Showing 1–12 of 73 results
Advanced Google Analytics walks you through how data gets collected and processed into readable reports. You'll learn how to use configurations like Custom Dimensions, Custom Metrics, and Event Tracking to collect data that's specific to your business.
Google Intermediate 6 hours
This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations.
Princeton University Intermediate 53 hours, Self-paced
In the Android Developer Fundamentals course, you learn basic Android programming concepts and build a variety of apps, using the Java programming language. The Android Developer Fundamentals course prepares you to take the exam for the Associate Android Developer certification.
Google Intermediate Self-paced
Learn cloud concepts such as High Availability, Scalability, Elasticity, Agility, Fault Tolerance, and Disaster Recovery. Understand the benefits of cloud computing in Azure and how it can save you time and money. Compare and contrast basic strategies for transitioning to the Azure cloud. Explore the breadth of services available in Azure including compute, network, storage, and security
Microsoft Beginner, Intermediate 10 hours
This course will examine how Buddhism is faring under this scrutiny. Are neuroscientists starting to understand how meditation “works”? Would such an understanding validate meditation—or might physical explanations of meditation undermine the spiritual significance attributed to it? And how are some of the basic Buddhist claims about the human mind holding up?
Princeton University Beginner, Intermediate 18 hours, Self-paced
In this course, you will learn how Django communicates with a database through model objects. You will explore Object-Relational Mapping (ORM) for database access and how Django models implement this pattern.
University of Michigan Intermediate 13 hours
In this course, you'll define clustering for ML applications, prepare data for clustering, define similarity for your dataset, compare manual and supervised similarity measures, use the k-means algorithm to cluster data, evaluate the quality of your clustering result.
Google Advanced, Intermediate 4 hours
Contracts are a part of our everyday life, arising in collaboration, trust, promise and credit. How are contracts formed? What makes a contract enforceable? What happens when one party breaks a promise?
Harvard University Intermediate 8 weeks, Self-paced