Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.3+
• 158

In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.

• BasicSkill Level
• 4.7+
• 156

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

• BasicSkill Level
• 4.6+
• 156

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

• AdvancedSkill Level
• 4.7+
• 155

Learn to use the Bioconductor package limma for differential gene expression analysis.

• AdvancedSkill Level
• 4.5+
• 155

In this course youll learn techniques for performing statistical inference on numerical data.

• IntermediateSkill Level
• 4.8+
• 154

Learn to import, manipulate, and transform data in Java using the Tablesaw library. Work with CSV files, tabular structures, and complex JSON formats.

• IntermediateSkill Level
• 4.8+
• 154

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

• IntermediateSkill Level
• 4.5+
• 154

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

• BasicSkill Level
• 4.4+
• 154

Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.

• BasicSkill Level
• 4.5+
• 149

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

• IntermediateSkill Level
• 4.8+
• 146

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

• AdvancedSkill Level
• 4.3+
• 145

Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

• IntermediateSkill Level
• 4.5+
• 144

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

• IntermediateSkill Level
• 4.5+
• 143

Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

• IntermediateSkill Level
• 4.8+
• 141

Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.

• IntermediateSkill Level
• 4.7+
• 141

Master data cleaning in Java using statistical methods, transformations, and validation for reliable apps.

• IntermediateSkill Level
• 4.6+
• 140

Learn how to access financial data from local files as well as from internet sources.

• IntermediateSkill Level
• 4.3+
• 138

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

• IntermediateSkill Level
• 4.7+
• 134

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

• AdvancedSkill Level
• 4.6+
• 132

Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

• AdvancedSkill Level
• 4.6+
• 131

In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

• IntermediateSkill Level
• 4.6+
• 131

Learn the bag of words technique for text mining with R.

• AdvancedSkill Level
• 4.7+
• 129

Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

• IntermediateSkill Level
• 4.6+
• 128

Learn to easily summarize and manipulate lists using the purrr package.

• IntermediateSkill Level
• 4.5+
• 127

Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

• IntermediateSkill Level
• 4.9+
• 122

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

• IntermediateSkill Level
• 4.6+
• 120

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

• BasicSkill Level
• 4.5+
• 120

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

• IntermediateSkill Level
• 4.6+
• 119

Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

• IntermediateSkill Level
• 4.4+
• 117

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.