Meet Team Analytics: The perfect simulation
for developing data analytics skills
Engage your students with a competitive simulation where the best data analysis wins.
Who said teaching data analytics was easy?
Teaching data analytics effectively is challenging: It requires conveying complex theoretical concepts as well as ensuring students can apply these concepts practically. Team Analytics bridges this gap by providing a hands-on simulation where students can practice and refine their data analysis skills. This immersive tool allows learners to put theoretical knowledge into action, making critical decisions related with prediction, optimization, and experimentation in a competitive setting. By integrating practical application with classroom learning, Team Analytics helps students build a deeper, more confident understanding of data analytics.
Engage your students
Students who use Team Analytics find themselves spending significantly more time on data analysis, deepening their understanding and proficiency. Make your students’ data journey matter by elevating your teaching and captivating them with dynamic data challenges.
Best analytics wins
With Team Analytics, students compete in a stimulating environment where the best data-driven decisions lead to victory. This engaging simulation pushes students to excel in prediction, causation, optimization, and experimentation.
Innovation in Education
Team Analytics is carefully balanced so that team performance truly reflects the quality of decisions, providing a fair and motivating learning experience. Team Analytics is designed to cater to the curricula of most courses involving data analysis.
How is Team Analytics different?
Team Analytics provides students with a great learning environment. Rivals’ unsound decisions and even luck are removed from the equation. The background is a great signal-to-noise environment that fosters learning from mistakes. Final outcomes are driven by the quality of teams’ decisions.
Working with data
Accessing data for analysis couldn’t be easier. Students can access their team’s data by downloading it from the simulation, or directly through their favorite analytics software, including MATLAB®, Python and RapidMiner.
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A clean and simple interface where feedback is paramount
The intuitive in-game interface allows students to easily navigate their decisions. After taking the car out for practice laps and races, students can export their data and analyze it with the software and methods being taught in class. Fastest team around the track wins. Team analytics is a reliable simulation where hard work rather than luck pays off.
While Team Analytics is a competitive simulation, a decision’s team does not directly influence the result of another, which means students maximize their feedback while feeling the competitive thrill.
What our participants say
The racing simulation in our Big Data Analysis course was a thrilling fusion of speed, strategy, and science, turning data into a breathtaking race of learning and innovation.
– Michel Oeding-Erdel
The simulator was intuitive and easy to use. And going through the data became addictive over time!
– Nuno Lopes