No background necessary to start this track! Build a solid foundation in R and learn how to work with data in the most common formats. Then, create powerful static and interactive visualizations to convey your findings clearly. Once you have a solid foundation in R, you’ll start digging into data to find new patterns, trends, and relationships. These skills will give you a deeper understanding of your data so you can solve problems faster and see the effects of actions you take. Finally, learn how to identify new groups and then predict trends with powerful regression techniques. By the time you're done with these courses, you'll be qualified to work as a data analyst!
Introduction to R and Visualization
Learn how to quickly manipulate data in RStudio, prepare it for analysis, and turn it into awesome visualizations in minutes – all in R, a free, open-source software that is the preferred tool of professional statisticians and data scientists. No background in math or programming required!
Dr. Harlan Harris
Learn the best principles behind data visualization, then learn how to create dynamic data visualizations and embed them into websites or dashboards for your clients. This course also teaches you how to quickly collect data from websites so you can visualize information that you weren’t able to get before.
Dr. Keegan Hines
Clustering and Finding Patterns
Isn’t it time you found those hidden patterns and insights? Learn how to approach various types of data to find patterns, perform different types of clustering analyses, and evaluate the quality of the results. Then automate those processes to save time and exponentially increase your data analysis capabilities.
Regression and Time Series Analysis
Once you’ve found patterns in your data, you need to make forecasts about the future. Many factors can affect the outcomes of sales, political campaigns and product usage. Learn how to apply advanced regression and time series models to create accurate forecasts for your organization and make better decisions when creating your strategies.
Dr. Kaska Adoteye
Take your data mining to the next level with this network analysis series. Learn how to find hierarchical structures in groups, pull thousands of Twitter records, and predict how a message will spread through a network. You’ll learn how to implement powerful network analysis techniques and know when to implement each one for the results you need.
Introduction to Network Analysis
Learn how to use data science to identify weak points in supply chains and communication channels to prevent failures, identify key and peripheral players to target in your marketing campaigns and generate context from the pattern of connections among people, places and objects.
Mining Social Media + Network Diffusion
How can you best spread a message through a community? Learn how to identify key influencers, determine which connectors are most important to a network, and measure influence and trust. After this course, you’ll know how to create a strategy to spread your message most effectively through a network and test your model in a video simulation.
SUPPLEMENT: Mining the Twitter API
This is a supplement to the Mining Social Media course where you’ll learn how to automatically download thousands of records from Twitter and clean the data.
Text mining analyst: coming soon
Not all data is numerical – one of the most generated sources of information is through text. This series of courses will teach you how to pull main ideas from documents, classify them according to topic, and build maps to easily understand connections between documents. You’ll understand the most advanced text mining techniques that will significantly reduce the time you spend reading through thousands of papers.
Predictive analyst: coming soon
Prediction. The holy grail of data analytics. Classification can predict the behavior of individuals and sort out your customers into pre-determined groups based on their purchasing patterns. In this series of courses, we’ll take you through all the models you need to know to take your data analytics skills to the next level and anticipate your clients’ next moves.