Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.5+
• 386

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

• IntermediateSkill Level
• 4.7+
• 385

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

• IntermediateSkill Level
• 4.7+
• 375

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

• IntermediateSkill Level
• 4.5+
• 359

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

• IntermediateSkill Level
• 4.1+
• 358

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

• IntermediateSkill Level
• 4.4+
• 356

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

• IntermediateSkill Level
• 4.6+
• 354

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

• IntermediateSkill Level
• 4.6+
• 353

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

• AdvancedSkill Level
• 4.3+
• 347

Learn to build pipelines that stand the test of time.

• AdvancedSkill Level
• 4.6+
• 335

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

• IntermediateSkill Level
• 4.7+
• 331

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

• AdvancedSkill Level
• 4.4+
• 327

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

• IntermediateSkill Level
• 4.4+
• 310

Learn how to segment customers in Python.

• AdvancedSkill Level
• 4.6+
• 306

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

• IntermediateSkill Level
• 4.6+
• 285

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

• IntermediateSkill Level
• 4.5+
• 279

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

• IntermediateSkill Level
• 4.7+
• 274

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

• IntermediateSkill Level
• 4.4+
• 274

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

• IntermediateSkill Level
• 4.6+
• 264

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

• IntermediateSkill Level
• 4.6+
• 255

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

• IntermediateSkill Level
• 4.7+
• 251

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

• IntermediateSkill Level
• 4.4+
• 231

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

• AdvancedSkill Level
• 4.7+
• 229

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

• AdvancedSkill Level
• 4.6+
• 228

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

• BasicSkill Level
• 4.6+
• 227

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!

• AdvancedSkill Level
• 4.7+
• 207

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

• IntermediateSkill Level
• 4.3+
• 200

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

• IntermediateSkill Level
• 4.6+
• 199

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

• BasicSkill Level
• 4.5+
• 188

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