डेटा, AI, और क्लाउड पाठ्यक्रम

• मध्यमकौशल स्तर
• 4.8+
• 393

Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.

• मध्यमकौशल स्तर
• 4.8+
• 392

Learn the essentials of parsing, manipulating and computing with dates and times in R.

• मध्यमकौशल स्तर
• 4.8+
• 390

Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

• मध्यमकौशल स्तर
• 4.9+
• 387

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

• मध्यमकौशल स्तर
• 4.8+
• 385

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

• मध्यमकौशल स्तर
• 4.8+
• 382

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

• मध्यमकौशल स्तर
• 4.8+
• 380

Learn to design and run your own Monte Carlo simulations using Python!

• मध्यमकौशल स्तर
• 4.8+
• 377

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

• मध्यमकौशल स्तर
• 4.8+
• 365

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

• मध्यमकौशल स्तर
• 4.7+
• 365

Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.

• मध्यमकौशल स्तर
• 4.8+
• 364

Build AI teams that work together, automate workflows, and generate content with CrewAI.

• मध्यमकौशल स्तर
• 4.8+
• 363

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

• मध्यमकौशल स्तर
• 4.8+
• 363

Learn how to design and implement triggers in SQL Server using real-world examples.

• मध्यमकौशल स्तर
• 4.8+
• 361

Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.

• मध्यमकौशल स्तर
• 4.8+
• 356

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

• मध्यमकौशल स्तर
• 4.9+
• 344

In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

• मध्यमकौशल स्तर
• 4.8+
• 344

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

• मध्यमकौशल स्तर
• 4.8+
• 343

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

• मध्यमकौशल स्तर
• 4.8+
• 340

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

• मध्यमकौशल स्तर
• 4.8+
• 340

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

• मध्यमकौशल स्तर
• 4.7+
• 338

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

• मध्यमकौशल स्तर
• 4.8+
• 336

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

• मध्यमकौशल स्तर
• 4.8+
• 334

Learn how to develop deep learning models with Keras.

• मध्यमकौशल स्तर
• 4.9+
• 333

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

• मध्यमकौशल स्तर
• 4.9+
• 329

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

• मध्यमकौशल स्तर
• 4.8+
• 329

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

• मध्यमकौशल स्तर
• 4.8+
• 316

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

• मध्यमकौशल स्तर
• 4.9+
• 311

Learn how to segment customers in Python.

• मध्यमकौशल स्तर
• 4.7+
• 306

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

• मध्यमकौशल स्तर
• 4.8+
• 300

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