeks 3-8

Description:

Gain a solid foothold in one of today’s fundamental programming languages. You’ll develop proficiency in core Python; data analytics tools like NumPy, Pandas, and Matplotlib; and specific libraries for interacting with web data, like Requests and BeautifulSoup.

What You Will Learn:

  • Python
  • APIs
  • JSON
  • NumPy
  • Pandas
  • Matplotlib
  • Beautiful Soup

Module 3: Databases Weeks 9-13

Description:

Work with PostgreSQL and MongoDB to organize data into well-structured and easily retrievable data formats.

What You Will Learn:

  • SQL
  • PostgreSQL
  • MongoDB
  • ETL Process

Module 4: Web Visualization Weeks 14-19

Description:

Building visualizations is of little benefit without a way to communicate the message. In this module, you’ll learn how to use the core web development technologies (HTML, CSS, and JavaScript) to create new and interactive data visualizations that you can share with everyone on the web.

What You Will Learn:

  • HTML
  • CSS
  • JavaScript
  • AJAX
  • D3
  • Leaflet

Module 5: Advanced Topics Weeks 20-23

Description:

By program’s end, you’ll be immersed in new and in-demand topics like Tableau, Hadoop, and Machine Learning.

What You Will Learn:

  • Tableau
  • Hadoop
  • Machine Learning

Module 6: Final Project Week 24

Description:

As part of a small team, you’ll draw upon everything you have learned in the program to create an impressive data visualization application. Get creative and come up with something cool to show off to the whole world.

What You Will Learn:

  • Dreaming up something fantastic and pushing the bounds of reasonable and achievable

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