डेटा, AI, और क्लाउड पाठ्यक्रम

• मध्यमकौशल स्तर
• 4.8+
• 299

This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.

• मध्यमकौशल स्तर
• 4.9+
• 291

Build end-to-end data pipelines - from cleaning and aggregation to streaming and orchestration.

• मध्यमकौशल स्तर
• 4.9+
• 290

Learn how to use Python to analyze customer churn and build a model to predict it.

• मध्यमकौशल स्तर
• 4.8+
• 290

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

• मध्यमकौशल स्तर
• 4.8+
• 289

Develop the skills you need to clean raw data and transform it into accurate insights.

• मध्यमकौशल स्तर
• 4.8+
• 284

Learn survey design using common design structures followed by visualizing and analyzing survey results.

• मध्यमकौशल स्तर
• 4.9+
• 283

Master Amazon Redshifts SQL, data management, optimization, and security.

• मध्यमकौशल स्तर
• 4.8+
• 282

Learn to streamline your machine learning workflows with tidymodels.

• मध्यमकौशल स्तर
• 4.8+
• 276

Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.

• मध्यमकौशल स्तर
• 4.8+
• 272

Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.

• मध्यमकौशल स्तर
• 4.8+
• 259

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

• मध्यमकौशल स्तर
• 4.8+
• 257

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

• मध्यमकौशल स्तर
• 4.8+
• 254

Learn to create, secure, and manage APIs with Azure API Management through hands-on practice.

• मध्यमकौशल स्तर
• 4.8+
• 254

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

• मध्यमकौशल स्तर
• 4.8+
• 252

Build smart, interactive, and reliable AI applications easier than ever before with the OpenAI Responses API and GPT-5.

• मध्यमकौशल स्तर
• 4.8+
• 245

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

• मध्यमकौशल स्तर
• 4.7+
• 244

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

• मध्यमकौशल स्तर
• 4.9+
• 240

This course will show you how to combine and merge datasets with data.table.

• मध्यमकौशल स्तर
• 4.8+
• 240

Learn how to store, secure, scale, and process data in Azure using Blob Storage, Cosmos DB, queues, and event-driven services.

• मध्यमकौशल स्तर
• 4.8+
• 239

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

• मध्यमकौशल स्तर
• 4.9+
• 238

Learn to solve increasingly complex problems using simulations to generate and analyze data.

• मध्यमकौशल स्तर
• 4.7+
• 234

Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

• मध्यमकौशल स्तर
• 4.8+
• 232

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

• मध्यमकौशल स्तर
• 4.8+
• 229

Learn efficient techniques in pandas to optimize your Python code.

• मध्यमकौशल स्तर
• 4.7+
• 225

This course helps your preparation for the Associate Cloud Engineer exam, learn about the Google Cloud domains in the exam and create a study plan.

• मध्यमकौशल स्तर
• 4.8+
• 223

Streamline your AI projects by building modular models and mastering advanced optimization with PyTorch Lightning!

• मध्यमकौशल स्तर
• 4.8+
• 222

Learn to build recommendation engines in Python using machine learning techniques.

• मध्यमकौशल स्तर
• 4.8+
• 220

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

• मध्यमकौशल स्तर
• 4.8+
• 219

Learn the bag of words technique for text mining with R.

• मध्यमकौशल स्तर
• 4.8+
• 218

Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.