Projekte

• MittelSchwierigkeitsgrad
• 4.3+
• 13.449 Wiederholungen

Perform a hypothesis test to determine if more goals are scored in womens soccer matches than mens!

• MittelSchwierigkeitsgrad
• 4.4+
• 10.013 Wiederholungen

Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!

• MittelSchwierigkeitsgrad
• 4.2+
• 3.278 Wiederholungen

Perform a hypothesis test to determine if more goals are scored in womens soccer matches than mens!

• MittelSchwierigkeitsgrad
• 4.2+
• 2.594 Wiederholungen

Perform hypothesis tests to determine if the adverse effects of a pharmaceutical drug are significant!

• MittelSchwierigkeitsgrad
• 4.4+
• 1.355 Wiederholungen

Analyze online shopping habits: returning vs. new customers using statistics & probability techniques!

• ExperteSchwierigkeitsgrad
• 4.2+
• 798 Wiederholungen

Explore transportation time series data analysis to uncover patterns and forecast travel costs.

• ExperteSchwierigkeitsgrad
• 4.4+
• 679 Wiederholungen

Use logistic regression to determine which treatment procedure is more effective for kidney stone removal.

• MittelSchwierigkeitsgrad
• 4.6+
• 261 Wiederholungen

Step into a data scientists role and learn how to make product decisions with A/B testing in Python!

• ExperteSchwierigkeitsgrad
• 4.4+
• 368 Wiederholungen

Explore habitat data using factor and survival analysis tools.

• MittelSchwierigkeitsgrad
• 4.3+
• 659 Wiederholungen

Reanalyze the data behind one of the most important discoveries of modern medicine: handwashing.

• MittelSchwierigkeitsgrad
• 4.1+
• 389 Wiederholungen

Examine the relationship between heart rate and heart disease using multiple logistic regression.

• MittelSchwierigkeitsgrad
• 4.4+
• 209 Wiederholungen

Dive into the world of banking transactions to uncover hidden anomalies and protect customer confidence. Ready to take on the challenge?

• MittelSchwierigkeitsgrad
• 4.2+
• 469 Wiederholungen

Analyze CO2 emissions across geographical regions and fuel sources to understand environmental impacts in the energy sector.