Power BI is a powerful data visualization tool that can be used in reports and dashboards.
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 the fundamentals of data visualization using spreadsheets.
Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.
An introduction to data visualization with no coding involved.
Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.
Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.
Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.
Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!
Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.
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.
Create interactive data visualizations in Python using Plotly.
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
Master data visualization in Julia. Learn how to make stunning plots while understanding when and how to use them.
Learn to create animated graphics and linked views entirely in R with plotly.
Continue your data visualization journey where you'll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.
Master the Power BI basics and learn to use the data visualization software to build impactful reports.
Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.
Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.
You will investigate a dataset from a fictitious company called Databel in Power BI, and need to figure out why customers are churning.
Take your Tableau skills up a notch with advanced analytics and visualizations.
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.
Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.
You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.
Take your reporting skills to the next level with Tableau’s built-in statistical functions.
Learn how to build interactive and insight-rich dashboards with Dash and Plotly.
In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!
In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.
Visualize seasonality, trends and other patterns in your time series data.
Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.
Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.
Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.
Learn how to produce interactive web maps with ease using leaflet.
Learn how to design Power BI visualizations and reports with users in mind.
Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.
Learn how to visualize time series in R, then practice with a stock-picking case study.
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, you'll investigate data from an online pet supply company.
In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Explore HR data analysis in Tableau with this case study.
Visualize the rise of COVID-19 cases globally with ggplot2.
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.
Use R to make art and create imaginary flowers inspired by nature.
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!
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!
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.
Discover the top tools Kaggle participants use for data science and machine learning.
Import, clean, and analyze seven years worth of training data tracked on the Runkeeper app.
Use tree-based machine learning methods to identify the characteristics of legendary Pokémon.
Process ingredient lists for cosmetics on Sephora then visualize similarity using t-SNE and Bokeh.
Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows.
Use data manipulation and visualization to explore one of two different television broadcast datasets: The Super Bowl and hit sitcom The Office!
Apply hierarchical and mixed-effect models to analyze Maryland crime rates.
Use your logistic regression skills to protect people from becoming zombies!
Predict the impact of climate change on bird distributions using spatial data and machine learning.
Use NLP and clustering on movie plot summaries from IMDb and Wikipedia to quantify movie similarity.
Use cluster analysis to glean insights into cryptocurrency gambling behavior.
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.
Use data science to catch criminals, plus find new ways to volunteer personal time for social good.
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."
Explore the salary potential of college majors with a k-means cluster analysis.
If you've never done a DataCamp project, this is the place to start!
Analyze admissions data from UC Berkeley and find out if the university was biased against women.
Analyze the dialog and IMDB ratings of 287 South Park episodes. Warning: contains explicit language.
Build a deep learning model that can automatically detect honey bees and bumble bees in images.
Experiment with clustering algorithms to help doctors inform treatment for heart disease patients.
Explore acoustic backscatter data to find fish in the U.S. Atlantic Ocean.
Manipulate and plot time series data from Google Trends to analyze changes in search interest over time.
Write functions to forecast time series of food prices in Rwanda.
Apply text mining to Donald Trump's tweets to confirm if he writes the (angrier) Android half.
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.
Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.
Apply your skills from "Working with Dates and Times in R" to breathalyzer data from Ames, Iowa.
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?
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?