Coursera

Introduction

Our Mission

Coursera is an education platform that partners with top universities and organizations worldwide, to offer courses online for anyone to take, for free. Coursera envisions a future where everyone has access to a world-class education. Coursera aims to empower people with education that will improve their lives, the lives of their families, and the communities they live in.

How It Works

Discover a course and sign up today Choose from 400+ courses created by the world’s top educational institutions. Learn on your own schedule Watch short video lectures, take interactive quizzes, complete peer graded assessments, and connect with classmates and teachers. Achieve your goals Finish your class and receive recognition for your accomplishment.

Our Approach

The Coursera experience It’s simple. Coursera wants to help students learn better — and faster. That’s why Coursera has designed a platform based on proven teaching methods verified by top researchers. Here are 4 key ideas that were influential in shaping our vision: Effectiveness of online learning Online learning plays a significant role in a lifelong education. In fact, a recent report by the U.S. Department of Education found that “classes with online learning (whether taught completely online or blended) on average produce stronger student learning outcomes than do classes with solely face-to-face instruction.” Mastery learning Based on an approach developed by educational psychologist Benjamin Bloom, Mastery Learning helps students fully understand a topic before moving onto a more advanced topic. Coursera typically gives immediate feedback on a concept a student did not understand. In many cases, Coursera provides randomized versions of the assignment so a student can re-study and re-attempt the homework. Peer assessments In many courses, the most meaningful assignments cannot be easily graded by a computer. That’s why Coursera uses peer assessments, where students can evaluate and provide feedback on each other’s work. This technique has been shown in many studies to result in accurate feedback for the student and a valuable learning experience for the grader. Blended learning Many of our partner institutions are using our online platform to provide their on-campus students with an improved learning experience. This blended model of learning has shown in studies to increase student engagement, attendance, and performance.

Keystone Academic Solutions is an official affiliate partner of Coursera.

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Programs

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Courses

Course in Machine Learning

Online Part time 8 months Open Enrollment USA USA Online

This Specialization provides a case-based introduction to the exciting, high-demand field of machine learning. You’ll learn to analyze large and complex datasets, build applications that can make predictions from data, and create systems that adapt and improve over time. [+]

This Specialization provides a case-based introduction to the exciting, high-demand field of machine learning. You’ll learn to analyze large and complex datasets, build applications that can make predictions from data, and create systems that adapt and improve over time. In the final Capstone Project, you’ll apply your skills to solve an original, real-world problem through implementation of machine learning algorithms.

Courses

Machine Learning Foundations: A Case Study ApproachDo you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images. Through hands-on practice with these use cases, you will be able to apply machine learning methods in a wide range of domains. This first course treats the machine learning method as a black box. Using this abstraction, you will focus on understanding tasks of interest, matching these tasks to machine learning tools, and assessing the quality of the output. In subsequent courses, you will delve into the components of this black box by examining models and algorithms. Together, these pieces... [-]


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