project

• BeginnerSkill Level
• 4.1+
• 22.4K

Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.

project

• BeginnerSkill Level
• 4.2+
• 21.2K

Use your data manipulation skills to perform exploratory data analysis on a dataset around student mental health.

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• BeginnerSkill Level
• 4.3+
• 17.3K

Get up to speed with notebook based projects. This will prepare you for your first Python, SQL & R projects.

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• BeginnerSkill Level
• 4.2+
• 7.1K

Use data manipulation and summary statistics to analyze test scores across New York Citys public schools!

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• BeginnerSkill Level
• 4.1+
• 3.8K

Explore a dataset containing a centurys worth of Nobel Laureates. Who won? Who got snubbed?

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• IntermediateSkill Level
• 4.2+
• 3.7K

Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.

project

• IntermediateSkill Level
• 4.2+
• 3.5K

Dive into agriculture using supervised machine learning and feature selection to aid farmers in crop cultivation and solve real-world problems.

project

• BeginnerSkill Level
• 4.1+
• 3.1K

Write SQL queries to answer interesting questions about international debt using data from The World Bank.

project

• AdvancedSkill Level
• 4.1+
• 3K

Derive insights about motorcycle part sales over time across multiple warehouse sites!

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• BeginnerSkill Level
• 4.2+
• 2.5K

Use SQL to figure out the golden era of video games!

project

• IntermediateSkill Level
• 4.3+
• 2.4K

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

project

• IntermediateSkill Level
• 4.0+
• 2.4K

Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!

project

• BeginnerSkill Level
• 3.7+
• 2.3K

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

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• BeginnerSkill Level
• 4.2+
• 2.1K

Use your SQL skills to explore a dataset about product carbon emissions.

project

• IntermediateSkill Level
• 4.1+
• 1.9K

Tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files.

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• BeginnerSkill Level
• 3.9+
• 1.8K

Define functions to catch errors when new users register for an app!

project

• IntermediateSkill Level
• 4.1+
• 1.6K

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

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• IntermediateSkill Level
• 4.4+
• 1.6K

Arctic Penguin Exploration: Unraveling Clusters in the Icy Domain with K-means Clustering

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• BeginnerSkill Level
• 4.0+
• 1.6K

Explore local and global fitness trends to identify product niches. Investigate online interest in gyms, workouts, digital services, and web apps.

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• BeginnerSkill Level
• 3.7+
• 1.5K

Analyze the relative popularity of programming languages over time based on Stack Overflow data.

project

• BeginnerSkill Level
• 4.3+
• 1.4K

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

project

• IntermediateSkill Level
• 3.7+
• 1.3K

Test your Data engineering skills by creating a data pipeline to analyze E-commerce business of Walmart!

project

• IntermediateSkill Level
• 4.4+
• 1.3K

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

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• AdvancedSkill Level
• 4.0+
• 1.2K

Use your SQL skills to find out how many companies reached a valuation of over $1 billion across different industries between 2019 and 2021!

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• IntermediateSkill Level
• 4.0+
• 1.1K

Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.

project

• IntermediateSkill Level
• 4.5+
• 1K

Build a machine learning model to predict if a credit card application will get approved.

project

• BeginnerSkill Level
• 4.3+
• 989

Analyze data about electronic vehicle charging behavior to better use shared charging stations.

project

• BeginnerSkill Level
• 3.8+
• 982

Use OpenAIs powerful API to answer questions about tourist attractions in Paris.

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• IntermediateSkill Level
• 4.1+
• 942

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

project

• IntermediateSkill Level
• 4.0+
• 900

Review a data analysis workflow for adherence to Python standards and best-practices.