- All
- Favorite
- Popular
- Most rated
Mixture Models in R
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.
Optimizing R Code with Rcpp
Use C++ to dramatically boost the performance of your R code.
Machine Learning for Marketing Analytics in R
In this course you'll learn how to use data science for several common marketing tasks.
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.
Building Response Models in R
Learn to build simple models of market response to increase the effectiveness of your marketing plans.
Parallel Programming in R
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.
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.
Predicting CTR with Machine Learning in Python
Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.
Intermediate Regular Expressions in R
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.
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
Intermediate Interactive Data Visualization with plotly in R
Learn to create animated graphics and linked views entirely in R with plotly.
Data Manipulation in Julia
Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.
Introduction to Data Visualization with Julia
Master data visualization in Julia. Learn how to make stunning plots while understanding when and how to use them.
Defensive R Programming
Learn defensive programming in R to make your code more robust.
Intermediate Functional Programming with purrr
Continue learning with purrr to create robust, clean, and easy to maintain iterative code.
Scalable Data Processing in R
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.
Fraud Detection in R
Learn to detect fraud with analytics in R.
Data Manipulation with data.table in R
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.
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.