Studied Economics at Notre Dame
"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."
Our Data Analytics alumni have gone on to work at:
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 create dashboards and how to present and translate the content.
Technology that allows you to collaborate with others, store data, and manage the organization of information.
Data Science Team Lead at SAEON
Dr. Davis-Reddy is the Data Science Team Lead at the uLwazi Node of the South African Earth Observation Network (SAEON) – a long-term environmental monitoring facility of the National Research Foundation (NRF). Her primary directive as Team Lead is to improve South Africa's open data products, atlas portals and visualization tools in order to facilitate effective data- and evidence-driven decision-making.
Your class projects will be connected to industry, in a format that you can show future employers.
You'll have class daily, along with in-depth readings and assignments that will challenge you to learn quickly.
We cap classes at 30 students, which means you'll get to know your classmates and teachers individually.
We teach engaging, live seminar-style classes—not massive, streamed lectures. Expect lots of discussion and group work.
Your head teacher and TAs will review your work and give you actionable feedback to improve.
They'll also provide guidance and support for your project, helping you achieve more than you could in ordinary working environments.
Session 1: May 30 – July 8
Session 2: July 11 - August 19
Admissions are closed for 2022
Weeks 1 - 2: Live online classes, Mon-Fri, 12pm - 2pm EST.
Weeks 3 - 6: Live online classes, Tues and Thurs, 12pm - 2pm EST.
Internship work, Mon, Wed and Fri.
2 - 4 hours of homework per class.
Past students have found that the program is manageable as a full time program, or to complement another summer program. You ultimately get out what you put in.
It takes about 12 - 15 minutes to complete the application. Once it's submitted, we may contact you for an interview. You'll receive a decision in 2 - 5 weeks.
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