Data Deep Dives

Data deep dive sessions are short 15 minute sessions to help students develop data literacy and think in data terms. During this session, students would take  a data based chart and ask deeper questions to understand the insights, trends and formulate hypothesis of what happened. 

These sessions are short 20-30 minute sessions or videos to help students develop data literacy and think in data terms. During this session, students would take  a data based chart and ask deeper questions to understand the insights, trends and formulate hypothesis of what happened. 

The central aspect of Data Science is getting new results from data: finding meaning, revealing problems you never knew existed, and solving complex issues.These sessions are intended to pique students’ curiosity and encourage deeper thinking, question asking, and to help them understand and “read” the data-filled real world, at a young age.  

We believe such sessions and practice can lay the foundation in preparing data-literate citizens for the  real world.

Learn from Experts

Over the last decade, several industries embraced data science as an organization culture and we have several experts working to apply data science in multiple industrial domains. 

Data Science started with technology companies like (IBM, Google, Amazon, Apple, Microsoft…), it rapidly expanded to Finance (JP Morgan, MorganStanley, Hedge Funds..), Automobile (Tesla, Ford,Toyato..), Oil and Gas(Exxon, Shell, TGS), Healthcare(Cigna, CVS, Humana..), Agriculture, Pharmaceuticals(Moderna, Pfizer..) Consumer Goods (Pepsi, Unilever, P&G, Nike..), Retail (Walmart, Target, Kroger) and Aeronautical(Boeing, AirBus, Delta, United..). 

Our goal is to network with mentors from academic institutions/various industries and conduct webinar sessions on Data Science applications and use cases across various industry and help open up new doors for students.