डेटा, एआई और क्लाउड पाठ्यक्रम

• मध्यवर्तीकौशल स्तर
• 4.6+
• 502

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

• मध्यवर्तीकौशल स्तर
• 4.5+
• 500

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

• मध्यवर्तीकौशल स्तर
• 4.5+
• 495

Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.

• मध्यवर्तीकौशल स्तर
• 4.4+
• 488

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

• मध्यवर्तीकौशल स्तर
• 4.7+
• 487

Learn to manipulate and analyze flexibly structured data with MongoDB.

• मध्यवर्तीकौशल स्तर
• 4.6+
• 483

Learn how to detect fraud using Python.

• मध्यवर्तीकौशल स्तर
• 4.7+
• 479

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

• मध्यवर्तीकौशल स्तर
• 4.5+
• 478

Explore ways to work with date and time data in SQL Server for time series analysis

• मध्यवर्तीकौशल स्तर
• 4.4+
• 477

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

• मध्यवर्तीकौशल स्तर
• 4.6+
• 473

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

• मध्यवर्तीकौशल स्तर
• 4.7+
• 471

Analyze text data in R using the tidy framework.

• मध्यवर्तीकौशल स्तर
• 4.6+
• 448

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

• मध्यवर्तीकौशल स्तर
• 4.6+
• 447

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

• मध्यवर्तीकौशल स्तर
• 4.5+
• 446

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

• मध्यवर्तीकौशल स्तर
• 4.7+
• 444

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

• मध्यवर्तीकौशल स्तर
• 4.5+
• 439

Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

• मध्यवर्तीकौशल स्तर
• 4.7+
• 422

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

• मध्यवर्तीकौशल स्तर
• 4.6+
• 421

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

• मध्यवर्तीकौशल स्तर
• 4.3+
• 415

Learn how to efficiently collect and download data from any website using R.

• मध्यवर्तीकौशल स्तर
• 4.7+
• 413

Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!

• मध्यवर्तीकौशल स्तर
• 4.5+
• 408

Visualize seasonality, trends and other patterns in your time series data.

• मध्यवर्तीकौशल स्तर
• 4.6+
• 406

Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

• मध्यवर्तीकौशल स्तर
• 4.6+
• 393

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

• मध्यवर्तीकौशल स्तर
• 4.9+
• 390

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

• मध्यवर्तीकौशल स्तर
• 4.5+
• 383

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

• मध्यवर्तीकौशल स्तर
• 4.7+
• 381

Discover how to use the income statement and balance sheet in Power BI

• मध्यवर्तीकौशल स्तर
• 4.4+
• 374

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

• मध्यवर्तीकौशल स्तर
• 4.7+
• 372

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

• मध्यवर्तीकौशल स्तर
• 4.5+
• 372

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

• मध्यवर्तीकौशल स्तर
• 4.6+
• 371

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