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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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Optimizing R Code with Rcpp
Use C++ to dramatically boost the performance of your R code.
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Machine Learning for Marketing Analytics in R
In this course you'll learn how to use data science for several common marketing tasks.
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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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Building Response Models in R
Learn to build simple models of market response to increase the effectiveness of your marketing plans.
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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.
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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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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.
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Intermediate Regular Expressions in R
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.
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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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Intermediate Interactive Data Visualization with plotly in R
Learn to create animated graphics and linked views entirely in R with plotly.
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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.
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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.
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Defensive R Programming
Learn defensive programming in R to make your code more robust.
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Intermediate Functional Programming with purrr
Continue learning with purrr to create robust, clean, and easy to maintain iterative code.
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Scalable Data Processing in R
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.
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Fraud Detection in R
Learn to detect fraud with analytics in R.
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Data Manipulation with data.table in R
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.
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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.