Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.8+
• 117

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

• IntermediateSkill Level
• 4.5+
• 116

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.

• AdvancedSkill Level
• 4.6+
• 112

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

• AdvancedSkill Level
• 4.8+
• 108

Learn to process sensitive information with privacy-preserving techniques.

• BasicSkill Level
• 4.5+
• 107

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

• IntermediateSkill Level
• 4.6+
• 106

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

• AdvancedSkill Level
• 4.1+
• 105

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

• BasicSkill Level
• 4.7+
• 104

Explore GDPR through real-world cases on data rights, breaches, and compliance challenges.

• IntermediateSkill Level
• 4.3+
• 103

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

• IntermediateSkill Level
• 4.8+
• 102

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

• IntermediateSkill Level
• 4.3+
• 99

In this course youll learn how to apply machine learning in the HR domain.

• IntermediateSkill Level
• 4.7+
• 98

Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

• IntermediateSkill Level
• 4.8+
• 96

Learn defensive programming in R to make your code more robust.

• IntermediateSkill Level
• 4.5+
• 96

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

• IntermediateSkill Level
• 4.0+
• 94

You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.

• IntermediateSkill Level
• 4.7+
• 93

Learn to analyze, plot, and model multivariate data.

• IntermediateSkill Level
• 4.7+
• 93

Explore HR data analysis in Tableau with this case study.

• IntermediateSkill Level
• 4.2+
• 92

Learn to detect fraud with analytics in R.

• BasicSkill Level
• 4.7+
• 91

Stop rewriting the same joins and calculations, and dive into well-governed, scalable analytics using Sigma data models.

• IntermediateSkill Level
• 4.6+
• 90

Learn to create animated graphics and linked views entirely in R with plotly.

• AdvancedSkill Level
• 4.7+
• 87

In this course youll learn how to leverage statistical techniques for working with categorical data.

• IntermediateSkill Level
• 4.3+
• 86

Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.

• AdvancedSkill Level
• 4.9+
• 85

In this course, youll learn how to implement more advanced Bayesian models using RJAGS.

• IntermediateSkill Level
• 4.5+
• 84

In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

• IntermediateSkill Level
• 4.6+
• 80

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

• IntermediateSkill Level
• 4.4+
• 80

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

• BasicSkill Level
• 4.7+
• 79

Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.

• IntermediateSkill Level
• 4.9+
• 78

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

• BasicSkill Level
• 4.8+
• 76

Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.

• BasicSkill Level
• 4.8+
• 76

This course provides an overview of the opportunities and challenges companies encounter in their digital transformation journey.