Data, AI, and Cloud Courses

• BasicSkill Level
• 4.2+
• 120

Elevate your analysis with this hands-on course using SQL with DataLab workbooks.

• IntermediateSkill Level
• 4.8+
• 118

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

• BasicSkill Level
• 4.7+
• 116

Innovating with Google Cloud AI

• IntermediateSkill Level
• 4.5+
• 116

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

• BasicSkill Level
• 4.5+
• 114

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

• IntermediateSkill Level
• 4.6+
• 113

Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

• IntermediateSkill Level
• 4.6+
• 112

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

• IntermediateSkill Level
• 4.7+
• 110

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

• IntermediateSkill Level
• 4.4+
• 109

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.

• BasicSkill Level
• 4.8+
• 107

This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization.

• IntermediateSkill Level
• 4.5+
• 106

Learn the fundamentals of valuing stocks.

• AdvancedSkill Level
• 4.6+
• 105

Learn how to tune your models hyperparameters to get the best predictive results.

• AdvancedSkill Level
• 4.7+
• 103

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

• IntermediateSkill Level
• 4.6+
• 102

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

• AdvancedSkill Level
• 4.2+
• 102

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

• IntermediateSkill Level
• 4.7+
• 101

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

• IntermediateSkill Level
• 4.3+
• 100

Learn to detect fraud with analytics in R.

• IntermediateSkill Level
• 4.6+
• 99

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
• 4.6+
• 98

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

• IntermediateSkill Level
• 4.7+
• 97

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

• IntermediateSkill Level
• 4.5+
• 97

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

• AdvancedSkill Level
• 4.7+
• 96

Learn to process sensitive information with privacy-preserving techniques.

• BasicSkill Level
• 4.5+
• 96

Collaborate with AI to make recruiting, people ops, and policy engagement faster and fairer.

• IntermediateSkill Level
• 4.5+
• 95

Learn to analyze, plot, and model multivariate data.

• BasicSkill Level
• 4.8+
• 94

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

• BasicSkill Level
• 4.4+
• 94

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

• BasicSkill Level
• 4.8+
• 93

Exploring Data Transformation with Google Cloud

• IntermediateSkill Level
• 4.7+
• 93

Explore HR data analysis in Tableau with this case study.

• IntermediateSkill Level
• 4.3+
• 93

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

• IntermediateSkill Level
• 4.3+
• 91

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