Data, AI, and Cloud Courses

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Use categorization and ranking techniques to explore 101 years of American baby names.

Use SQL to analyze a database containing information about Student performance!