Statistics is the study of how best to collect, analyze, and draw conclusions from data. A strong foundation will serve you well, no matter what industry you work in. In this beginner’s track, you'll learn the concepts, topics, and techniques used by data scientists and statisticians every day—including observational studies and experiments, correlation, regression, exploratory data analysis, and inference. You’ll also develop your stats skills by working with real-world data, including Stack Overflow surveys, real estate prices, and medical shipment data. Start this track today to learn about the power of statistics and how it can be used in your day-to-day analyses!
Time Series
with R
Time Series
Learn how to extract meaningful insights from time series data in R with this six-course track. Explore how to model, forecast, and visualize time series data using R programming.
Time series are all around us, from server logs to high-frequency financial data. With this track, you’ll learn how to manipulate time series data, how to use R for time series analysis, and how time series modeling works.
You’ll also cover time series forecasting in R, learning how to make predictions about the future based on data. After you finish learning how to visualize time series data, you’ll complete a case study using real data and the R skills you’ve developed so far.
By the time you complete this track, you’ll have the confidence to work with your own time series data in R.
Marketing Analytics
with R
Marketing Analytics
Gain the R skills you need to make more data-driven marketing decisions. In this track, you’ll learn how to measure customer engagement, perform competitor analysis, and identify untapped networks. Working with real-world data, including Roomba reviews and customer churn metrics, you'll discover how to analyze social media data, extract insights from text data, and gain market basket analysis skills that will help you better understand your customers. You’ll also use statistical models and machine learning to forecast customer lifetime value. Through hands-on activities, you’ll use popular packages such as tidytext, wordcloud, rtweet, topicmodels, and ggplot2 to help you improve your company’s marketing strategy. By the end of the track, you'll be ready to navigate the world of marketing using R.
Statistical Inference
with R
Statistical Inference
Familiarize yourself with the core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.
Statistician
with R
Statistician
Master the essential skills to land a job as a statistician! Using statistics, you can help solve real-world problems in business, engineering, the sciences, and many other fields. In this track, you'll learn how to use statistical methods to explore and model data, draw conclusions from a wide variety of datasets, and interpret and report findings.
