Data, AI, and Cloud Courses

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

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

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

Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.

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

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

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

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

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

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

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

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

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

Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.

Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.

Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.

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

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

Learn how to work with streaming data using serverless technologies on AWS.

Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.

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

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

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

Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

Learn how to transform and analyze data within your Microsoft Fabric account

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

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

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

Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.