Data, AI, and Cloud Courses

Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.

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

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

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

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

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

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

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.

Learn how to detect fraud using Python.

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

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

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

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

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

Learn survey design using common design structures followed by visualizing and analyzing survey results.

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

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

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

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

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

Learn to manipulate and analyze flexibly structured data with MongoDB.

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

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.

Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.

Learn how to structure your PostgreSQL queries to run in a fraction of the time.

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