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Mixture Models in R
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.
Case Studies: Network Analysis in R
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.
Introduction to Anomaly Detection in R
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.
Analyzing Social Media Data in R
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
Probability Puzzles in R
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.
HR Analytics: Predicting Employee Churn in R
Predict employee turnover and design retention strategies.
Predictive Analytics using Networked Data in R
Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network
Fraud Detection in R
Learn to detect fraud with analytics in R.
Bayesian Modeling with RJAGS
In this course, you'll learn how to implement more advanced Bayesian models using RJAGS.
Case Study: Analyzing Fitness Data in Alteryx
Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!
Differential Expression Analysis with limma in R
Learn to use the Bioconductor package limma for differential gene expression analysis.
Intermediate Predictive Analytics in Python
Learn how to prepare and organize your data for predictive analytics.
Multivariate Probability Distributions in R
Learn to analyze, plot, and model multivariate data.
Analyzing US Census Data in R
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.
Market Basket Analysis in R
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
Case Study: Net Revenue Management in Google Sheets
You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.
Forecasting Product Demand in R
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.
Inference for Numerical Data in R
In this course you'll learn techniques for performing statistical inference on numerical data.
GARCH Models in R
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
Case Study: Inventory Analysis in Tableau
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.
Case Study: Analyzing Healthcare Data in Tableau
Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Case Studies in Statistical Thinking
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.
HR Analytics: Predicting Employee Churn in Python
In this course you'll learn how to apply machine learning in the HR domain.
Case Study: Analyzing City Time Series Data in R
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.