Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.
Learn how to write unit tests for your Data Science projects in Python using pytest.
Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.
Learn how to pull character strings apart, put them back together and use the stringr package.
This course covers everything you need to know to build a basic machine learning monitoring system in Python
This introductory course will help you hone the skills to build effective, performant, and reliable data pipelines.
Learn how to use GitHub's various features, navigate the interface and perform everyday collaborative tasks.
Take your R skills up a notch by learning to write efficient, reusable functions.
Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control
Learn how to clean and prepare your data for machine learning!
Familiarize yourself with Git for version control. Explore how to track, compare, modify, and revert files, as well as collaborate with colleagues using Git.
Understand the fundamentals of Machine Learning and how it's applied in the business world.
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!
Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.
Using Python and NumPy, learn the most fundamental financial concepts.
In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.
Learn defensive programming in R to make your code more robust.
Learn how to build interactive and insight-rich dashboards with Dash and Plotly.
Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.
Learn how to work with streaming data using serverless technologies on AWS.
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
Learn how to create and query relational databases using SQL in just two hours.
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.
Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.
Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.
Gain a clear understanding of GDPR principles and how to set up GDPR-compliant processes in this comprehensive course.
Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.
Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.
Learn to process sensitive information with privacy-preserving techniques.
If you've never done a DataCamp project, this is the place to start!
If you have never done a DataCamp project, this is the place to start!
If you've never done a DataCamp project, this is the place to start!
In this project, we will use data manipulation skills to zoom in on a time when Lego explored a new direction for their toy line!
In this project, you will use importing and text manipulation skills to find out the main protagonists in Peter Pan!
Use text mining to analyze Jeopardy! data.
Discover how the US bond yields behave using descriptive statistics and advanced modeling.
Use logistic regression to determine which treatment procedure is more effective for kidney stone removal.
Explore acoustic backscatter data to find fish in the U.S. Atlantic Ocean.
Use regression trees and random forests to find places where New York taxi drivers earn the most.
Get ready for Halloween by digging into a FiveThirtyEight dataset with all your favorite candy!
Use web scraping and NLP to find the most frequent words in one of two pieces of classic literature: Herman Melville's novel, Moby Dick, or Peter Pan by J. M. Barrie.
Conduct a supply chain analysis of the ingredients used in an avocado toast to gain an understanding of the complex supply chain involved.
Explore local and global fitness trends to identify product niches. Investigate online interest in gyms, workouts, digital services, and web apps.
Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.
Find the true Scala experts by exploring its development history in Git and GitHub.
Use joins and set theory to discover the best years for video games!
Apply data importing and cleaning skills to extract insights about the New York City Airbnb market.
Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV data.
Apply data importing and cleaning skills to extract insights about the New York City Airbnb market.
Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV data.
Analyze the dialog and IMDB ratings of 287 South Park episodes. Warning: contains explicit language.
Analyze product data for an online sports retail company to optimize revenue.
Use categorization and ranking techniques to explore 101 years of American baby name tastes.
Write functions to forecast time series of food prices in Rwanda.
Write functions to forecast time series of food prices in Rwanda.
Apply your skills from "Working with Dates and Times in R" to breathalyzer data from Ames, Iowa.
Apply hierarchical and mixed-effect models to analyze Maryland crime rates.
Find out about the evolution of the Linux operating system by exploring its version control system.
Predict the impact of climate change on bird distributions using spatial data and machine learning.
Arctic Penguin Exploration: Unraveling Clusters in the Icy Domain with K-means Clustering
Create and explore interactive maps using Leaflet to determine where to open the next Chipotle.
You will explore the market capitalization of Bitcoin and other cryptocurrencies.
Use data manipulation and visualization to explore one of two different television broadcast datasets: The Super Bowl and hit sitcom The Office!
Sometimes, things that once worked perfectly suddenly hit a snag. Now it's your time to shine and fix what broke! Practice your knowledge of DataFrames to find the problem and work out a solution.
Perform a machine learning experiment to find the best model that predicts the temperature in London!
Test your Data engineering skills by creating a data pipeline to analyze E-commerce business of Walmart!
Use Natural Language Processing on NIPS papers to uncover the trendiest topics in machine learning research.
Apply unsupervised learning techniques to help plan an education program in Argentina.
Load, clean, and visualize scraped Google Play Store data to gain insights into the Android app market.
Load, clean, and visualize scraped Google Play Store data to gain insights into the Android app market.
Analyze the network of characters in Game of Thrones and how it changes over the course of the books.
Use data science to catch criminals, plus find new ways to volunteer personal time for social good.
Explore the salary potential of college majors with a k-means cluster analysis.
Apply your data manipulation skills to time series data on water levels of the River Thames.
Use NLP and clustering on movie plot summaries from IMDb and Wikipedia to quantify movie similarity.
Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.
Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.
Use summary statistics and filters to analyze test scores across New York City's public schools!
Visualize the rise of COVID-19 cases globally with ggplot2.