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List of MOOCs offered by the Best Universities and Entities

 

Upcoming courses (for the next 30 days)

May 2nd 2016

Welcome to Course One of Photography Basics and Beyond: From Smartphone to DSLR! In these first 4 Modules you will gain the knowledge and the confidence that will help you make good choices as you consider qualities of the camera you own, and the qualities of the other types of digital cameras you might be considering. You will learn about the basic functions that most digital cameras have in common. You will also go beyond the "technical" matters and learn about how you can make exciting pictures by emphasizing the aspects of Frame and Vantage Point to interpret old subjects in new ways. Discovering accessories that photographers find useful, and the types of camera bags from mini to carry-on sized, is also in store for you. You will also make your first photographs and, if you are a subscriber to the specialization, upload pictures to the web gallery and start interacting with your fellow learners in our "Gallery." Let's get started with Module One!

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May 2nd 2016

In business, data and algorithms create economic value when they reduce uncertainty about financially important outcomes. This course teaches the concepts and mathematical methods behind the most powerful and universal metrics used by Data Scientists to evaluate the uncertainty-reduction – or information gain - predictive models provide. We focus on the two most common types of predictive model - binary classification and linear regression - and you will learn metrics to quantify for yourself the exact reduction in uncertainty each can offer. These metrics are applicable to any form of model that uses new information to improve predictions cast in the form of a known probability distribution – the standard way of representing forecasts in data science.

Average: 10 (1 vote)
May 2nd 2016

How does a good idea become a viable business opportunity? What is entrepreneurship and who fits the profile of an entrepreneur? This introductory course is designed to introduce you to the foundational concepts of entrepreneurship, including the definition of entrepreneurship, the profile of the entrepreneur, the difference between entrepreneurship and entrepreneurial management, and the role of venture creation in society. You’ll explore where technology entrepreneurship and impact entrepreneurship align and where they diverge, and you’ll learn proven techniques for identifying the opportunity, assessing the opportunity, hypothesis testing and creating a prototype.

Average: 3 (1 vote)
May 2nd 2016

This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors of your outcome and be able to identify confounding variables, which can tell a more compelling story about your results. You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your regression model. Throughout the course, you will share with others the regression models you have developed and the stories they tell you.

Average: 6 (3 votes)
May 2nd 2016

In this course, you will use computers to creatively design web pages using HTML and CSS. You will then use Javascript to develop programs and algorithms--ways to get the computer to solve problems. As you progress, you will master the programming process that will be used through the remainder of the courses in this Specialization.

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May 2nd 2016

Building upon Duke’s “Programming and the Web for Beginners” course, you will grow in your ability to be a problem-solver and programmer by writing Java programs. We are excited that you've chosen to learn Java with us! You will soon be able to solve problems that you find interesting and useful by practicing a design process you will learn in this course.

Average: 10 (1 vote)
May 2nd 2016

This course will build on the skills you learn in Java Programming: Solving Problems with Software. You will continue to expand your programming skill set to read and manipulate data with more complex structure. You will also write programs with more complex structure. By the end of this course, you will be able to:

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May 2nd 2016

Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.

Average: 9 (2 votes)
May 2nd 2016

Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and followed exactly. The conclusions were clear and actionable decisions were obvious. Has that every happened to you? Of course not. Data analysis in real life is messy. How does one manage a team facing real data analyses? In this one-week course, we contrast the ideal with what happens in real life. By contrasting the ideal, you will learn key concepts that will help you manage real life analyses.

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May 2nd 2016

This course is RESTRICTED TO LEARNERS ENROLLED IN Strategic Business Analytics SPECIALIZATION as a preparation to the capstone project. During the first two MOOCs, we focused on specific techniques for specific applications. Instead, with this third MOOC, we provide you with different examples to open your mind to different applications from different industries and sectors. The objective is to give you an helicopter overview on what's happening in this field. You will see how the tools presented in the two previous courses of the Specialization are used in real life projects.

Average: 8 (1 vote)

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