• BasicLivello di competenza
• 4.1+
• 15.2K

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

• BasicLivello di competenza
• 4.2+
• 13.6K

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

• BasicLivello di competenza
• 4.3+
• 10.8K

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

• BasicLivello di competenza
• 4.2+
• 3.6K

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

• BasicLivello di competenza
• 4.0+
• 2.9K

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

• IntermedioLivello di competenza
• 4.3+
• 2.7K

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

• IntermedioLivello di competenza
• 4.3+
• 2.5K

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

• BasicLivello di competenza
• 4.2+
• 2.3K

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

• BasicLivello di competenza
• 4.0+
• 2K

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

• BasicLivello di competenza
• 4.1+
• 1.9K

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

• AvanzatoLivello di competenza
• 4.0+
• 1.9K

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

• IntermedioLivello di competenza
• 4.4+
• 1.7K

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

• BasicLivello di competenza
• 4.3+
• 1.6K

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

• BasicLivello di competenza
• 4.1+
• 1.6K

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

• BasicLivello di competenza
• 4.0+
• 1.3K

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

• IntermedioLivello di competenza
• 4.3+
• 1.2K

Use SQL to explore and analyze GoodThought NGOs database, uncovering key insights from over 13 years of transformative projects.

• BasicLivello di competenza
• 4.0+
• 1.1K

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

• IntermedioLivello di competenza
• 4.2+
• 1.1K

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

• IntermedioLivello di competenza
• 4.4+
• 1.1K

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

• BasicLivello di competenza
• 4.3+
• 1K

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

• IntermedioLivello di competenza
• 3.7+
• 1K

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

• IntermedioLivello di competenza
• 4.3+
• 941

Extract structured data from unstructured natural language in medical transcriptions using the OpenAI API.

• BasicLivello di competenza
• 4.3+
• 893

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

• IntermedioLivello di competenza
• 4.1+
• 871

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

• BasicLivello di competenza
• 4.1+
• 861

Dive into sleep data and gain insights about factors that impact sleep quality

• BasicLivello di competenza
• 4.4+
• 810

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

• IntermedioLivello di competenza
• 4.0+
• 810

Analyze clothing reviews on an e-commerce platform to explore different topics and similarities among them.

• IntermedioLivello di competenza
• 4.1+
• 801

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

• IntermedioLivello di competenza
• 4.2+
• 793

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

• IntermedioLivello di competenza
• 4.0+
• 785

Automate e-commerce processes with image classification.