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Learn how to find free, public sources of data on a variety of business, education, and health issues and download the data for your own analysis
Learn more statistics fundamentals
Learn statistics
Analytics is such a broad topic that it's hard to know where to get started
Learn how to identify, evaluate, and access the public health data sources driving COVID-19 dashboards, including 1Point3Acres, BNO News, and the COVID Tracking Project
Learn the key concepts and skills behind one of the most important elements of data science: data mining
Save time, and make your code more readable and reusable, by learning the most powerful Python functions for data science
Learn how to create data-rich Excel dashboards using Power Query
Move past the basics of regression analysis and learn how to build models for prediction and forecasting, and for inferring causal relationships between variables
Learn how to combine Power Query and Power Pivot, two robust features of Microsoft Excel, to analyze data
This course covers foundational data analysis skills such as thinking like an analyst, gathering useful data, SQL queries, data cleaning, and more
Interested in using Python for data analysis? Learn how to use Python, NumPy, and pandas together to analyze data sets large and small
Start thinking more clearly and strategically about data visualization
Learn how to wrangle data and create meaningful visualizations with R, the programming language powering modern data science
Learn what you need to know to analyze and display data using Tableau 2020
Learn about the time-saving capabilities of Power Query (Get & Transform) for easily importing, connecting, combining, and refining data in Excel with reusable queries
Learn how to provide quality data sets and accurate visualizations and explore practical skills to get the most from your data
Get an intro to Power Query, a set of robust features in Microsoft Excel
Learn how to combine the analytical strengths of R with the visualization power of Tableau to analyze and present data more effectively
Learn how to design an A/B test for a web page, run the test, analyze the data, and make decisions based on the results of the test
Get the data you need for analysis and reporting by writing your own SQL code
Learn the ins and outs of fantasy football
Learn quick ways to become more organized and efficient when using Power Query, a tool inside Microsoft Excel that lets you search, connect, and shape data
Build an SQL project from start to finish in this first installment of a four-part data science series
Learn how to work with, visualize, and present data using Apache Spark
Learn easy-to-use commands, features, and functions for managing and analyzing large amounts of data in Excel 2019 and Excel for Office 365
Learn how anyone, in any industry, can speak the language of data analysis
Unlock the power of your organization's data
Learn the essential techniques for cleansing and processing text in Python
Learn how to conduct exploratory data analytics on Google Cloud Platform
Learn how to use Power Query, a popular feature in Microsoft Excel for gathering and cleansing data
Learn how to use SQL to understand the characteristics of data sets destined for data science and machine learning
Learn how to use lists, libraries, and views properly to manage SharePoint data
Deepen your SAS knowledge by learning how to conduct a regression analysis of a health survey data center using this popular data analytics platform
Discover how to use Excel and Access 2016 together
Learn how to use the Python scientific stack to complete data science tasks
Visualize your Access data using Excel dashboards
Learn the basics of data analytics: using data for analysis and reporting
Discover how to visualize your data using Tableau Desktop—and make better, more data-driven decisions
Get your data out of Microsoft Access and make it easier to share with others
Discover data's role in user-centered design thinking
Learn how to carry out cluster analysis and principal components analysis using R, the open-source statistical computing software
Learn how to use FileMaker Go 16, the app that allows custom FileMaker apps to run on iOS devices
Discover linear regression modeling and logistic regression modeling using R
Learn how to analyze data using the Mathematica 11 environment and language
Get an introduction to pandas, the Python library for data analysis and data science
Analyze hypothetical business cases using Excel formulas and variable data
Learn how to conduct a full analysis of healthcare datasets using R by analyzing the Behavioral Risk Factor Surveillance System (BRFSS), a public health surveillance survey
Learn easy-to-use commands, features, and functions for managing and analyzing large amounts of data in Excel 2016
Unleash the power of open data
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