In this project we will explore a database of every LEGO set ever built.
The Rebrickable database includes data on every
LEGO set that ever been sold; the names of the sets, what bricks they contain,
what color the bricks are, etc. It might be small bricks, but this is big data!
In this project, you will get to explore the Rebrickable database. To do this you
need to know your way around
pandas dataframes and it's recommended that you
take a look at the courses
pandas Foundations and
Manipulating DataFrames with pandas.
VP of Product Research at DataCamp
Ramnath Vaidyanathan is the VP of Product Research at DataCamp, where he drives product innovation and data-driven development. He has 10+ years experience doing statistical modeling, machine learning, optimization, retail analytics, and interactive visualizations. He brings a unique perspective to product development, having worked in diverse industries like management consulting, academia, and enterprise software. Prior to joining DataCamp, he worked as a data scientist at Alteryx, leading the roadmap for interactive visualizations and dashboards for predictive analytics. Prior to Alteryx, he was an Assistant Professor of Operations Management in the Desautels Faculty of Management at McGill University. His research primarily focused on the application of predictive analytics and optimization methodologies to improve operational decisions in retailing. He got his Ph.D. in Operations Management from the Wharton School.See More