डेटा, AI, और क्लाउड पाठ्यक्रम

• मध्यमकौशल स्तर
• 4.8+
• 347

Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

• बुनियादीकौशल स्तर
• 4.9+
• 344

Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

• मध्यमकौशल स्तर
• 4.8+
• 344

Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.

• बुनियादीकौशल स्तर
• 4.8+
• 343

Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.

• मध्यमकौशल स्तर
• 4.8+
• 342

Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

• मध्यमकौशल स्तर
• 4.8+
• 341

Leverage the power of Python and PuLP to optimize supply chains.

• बुनियादीकौशल स्तर
• 4.7+
• 340

Learn how to produce interactive web maps with ease using leaflet.

• बुनियादीकौशल स्तर
• 4.9+
• 339

Enhance virtual meetings with Gemini in Google Meet. Leverage AI-driven summaries, notes, and tools to make every meeting more efficient and actionable.

• मध्यमकौशल स्तर
• 4.8+
• 336

Learn how to develop deep learning models with Keras.

• मध्यमकौशल स्तर
• 4.9+
• 334

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

• मध्यमकौशल स्तर
• 4.8+
• 333

This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

• मध्यमकौशल स्तर
• 4.8+
• 332

Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.

• बुनियादीकौशल स्तर
• 4.8+
• 331

Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.

• बुनियादीकौशल स्तर
• 4.8+
• 331

Interact with a customized GPT and use your prompting skills to plan and open your restaurant.

• उन्नतकौशल स्तर
• 4.8+
• 331

Learn to build pipelines that stand the test of time.

• मध्यमकौशल स्तर
• 4.8+
• 327

Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!

• उन्नतकौशल स्तर
• 4.8+
• 326

Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.

• उन्नतकौशल स्तर
• 4.8+
• 326

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

• उन्नतकौशल स्तर
• 4.8+
• 322

Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.

• मध्यमकौशल स्तर
• 4.9+
• 321

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

• उन्नतकौशल स्तर
• 4.7+
• 314

Build AI agentic workflows that can plan, search, remember, and collaborate, using LlamaIndex.

• मध्यमकौशल स्तर
• 4.7+
• 314

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

• उन्नतकौशल स्तर
• 4.9+
• 312

In this course youll learn techniques for performing statistical inference on numerical data.

• बुनियादीकौशल स्तर
• 4.8+
• 311

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

• मध्यमकौशल स्तर
• 4.8+
• 311

Learn how containers work in Azure, including registries, ACI, AKS basics, scaling, monitoring, and troubleshooting.

• उन्नतकौशल स्तर
• 4.8+
• 308

Learn how to write recursive queries and query hierarchical data structures.

• बुनियादीकौशल स्तर
• 4.9+
• 307

Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.

• बुनियादीकौशल स्तर
• 4.8+
• 307

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

• मध्यमकौशल स्तर
• 4.9+
• 305

Learn how to segment customers in Python.

• मध्यमकौशल स्तर
• 4.8+
• 302

Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.