Create an emissions calculator tailored for data centers. Learn to design a tool that tracks energy consumption, carbon footprint, and optimization strategies for reducing environmental impacts in cloud computing and IT infrastructure.

This course covers the theoretical and practical aspects of building ensemble learning solutions in scikit-learn; from random forests built using bagging and pasting to adaptive and gradient boosting and model stacking and hyperparameter tuning.

Excel is a Microsoft application that has been in use since 1985. You might be surprised that in addition to simple spreadsheets, Excel can enable modern analytics and business intelligence. In this Learning Path, you will learn how to modernize and empower data conversations within your organization using Excel & Power BI together with MS Teams, and SharePoint. You'll gain awareness of the business intelligence landscape, technology capabilities, and their roles.

We explore the multiple dimensions of data literacy. Beyond the capability to read and interpret data, it is also about critical skills, fact-checking, sourcing data, understanding bias, visualization and more.

Explore how ChatGPT can empower solopreneurs in the enterprise landscape, focusing on tools and strategies for business success.

In this course, learn how to encode data for a data set based on customer retail purchases. From cleaning and preparing data, to finding simple and powerful frequency analysis, you will make an impact quickly in businesses and organizations. Throughout the course you will use R, one of the best and most popular statistical computing languages. Some experience with R and RStudio will help.

Machine learning operations (MLOps) applies DevOps principles to machine learning projects. In this learning path, you'll learn how to implement key concepts like source control, automation, and CI/CD to build an end-to-end MLOps solution.

Enforce model security in Power BI using row-level security and object-level security.

This course will teach you the skills required to enrich your Power BI reports, ensuring that they allow data to tell its own story. The content of this course prepares you to take the PL-300 Analyzing Data with Microsoft Power BI exam.

This course will go through several features in Power BI that will give your report ability to easily answer questions about your dataset.

Explore bagging, boosting, stacking, and more in this introduction to ensemble methods in machine learning.

Power BI reports often depend on local data sources. This course will teach how to you use on-premises data gateways to connect the two.