Data, AI, and Cloud Courses

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

Learn key financial concepts such as capital investment, WACC, and shareholder value.

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

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

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

Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.

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

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

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

In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

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

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

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

Learn to build pipelines that stand the test of time.

In this course you will learn to fit hierarchical models with random effects.

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

Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.

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

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

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

Streamline your AI projects by building modular models and mastering advanced optimization with PyTorch Lightning!

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

In this course youll learn about basic experimental design, a crucial part of any data analysis.

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

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

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

Learn how to develop deep learning models with Keras.

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