Data, AI, and Cloud Courses

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

In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

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

Learn how to detect fraud using Python.

Interact with a customized GPT and use your prompting skills to plan and open your restaurant.

Learn the core techniques necessary to extract meaningful insights from time series data.

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

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

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

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

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

Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

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

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

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

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

Analyze text data in R using the tidy framework.

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

Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

Learn the essentials of parsing, manipulating and computing with dates and times in R.

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

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

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

Learn to manipulate and analyze flexibly structured data with MongoDB.

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

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

Discover how to use the income statement and balance sheet in Power BI