Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.6+
• 715

Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.

• BasicSkill Level
• 4.5+
• 715

In this course youll learn to use and present logistic regression models for making predictions.

• IntermediateSkill Level
• 4.5+
• 704

Build the foundation you need to think statistically and to speak the language of your data.

• IntermediateSkill Level
• 4.6+
• 690

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

• IntermediateSkill Level
• 4.6+
• 680

Learn to perform linear and logistic regression with multiple explanatory variables.

• BasicSkill Level
• 4.7+
• 673

Using Python and NumPy, learn the most fundamental financial concepts.

• IntermediateSkill Level
• 4.7+
• 666

This course will show you how to integrate spatial data into your Python Data Science workflow.

• IntermediateSkill Level
• 4.6+
• 663

Learn to manipulate and analyze flexibly structured data with MongoDB.

• AdvancedSkill Level
• 4.5+
• 659

Prepare for your next coding interviews in Python.

• IntermediateSkill Level
• 4.6+
• 619

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

• IntermediateSkill Level
• 4.5+
• 595

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

• IntermediateSkill Level
• 4.4+
• 595

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

• IntermediateSkill Level
• 4.6+
• 561

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

• AdvancedSkill Level
• 4.7+
• 544

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

• AdvancedSkill Level
• 4.7+
• 541

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

• IntermediateSkill Level
• 4.6+
• 541

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

• IntermediateSkill Level
• 4.5+
• 540

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

• IntermediateSkill Level
• 4.6+
• 522

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

• AdvancedSkill Level
• 4.7+
• 511

Learn about ARIMA models in Python and become an expert in time series analysis.

• IntermediateSkill Level
• 4.6+
• 506

Learn how to detect fraud using Python.

• AdvancedSkill Level
• 4.7+
• 478

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

• AdvancedSkill Level
• 4.4+
• 472

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

• IntermediateSkill Level
• 4.5+
• 461

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

• AdvancedSkill Level
• 4.4+
• 442

Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.

• AdvancedSkill Level
• 4.6+
• 433

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

• IntermediateSkill Level
• 4.6+
• 431

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

• AdvancedSkill Level
• 4.3+
• 414

Master Databricks with Python: learn to authenticate, manage clusters, automate jobs, and query AI models programmatically.

• AdvancedSkill Level
• 4.7+
• 412

Learn how to approach and win competitions on Kaggle.

• AdvancedSkill Level
• 4.6+
• 412

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

• IntermediateSkill Level
• 4.5+
• 395

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