Projects

• IntermediateSkill Level
• 4.2+
• 3,060 reviews

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

• AdvancedSkill Level
• 4.3+
• 778 reviews

Use PySpark to build an e-commerce forecasting model!

• AdvancedSkill Level
• 4.4+
• 1,142 reviews

Step into a data engineers shoes and master data cleaning with PySpark on an e-commerce orders dataset!

• IntermediateSkill Level
• 4.3+
• 3,232 reviews

Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.

• AdvancedSkill Level
• 4.6+
• 354 reviews

Help the bank monitoring their fraud detection model and figuring out why its not performing as expected.

• BasicSkill Level
• 4.5+
• 506 reviews

Use OpenAIs powerful API to enrich and summarize stock market data.

• IntermediateSkill Level
• 3.8+
• 1,559 reviews

Examine flight delays & cancellations to uncover insights.

• IntermediateSkill Level
• 4.3+
• 883 reviews

Ready to analyze and visualize financial ratios? In this project, you will take on real-world challenges like evaluating the profitability and leverage of companies across industries.

• IntermediateSkill Level
• 4.1+
• 2,844 reviews

Analyze product data for an online sports retail company to optimize revenue.

• BasicSkill Level
• 4.4+
• 1,962 reviews

Create custom Python functions to validate user input!

• BasicSkill Level
• 4.2+
• 1,142 reviews

Sharpen your debugging skills to enhance sales data accuracy.

• BasicSkill Level
• 4.2+
• 1,757 reviews

Exploring flight data from NYC using advanced data joining techniques in R.

• IntermediateSkill Level
• 4.2+
• 1,099 reviews

Query the VatComply API to gather exchange rate information and incorporate into a sales orders dataset!

• BasicSkill Level
• 4.2+
• 1,876 reviews

Use a variety of data manipulation techniques to explore different aspects of Legos history.

• BasicSkill Level
• 4.5+
• 1,708 reviews

Use SQL to analyze a database containing information about Transport for London journeys over 12 years!

• IntermediateSkill Level
• 4.2+
• 549 reviews

Use mean-variance optimization to find optimal portfolio weights and then check how well they would have performed.

• IntermediateSkill Level
• 4.2+
• 2,421 reviews

Chart electric vehicle charging trends to inform strategic planning.

• BasicSkill Level
• 4.3+
• 1,907 reviews

Automatically generate keywords for a search engine marketing campaign using Python to send website visitors to the right landing page.

• IntermediateSkill Level
• 4.0+
• 1,260 reviews

Build models predicting customer churn for Indian telecom customers.

• IntermediateSkill Level
• 4.4+
• 651 reviews

Explore facial recognition with ML by distinguishing Arnold Schwarzenegger from others using Python and scikit-learn.

• AdvancedSkill Level
• 4.4+
• 629 reviews

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

• AdvancedSkill Level
• 4.2+
• 704 reviews

Use deep learning to automate the classification of service desk tickets.

• IntermediateSkill Level
• 4.3+
• 509 reviews

Powering Data for the Department of Energy - Building an ETL Pipeline

• IntermediateSkill Level
• 3.9+
• 1,209 reviews

Use joining techniques to discover the oldest businesses in the world.

• IntermediateSkill Level
• 4.4+
• 1,285 reviews

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

• AdvancedSkill Level
• 4.2+
• 745 reviews

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

• IntermediateSkill Level
• 4.0+
• 795 reviews

Build an AI-powered inbox assistant to classify your emails using Llama.

• IntermediateSkill Level
• 4.4+
• 716 reviews

Generate features from text and numeric variables to predict the popularity of books.

• IntermediateSkill Level
• 4.3+
• 858 reviews

Use MLBs Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.

• AdvancedSkill Level
• 4.4+
• 262 reviews

Detect pneumonia on X-ray images by fine-tuning a pre-trained CNN.