Data, AI, and Cloud Courses

• BasicSkill Level
• 4.6+
• 172

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

• BasicSkill Level
• 4.5+
• 172

You learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.

• IntermediateSkill Level
• 4.3+
• 168

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

• IntermediateSkill Level
• 4.5+
• 166

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

• IntermediateSkill Level
• 4.8+
• 165

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
• 4.5+
• 163

Discover how to talk to your data using text-to-query AI agents with MongoDB and LangGraph.

• IntermediateSkill Level
• 4.2+
• 163

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

• IntermediateSkill Level
• 4.5+
• 162

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

• AdvancedSkill Level
• 4.5+
• 159

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

• IntermediateSkill Level
• 4.7+
• 155

Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.

• AdvancedSkill Level
• 4.5+
• 154

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

• AdvancedSkill Level
• 4.6+
• 152

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

• BasicSkill Level
• 4.5+
• 152

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

• BasicSkill Level
• 4.5+
• 151

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

• IntermediateSkill Level
• 4.8+
• 148

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

• BasicSkill Level
• 4.8+
• 148

This course explores how organizations can use custom gen AI agents to help tackle specific business challenges.

• IntermediateSkill Level
• 4.5+
• 148

In this course youll learn how to use data science for several common marketing tasks.

• IntermediateSkill Level
• 4.7+
• 146

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

• IntermediateSkill Level
• 4.8+
• 144

Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!

• AdvancedSkill Level
• 4.4+
• 142

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+
• 139

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

• IntermediateSkill Level
• 4.7+
• 138

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

• IntermediateSkill Level
• 4.5+
• 138

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

• IntermediateSkill Level
• 4.7+
• 134

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

• IntermediateSkill Level
• 4.8+
• 133

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

• IntermediateSkill Level
• 4.7+
• 133

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

• IntermediateSkill Level
• 4.6+
• 130

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

• BasicSkill Level
• 4.4+
• 130

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

• IntermediateSkill Level
• 4.6+
• 126

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

• IntermediateSkill Level
• 4.5+
• 125

GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.