Market Basket Analysis in R
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.
Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.
Learn to analyze, plot, and model multivariate data.
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.
Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.
Learn how to visualize time series in R, then practice with a stock-picking case study.
Learn to detect fraud with analytics in R.
Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.
Advance you R finance skills to backtest, analyze, and optimize financial portfolios.
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.
Learn to analyze and model customer choice data in R.
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.
In this course you'll learn how to create static and interactive dashboards using flexdashboard and shiny.
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.
Learn to create animated graphics and linked views entirely in R with plotly.
Continue learning with purrr to create robust, clean, and easy to maintain iterative code.
Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.
In this course you'll learn how to use data science for several common marketing tasks.
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.
Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network
Use C++ to dramatically boost the performance of your R code.
In this course, you'll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.