Learn how to create, customize, and share data visualizations using Matplotlib.
Learn how to create informative and attractive visualizations in Python using the Seaborn library.
Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.
Learn how to build interactive and insight-rich dashboards with Dash and Plotly.
Create interactive data visualizations in Python using Plotly.
Visualize seasonality, trends and other patterns in your time series data.
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!
You will explore the market capitalization of Bitcoin and other cryptocurrencies.
Learn to analyze Twitter data and do a deep dive into a hot trend.
Explore Disney movie data, then build a linear regression model to predict box office success.
Import, clean, and analyze seven years worth of training data tracked on the Runkeeper app.
Process ingredient lists for cosmetics on Sephora then visualize similarity using t-SNE and Bokeh.
Use data manipulation and visualization to explore one of two different television broadcast datasets: The Super Bowl and hit sitcom The Office!
Use NLP and clustering on movie plot summaries from IMDb and Wikipedia to quantify movie similarity.
Load, clean, and visualize scraped Google Play Store data to gain insights into the Android app market.
Scrape news headlines for FB and TSLA then apply sentiment analysis to generate investment insight.
Build a book recommendation system using NLP and the text of books like "On the Origin of Species."
Build a deep learning model that can automatically detect honey bees and bumble bees in images.
Manipulate and plot time series data from Google Trends to analyze changes in search interest over time.
Build a convolutional neural network to classify images of letters from American Sign Language.
Play bank data scientist and use regression discontinuity to see which debts are worth collecting.
Use pandas and Bayesian statistics to see if left-handed people actually die earlier than righties.
Flex your data manipulation muscles on breath alcohol test data from Ames, Iowa, USA.
Build a machine learning classifier that knows whether President Trump or Prime Minister Trudeau is tweeting!
How can we find a good strategy for reducing traffic-related deaths?
Rock or rap? Apply machine learning methods in Python to classify songs into genres.
Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed?
Build a model that can automatically detect honey bees and bumble bees in images.
Load, transform, and understand images of honey bees and bumble bees in Python.
If you've never done a DataCamp project, this is the place to start!
Use MLB's Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.
Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.
Find the true Scala experts by exploring its development history in Git and GitHub.
Use Natural Language Processing on NIPS papers to uncover the trendiest topics in machine learning research.
Recreate John Snow's famous map of the 1854 cholera outbreak in London.
Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV data.
Load, clean, and visualize scraped Google Play Store data to gain insights into the Android app market.
Manipulate and plot time series data from Google Trends to analyze changes in search interest over time.
Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV data.
Use a variety of data manipulation techniques to explore different aspects of Lego's history!