Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.
Learn the fundamentals of valuing stocks.
In this course youll learn how to use data science for several common marketing tasks.
Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.
Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.
Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.
Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Are you curious about the inner workings of the models that are behind products like Google Translate?
Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.
GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.
Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.
Advance you R finance skills to backtest, analyze, and optimize financial portfolios.
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!
Learn to process sensitive information with privacy-preserving techniques.
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.
You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.
Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.
Learn to easily summarize and manipulate lists using the purrr package.
In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.