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This course gives to its students both insight into the fundamentals of image formation and analysis, as well as the ability to extract information much above the pixel level....

This course will teach its students how to start from scratch in answering questions about the real world using data. The model building process involves setting up ways of...

After this course, students should be able to apply Swift essentials to building iOS apps and employ Swift’s more unique elements, like optional types and switch statements,...

This course teaches students to build a game that keeps their players interested and engaged, and to present their game in ways that allow it to stand out in the app store.

In this course, students will learn the process of building an iOS app, from brainstorming ideas to publishing on the App Store.

In this course, students will use Native JavaScript Promises to write asynchronous code that is easy to read, easy to write and easy to debug.

This online course gives a first introduction to Data Science.  It includes an overview of the following topics:Data ManipulationData Analysis with Statistics and Machine...

This comprehensive course series teaches concepts of machine learning. Machine learning engineers build programs that dynamically perform the analyses that data scientists used...

This course teaches the principles and concepts involved in the analysis and design of large software systems.

This online course teaches how Apple's GCD (long form: Grand Central Dispatch) framework allows you to create asynchronous apps for iOS, ensuring a smooth user experience.

This course blends instruction with real life examples to help its participants effectively develop, implement, and measure their monetization strategy, iterating on their product.

This course series will teach the development of iOS apps.

Through this course, students will learn how to incorporate networking into their apps, so they can access data from around the world. They will learn how to harness the power...

In this course, students will learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.

The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing.Through this course, students will learn the fundamental principles...

This online course gives an introduction to inferential statistics. It teaches the basic concepts used to draw conclusions from data that might not be immediately obvious. The...

Through a combination of classic papers and more recent work, students will explore automated decision-making from a computer-science perspective. They will examine efficient...

In this course, students will learn standard methodologies for debugging software—especially for iOS applications. Additionally, they will understand how to use Xcode’s...

After this course students will have a solid understanding about systematic debugging, will know how to automate debugging and will have built several functional debugging tools...

This course focuses on exploring data to make students understand the data’s underlying structure and variables, to develop intuition about the data set, to consider how that...