Investigating Netflix Movies
Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
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.
Use data manipulation and summary statistics to analyze test scores across New York City's public schools!
Explore a dataset containing a century's worth of Nobel Laureates. Who won? Who got snubbed?
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.
Write SQL queries to answer interesting questions about international debt using data from The World Bank.
Use skills gained in the Associate Data Analyst in SQL career track to derive insights about motorcycle part sales over time across multiple warehouse sites!
Use data manipulation and visualization to explore one of two different television broadcast datasets: The Super Bowl and hit sitcom The Office!
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.
Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!
Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.
Use SQL to figure out the golden era of video games!
Tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files.
Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's!
Arctic Penguin Exploration: Unraveling Clusters in the Icy Domain with K-means Clustering
Use categorization and ranking techniques to explore 101 years of American baby name tastes.
Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.
Identify issues in a manufacturing process using SQL window functions and subqueries
Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!
Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.
Use joining techniques to discover the oldest businesses in the world.
Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.
Use your SQL skills to find out how many companies reached a valuation of over $1 billion across different industries between 2019 and 2021!
Automatically generate keywords for a search engine marketing campaign using Python.
You will explore the market capitalization of Bitcoin and other cryptocurrencies.
Use a variety of data manipulation techniques to explore different aspects of Lego's history!
Use SQL to analyze a database containing information about Transport for London journeys over 12 years!
Rock or rap? Apply machine learning methods in Python to classify songs into genres.