Learn to use spreadsheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.
Data-driven organizations consistently rely on insights to inspire action and drive change.
Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.
Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.
Learn to implement distributed data management and machine learning in Spark using the PySpark package.
You will investigate a dataset from a fictitious company called Databel in Power BI, and need to figure out why customers are churning.
Discover the full potential of LLMs with our conceptual course covering LLM applications, training methodologies, ethical considerations, and latest research.
Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
Learn to combine data across multiple tables to answer more complex questions with dplyr.
No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.
Learn about data science for managers and businesses and how to use data to strengthen your organization.
Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Take your Tableau skills up a notch with advanced analytics and visualizations.
Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
Learn the key concepts of data modeling on Power BI.
Learn to design databases in SQL.
Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.
Improve your Python data importing skills and learn to work with web and API data.
A non-coding introduction to cloud computing, covering key concepts, terminology, and tools.
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.
In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.
This course will take you from Snowflake's foundational architecture to mastering advanced SnowSQL techniques.
Learn to use best practices to write maintainable, reusable, complex functions with good documentation.
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.
Explore the world of Pivot Tables within Google Sheets, and learn how to quickly organize thousands of data points with just a few clicks of the mouse.
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.
Gain a clear understanding of data privacy principles and how to implement privacy and security processes.
Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.
Expand your spreadsheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
Learn how to analyze a SQL table and report insights to management.
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
Join two or three tables together into one, combine tables using set theory, and work with subqueries in PostgreSQL.
Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.
Learn how to work with dates and times in Python.
Learn to clean data as quickly and accurately as possible to help your business move from raw data to awesome insights.
Learn the fundamentals of data visualization using spreadsheets.
Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.
Enhance your reports with Power BI's Exploratory Data Analysis (EDA). Learn what EDA is for Power BI and how it can help you extract insights from your data.
In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.
Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.
This course introduces dbt for data modeling, transformations, testing, and building documentation.
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.
Use pandas and Bayesian statistics to see if left-handed people actually die earlier than righties.
Create and explore interactive maps using Leaflet to determine where to open the next Chipotle.
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?
How can we find a good strategy for reducing traffic-related deaths?
Get ready for Halloween by digging into a FiveThirtyEight dataset with all your favorite candy!
Rock or rap? Apply machine learning methods in Python to classify songs into genres.
Examine the relationship between heart rate and heart disease using multiple logistic regression.
Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed?
Examine the network of connections among local health departments in the United States.
Analyze the relative popularity of programming languages over time based on Stack Overflow data.
Build a model that can automatically detect honey bees and bumble bees in images.
If you have never done a DataCamp project, this is the place to start!
Automatically generate keywords for a search engine marketing campaign using Python.
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.
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!
Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed?
Use MLB's Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.
Flex your data manipulation muscles on breath alcohol test data from Ames, Iowa, USA.
Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.
Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.
Analyze an A/B test from the popular mobile puzzle game, Cookie Cats.
Analyze athletics data to find new ways to scout and assess jumpers and throwers.
Compare life expectancy across countries and genders with ggplot2.
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.
Use data manipulation, cleaning, and feature engineering skills to prepare a payment dataset for fraud prediction modeling.
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.
Use summary statistics and filters to analyze test scores across New York City's public schools!
Use joins and set theory to discover the best years for video games!
Check what passwords fail to conform to the National Institute of Standards and Technology password guidelines.
Analyze data from the hit mobile game, Candy Crush Saga.
Use joining techniques to discover the oldest businesses in the world.
Apply data importing and cleaning skills to extract insights about the New York City Airbnb market.
Recreate John Snow's famous map of the 1854 cholera outbreak in London.
Use data management and exploratory data analysis skills to help analyze the UK Dairy Industry.
Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV data.
Use coding best practices and functions to improve a script!
Use DataFrames to read and merge employee data from different sources.
Apply data importing and cleaning skills to extract insights about the New York City Airbnb market.
Load, clean, and visualize scraped Google Play Store data to gain insights into the Android app market.
Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.
Analyze the relative popularity of programming languages over time based on Stack Overflow data.
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 joining techniques to discover the oldest businesses in the world.
Find out about the evolution of the Linux operating system by exploring its version control system.