डेटा, AI, और क्लाउड पाठ्यक्रम

• मध्यमकौशल स्तर
• 4.8+
• 120

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

• मध्यमकौशल स्तर
• 4.8+
• 120

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

• मध्यमकौशल स्तर
• 4.8+
• 119

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

• उन्नतकौशल स्तर
• 4.7+
• 116

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

• मध्यमकौशल स्तर
• 4.9+
• 115

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

• बुनियादीकौशल स्तर
• 4.9+
• 112

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

• मध्यमकौशल स्तर
• 4.8+
• 111

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

• मध्यमकौशल स्तर
• 4.7+
• 109

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

• मध्यमकौशल स्तर
• 4.6+
• 106

Learn to choose, build with, and secure AWS data stores including DynamoDB and S3 through hands-on console exercises and real-world scenarios.

• मध्यमकौशल स्तर
• 4.8+
• 105

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

• उन्नतकौशल स्तर
• 4.8+
• 105

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

• मध्यमकौशल स्तर
• 4.9+
• 100

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

• मध्यमकौशल स्तर
• 4.8+
• 99

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

• बुनियादीकौशल स्तर
• 4.7+
• 99

Discover what all of the DeepSeek hype was really about! Build applications using DeepSeeks R1 and V3 models.

• मध्यमकौशल स्तर
• 4.7+
• 99

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.

• मध्यमकौशल स्तर
• 4.9+
• 98

Learn the fundamentals of valuing stocks.

• मध्यमकौशल स्तर
• 4.9+
• 97

Explore HR data analysis in Tableau with this case study.

• मध्यमकौशल स्तर
• 4.9+
• 95

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

• मध्यमकौशल स्तर
• 4.8+
• 95

Learn to analyze, plot, and model multivariate data.

• मध्यमकौशल स्तर
• 4.7+
• 93

Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

• बुनियादीकौशल स्तर
• 5.0+
• 92

Map agent types to your KPIs and explore use cases that solve problems, learn how Gemini Enterprise empowers you to build and orchestrate the right agents.

• उन्नतकौशल स्तर
• 4.9+
• 91

Learn to process sensitive information with privacy-preserving techniques.

• मध्यमकौशल स्तर
• 4.8+
• 90

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

• बुनियादीकौशल स्तर
• 4.9+
• 89

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

• बुनियादीकौशल स्तर
• 4.8+
• 88

Scaling with Google Cloud Operations

• उन्नतकौशल स्तर
• 4.8+
• 87

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

• मध्यमकौशल स्तर
• 4.8+
• 85

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

• मध्यमकौशल स्तर
• 4.9+
• 84

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

• मध्यमकौशल स्तर
• 4.4+
• 83

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

• उन्नतकौशल स्तर
• 4.9+
• 82

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