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All of our teachers are experts in their fields, and are supported by one or two TAs per class. You’ll gain invaluable perspective, and mentors who will advise you throughout the program
"The technical barriers to doing data analysis are becoming smaller and smaller every year. You no longer need access to a supercomputer and a graduate degree in computer science – you can learn how to build cutting edge data models in a 20-minute medium tutorial. What’s really going to distinguish working people over the next 10 years is the ability to communicate effectively and affect change through their analysis."
"iX was the first thing employers asked about during interviews. No experience compares to the ability to learn a completely new skill and deliver multiple complex projects. On the job, iX has been incredibly useful. Most of the analytics work I do today is based off of what I learned while at iX."
You can only analyze data with a good grounding in stats. Learn likelihood, probability, hypothesis testing, and more.
Core concepts of data analysis, and how it can be used to drive decision-making.
Draw conclusions from your analyses, and present them using informative visuals to guide decisions.
Understand and work with the gold standard technology of data analysis. Don't be intimidated, we'll teach you fundamentals from the ground up.
Tools and techniques for analyzing massive data sets. Learn how to train data models to make predictions.
Technology that allows you to collaborate with others, store data, and manage the organization of information.
After your course, you'll be placed in a remote internship with teammates from your class. But remote doesn't mean disengaged: expect collaboration with your fellow students, check-ins with your manager on a flexible schedule, and exciting real-world work.
"It felt like I did meaningful work and contributed as a valuable asset at Invictus. It was fun getting to know new people and see my personal strengths come into play. In our internship group we were able to see the group explore individual strengths and make everyone work towards creating the best final presentation."
Spring 2022: January 24 - April 15
Fall 2022: Dates will be announced soon.
During each week of the program, you'll participate in your online course and internship at a schedule that is manageable with your existing college workload.
Regular Deadline: November 30
Late Deadline: December 22
Apply soon to increase your chance of admission and access to financial aid.