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E.g., 2016-04-30
E.g., 2016-04-30
E.g., 2016-04-30
May 2nd 2016

A report from the National Association of Colleges and Employers shows that employers want job candidates with strong communication skills. Similarly, educational success also requires the ability to articulate your thoughts clearly. In this class, we will study the principles of public speaking; critically examine our own and others’ speeches through interactive practice.

Average: 8.3 (3 votes)
May 2nd 2016

Case Studies: Analyzing Sentiment & Loan Default Prediction
In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,...). In our second case study for this course, loan default prediction, you will tackle financial data, and predict when a loan is likely to be risky or safe for the bank.

Average: 10 (1 vote)
May 2nd 2016

Case Study - Predicting Housing Prices
In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...). This is just one of the many places where regression can be applied. Other applications range from predicting health outcomes in medicine, stock prices in finance, and power usage in high-performance computing, to analyzing which regulators are important for gene expression.In this course, you will explore regularized linear regression models for the task of prediction and feature selection. You will be able to handle very large sets of features and select between models of various complexity. You will also analyze the impact of aspects of your data -- such as outliers -- on your selected models and predictions. To fit these models, you will implement optimization algorithms that scale to large datasets.

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May 2nd 2016

This course will teach you vocabulary and skills related to participating in meetings. You will learn terms and phrases used both in email and in speaking to arrange, participate in, and conclude meetings. The goals of this course are to enable you to participate effectively in on-site meetings and teleconferences and to prepare you to write a proposal as an outcome of a meeting.

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Apr 25th 2016

Do 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.

Average: 3.5 (4 votes)
Apr 25th 2016

Making predictions is not enough! Effective data scientists know how to explain and interpret their results, and communicate findings accurately to stakeholders to inform business decisions. Visualization is the field of research in computer science that studies effective communication of quantitative results by linking perception, cognition, and algorithms to exploit the enormous bandwidth of the human visual cortex. In this course you will learn to recognize, design, and use effective visualizations.

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Apr 25th 2016

Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively. The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales.

Average: 10 (1 vote)
Apr 25th 2016

Statistical experiment design and analytics are at the heart of data science. In this course you will design statistical experiments and analyze the results using modern methods. You will also explore the common pitfalls in interpreting statistical arguments, especially those associated with big data. Collectively, this course will help you internalize a core set of practical and effective machine learning methods and concepts, and apply them to solve some real world problems.

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Apr 25th 2016

This course begins with a welcome message and an overview of the Specialization. After this introduction, you will be asked to take a proficiency test to see if this course is right for you. During the course, you will begin learning vocabulary and customs related to socializing and networking in English. The goal is to enable you to interact with business contacts in person, on the phone and over email in a professional way.

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Nov 16th 2015

Investigate the flexibility and power of project-oriented computational analysis, and enhance communication of information by creating visual representations of scientific data.

Average: 1 (1 vote)
Oct 12th 2015

Survival rates from out-of-hospital cardiac arrest in many communities remain stubbornly low. One of the main barriers to improvement is lack of knowledge among EMS leaders about how to change the system of care. The Resuscitation Academy has demonstrated that its mix of didactic information and peer discussion groups leads to improved patient outcomes.

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Jul 7th 2015

This course offers an evidence-based analysis of globalization that addresses what is happening to us personally as well as economically amidst the market-led processes of global integration.

Average: 8 (1 vote)
Jun 30th 2015

This course introduces the complex, but critical, concepts of sustainability and resilience and examines your impact on our environment.

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Jun 8th 2015

Analyze globalization using evidence-based methods to address current issues that affect us personally and economically amidst worldwide market-led forces.

Average: 7 (1 vote)
Jun 2nd 2015

This course gives you the permission to take care of yourself by learning the skills to manage stress and optimize wellbeing.

Average: 6 (1 vote)
Jun 1st 2015

Mathematical Methods for Quantitative Finance covers topics from calculus and linear algebra that are fundamental for the study of mathematical finance. Students successfully completing this course will be mathematically well prepared to study quantitative finance at the graduate level.

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Jun 1st 2015

Learn mathematical and statistical tools and techniques used in quantitative and computational finance. Use the open source R statistical programming language to analyze financial data, estimate statistical models, and construct optimized portfolios. Analyze real world data and solve real world problems.

Average: 9 (1 vote)
May 18th 2015

Today's fast moving information security field creates demand for industry professionals with up-to-the minute knowledge of the latest technologies, threats and remediation strategies to keep systems secure. The need has never been greater, with customer data, employee personal information, personal health information and digitized intellectual property under constant risk of cyberattack and exfiltration.

Average: 8 (1 vote)
May 1st 2015

Understanding how the brain works is one of the fundamental challenges in science today. This course will introduce you to basic computational techniques for analyzing, modeling, and understanding the behavior of cells and circuits in the brain. You do not need to have any prior background in neuroscience to take this course.

Average: 10 (1 vote)
Mar 31st 2015

Learn the evidence-based models to promote social-emotional development for young children.

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