Exploring an Ecommerce Dataset using SQL in Google BigQuery Reviews

Rita M. · Reviewed over 4 years ago

Nataliya B. · Reviewed over 4 years ago

Mohamed M. · Reviewed over 4 years ago

Anupriya R. · Reviewed over 4 years ago

Demands a previous knowledge of SQL, but is a good practce to navigate on BigQuery screens.

Miguel P. · Reviewed over 4 years ago

Very instructive

Laurent J. · Reviewed over 4 years ago

Hugo F. · Reviewed over 4 years ago

Sihyoung L. · Reviewed over 4 years ago

Milad C. · Reviewed over 4 years ago

Maybe a lot to ask. More explanation, but not too detailed, of SQL functions (what each function does) one time somewhere on the page for beginners would be more helpful. Thanks. David

David V. · Reviewed over 4 years ago

Maybe a lot to ask. More explanation, but not too detailed, of SQL functions (what each function does) one time somewhere on the page for beginners would be more helpful. Thanks. David

David V. · Reviewed over 4 years ago

Tarun k. · Reviewed over 4 years ago

Questions don't explore SQL facility, instead they explore ability to extrapolate from questionable table and column names.

Evelyn F. · Reviewed over 4 years ago

Sonali S. · Reviewed over 4 years ago

Piyush P. · Reviewed over 4 years ago

Daniel N. · Reviewed over 4 years ago

Roksana S. · Reviewed over 4 years ago

Jimmy N. · Reviewed over 4 years ago

Piyush P. · Reviewed over 4 years ago

Niels B. · Reviewed over 4 years ago

Thomas T. · Reviewed over 4 years ago

Caio L. · Reviewed over 4 years ago

Michał Z. · Reviewed over 4 years ago

Luis C. · Reviewed over 4 years ago

Answer to ’What product has the highest avg_per_order?’ should be ’Google Men's Vintage Badge Tee Black’.

Paweł B. · Reviewed over 4 years ago