Data, AI, and Cloud Courses

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

In this course youll learn how to perform inference using linear models.

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

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

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

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

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

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

Use your knowledge of common spreadsheet functions and techniques to explore Python!

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

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

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

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

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

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

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

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

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

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

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

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.

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

Learn how to write recursive queries and query hierarchical data structures.

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

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

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

Discover how to talk to your data using text-to-query AI agents with MongoDB and LangGraph.

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

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

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