डेटा, AI, और क्लाउड पाठ्यक्रम

• बुनियादीकौशल स्तर
• 4.8+
• 587

Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

• मध्यमकौशल स्तर
• 4.8+
• 582

In this course, students will learn to write queries that are both efficient and easy to read and understand.

• मध्यमकौशल स्तर
• 4.8+
• 579

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

• उन्नतकौशल स्तर
• 4.8+
• 578

Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.

• बुनियादीकौशल स्तर
• 4.9+
• 575

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

• बुनियादीकौशल स्तर
• 4.8+
• 573

Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.

• मध्यमकौशल स्तर
• 4.9+
• 571

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

• मध्यमकौशल स्तर
• 4.8+
• 564

Learn how to pull character strings apart, put them back together and use the stringr package.

• बुनियादीकौशल स्तर
• 4.8+
• 563

In this course youll learn to use and present logistic regression models for making predictions.

• बुनियादीकौशल स्तर
• 4.8+
• 562

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

• बुनियादीकौशल स्तर
• 4.8+
• 560

Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.

• मध्यमकौशल स्तर
• 4.8+
• 555

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

• मध्यमकौशल स्तर
• 4.8+
• 552

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

• मध्यमकौशल स्तर
• 4.8+
• 550

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

• बुनियादीकौशल स्तर
• 4.9+
• 539

• मध्यमकौशल स्तर
• 4.8+
• 539

Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

• मध्यमकौशल स्तर
• 4.9+
• 537

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

• उन्नतकौशल स्तर
• 4.8+
• 537

Prepare for your next coding interviews in Python.

• उन्नतकौशल स्तर
• 4.8+
• 535

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

• मध्यमकौशल स्तर
• 4.8+
• 530

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

• मध्यमकौशल स्तर
• 4.9+
• 529

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

• मध्यमकौशल स्तर
• 4.9+
• 528

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

• बुनियादीकौशल स्तर
• 4.9+
• 526

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

• मध्यमकौशल स्तर
• 4.8+
• 523

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

• मध्यमकौशल स्तर
• 4.8+
• 521

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

• मध्यमकौशल स्तर
• 4.8+
• 517

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

• मध्यमकौशल स्तर
• 4.8+
• 514

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

• बुनियादीकौशल स्तर
• 4.8+
• 509

Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.

• मध्यमकौशल स्तर
• 4.7+
• 507

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

• मध्यमकौशल स्तर
• 4.8+
• 504

In this course, youll learn how to import and manage financial data in Python using various tools and sources.