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.

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

Implement retrieval augmented generation (RAG) with LangChain to create a chatbot for answering questions about technical documentation.

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

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

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

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