Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.5+
• 370

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

• IntermediateSkill Level
• 4.1+
• 363

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

• IntermediateSkill Level
• 4.5+
• 362

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

• IntermediateSkill Level
• 4.7+
• 352

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

• IntermediateSkill Level
• 4.5+
• 348

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

• AdvancedSkill Level
• 4.6+
• 333

This course covers everything you need to know to build a basic machine learning monitoring system in Python

• AdvancedSkill Level
• 4.4+
• 328

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

• IntermediateSkill Level
• 4.6+
• 323

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

• IntermediateSkill Level
• 4.5+
• 320

Learn how to identify, analyze, remove and impute missing data in Python.

• IntermediateSkill Level
• 4.5+
• 319

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

• AdvancedSkill Level
• 4.5+
• 314

Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

• IntermediateSkill Level
• 4.6+
• 306

Learn how to develop deep learning models with Keras.

• IntermediateSkill Level
• 4.8+
• 305

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

• AdvancedSkill Level
• 4.4+
• 304

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

• IntermediateSkill Level
• 4.6+
• 296

Learn how to segment customers in Python.

• IntermediateSkill Level
• 4.3+
• 284

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

• IntermediateSkill Level
• 4.6+
• 278

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

• BasicSkill Level
• 4.5+
• 271

Learn how to prepare and organize your data for predictive analytics.

• IntermediateSkill Level
• 4.5+
• 269

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

• IntermediateSkill Level
• 4.5+
• 258

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

• IntermediateSkill Level
• 4.5+
• 248

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

• IntermediateSkill Level
• 4.7+
• 247

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

• AdvancedSkill Level
• 4.6+
• 246

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

• IntermediateSkill Level
• 4.4+
• 242

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

• BasicSkill Level
• 4.7+
• 240

Use your knowledge of common spreadsheet functions and techniques to explore Python!

• IntermediateSkill Level
• 4.7+
• 226

This course is for R users who want to get up to speed with Python!

• IntermediateSkill Level
• 4.6+
• 226

Learn efficient techniques in pandas to optimize your Python code.

• AdvancedSkill Level
• 4.6+
• 225

Learn how to load, transform, and transcribe speech from raw audio files in Python.

• AdvancedSkill Level
• 4.7+
• 215

Use survival analysis to work with time-to-event data and predict survival time.

• AdvancedSkill Level
• 4.7+
• 213

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