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Mixture Models in R
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.
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Case Studies: Network Analysis in R
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.
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Introduction to Anomaly Detection in R
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.
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Analyzing Social Media Data in R
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
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Probability Puzzles in R
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.
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HR Analytics: Predicting Employee Churn in R
Predict employee turnover and design retention strategies.
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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
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Fraud Detection in R
Learn to detect fraud with analytics in R.
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Bayesian Modeling with RJAGS
In this course, you'll learn how to implement more advanced Bayesian models using RJAGS.
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Case Study: Analyzing Fitness Data in Alteryx
Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!
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Differential Expression Analysis with limma in R
Learn to use the Bioconductor package limma for differential gene expression analysis.
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Intermediate Predictive Analytics in Python
Learn how to prepare and organize your data for predictive analytics.
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Multivariate Probability Distributions in R
Learn to analyze, plot, and model multivariate data.
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Analyzing US Census Data in R
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.
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Market Basket Analysis in R
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
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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.
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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.
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Inference for Numerical Data in R
In this course you'll learn techniques for performing statistical inference on numerical data.
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GARCH Models in R
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
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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.
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Case Study: Analyzing Healthcare Data in Tableau
Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
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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.
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HR Analytics: Predicting Employee Churn in Python
In this course you'll learn how to apply machine learning in the HR domain.
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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.