Data, AI, and Cloud Courses

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.

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

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.

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.