anchor.diff:  (2016) Graph Analytics for Big Data,graph-analytics-clone,https://coursera.org/learn/graph-analytics-clone,Data Science,"University of California, San Diego","Want to understand your data network structure and how it changes under different conditions? Curious to know how to identify closely interacting clusters within a graph? Have you heard of the fast-growing area of graph analytics and want to learn more? This course gives you a broad overview of the field of graph analytics so you can learn new ways to model, store, retrieve and analyze graph-structured data."
   (2016) Introduction to Big Data,intro-to-big-data-clone,https://coursera.org/learn/intro-to-big-data-clone,Data Science,"University of California, San Diego","Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world!"
   (2016) Machine Learning With Big Data,machinelearningwithbigdata-clone,https://coursera.org/learn/machinelearningwithbigdata-clone,Data Science,"University of California, San Diego","Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems"
  +A Crash Course in Causality:  Inferring Causal Effects from Observational Data,crash-course-in-causality,https://coursera.org/learn/crash-course-in-causality,Data Science,University of Pennsylvania,"We have all heard the phrase “correlation does not equal causation.”  What, then, does equal causation?  This course aims to answer that question and more!  
  +
  +Over a period of 5 weeks, you will learn how causal effects are defined, what assumptions about your data and models are necessary, and how to implement and interpret some popular statistical methods.  Learners will have the opportunity to apply these methods to example data in R (free statistical software environment).
  +
  +At the end of the course, learners should be able to:
  +1.  Define causal effects using potential outcomes
  +2.  Describe the difference between association and causation
  +3.  Express assumptions with causal graphs
  +4.  Implement several types of causal inference methods (e.g. matching, instrumental variables, inverse probability of treatment weighting)
  +5.  Identify which causal assumptions are necessary for each type of statistical method
  +
  +So join us.... and discover for yourself why modern statistical methods for estimating causal effects are indispensable in so many fields of study!"
   A Crash Course in Data Science,data-science-course,https://coursera.org/learn/data-science-course,Data Science,Johns Hopkins University,"By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient as possible without sacrificing any of the essentials."
   A developer's guide to Exploring and Visualizing IoT Data,exploring-visualizing-iot-data,https://coursera.org/learn/exploring-visualizing-iot-data,Data Science,IBM,"The value of IoT can be found within the analysis of data gathered from the system under observation, where insights gained can have direct impact on business and operational transformation. Through analysis data correlation, patterns, trends, and other insight are discovered. Insight leads to better communication between stakeholders, or actionable insights, which can be used to raise alerts or send commands, back to IoT devices. With a focus on the topic of Exploratory Data Analysis, the course provides an in-depth look at mathematical foundations of basic statistical measures, and how they can be used in conjunction with advanced charting libraries to make use of the world’s best pattern recognition system – the human brain. Learn how to work with the data, and depict it in ways that support visual inspections, and derive to inferences about the data. Identify interesting characteristics, patterns, trends, deviations or inconsistencies, and potential outliers."
   Advanced Linear Models for Data Science 1 : Linear Models,advanced-linear-models-data-science,https://coursera.org/learn/advanced-linear-models-data-science,Data Science,Johns Hopkins University,"University of Maryland, College Park"
  
positive.code: Science of Training Young Athletes Part 2,science-of-training-young-athletes-part-2,https://coursera.org/learn/science-of-training-young-athletes-part-2,Personal Development,University of Florida,In this course you will learn how to design the type of training that takes advantage of the plastic nature of the athlete’s body so you mold the right phenotype for a sport. We explore ways the muscular system can be designed to generate higher force and power and the type of training needed to mold the athlete's physical capacity so it meets the energy and biochemical demands of the sport. We also examine the cost of plasticity when it is carried beyond the ability of the body to adjust itself to meet the imposed training stresses.
  "Sit Less, Get Active",get-active,https://coursera.org/learn/get-active,Personal Development,The University of Edinburgh,Physical inactivity and sedentariness are “silent killers”. Do you feel like you spend too much time sitting? Do you feel like you would like to be more active? Are you unsure about how to incorporate physical activity into your daily life? We are here to help. Join us on a journey to learn about how to sit less and become more active. Use this FREE course to learn how to monitor your own activity and set physical activity goals.
  Speaking to inform:  Discussing complex ideas with clear explanations and dynamic slides,inform-speech,https://coursera.org/learn/inform-speech,Personal Development,University of Washington,"In the professional realm, most speeches and presentations we give are informative in scope. A scientist needs to explain her recent research findings. A financial officer needs to report on quarterly earnings to his company’s board. A technology professional needs to educate a consumer about a new product. Any time you need to convey ideas or demonstrate a process, you’re dealing with informative speaking. Informative speaking is a fun puzzle. You need to think from the perspective of your audience to identify what they need to hear in order to understand the key ideas. How much does the audience already know? What are the most important elements to convey?"
  Strengthening Your Widening Network ,strengthening-your-widening-network,https://coursera.org/learn/strengthening-your-widening-network,Personal Development,National University of Singapore,"In this course, you will learn strategies not only on how to communicate effectively but also how to strengthen your relationships with co-workers and other stakeholders from diverse cultural backgrounds, both inside and beyond the organisation. In particular, ""Strengthening your widening network"" aims to equip you with a workplace discourse that facilitates familiarity with practices in the working environment and to help you appreciate the complexities inherent in the organisational structure and hierarchy."
  Studying at Japanese Universities,study-in-japan,https://coursera.org/learn/study-in-japan,Personal Development,The University of Tokyo,"Are you interested in studying at Japanese universities? Do you want to learn about Japan’s university application and enrollment processes, as well as the types of programs on offer? This course will help you to both discover great programs offered by different Japanese universities and prepare a study plan through project-based learning."
  Success,wharton-succcess,https://coursera.org/learn/wharton-succcess,Personal Development,University of Pennsylvania,"Do you want to be more successful? This course was designed to help you define what success means to you, and to develop a plan for achieving it. Wharton Professor G. Richard Shell, an award-winning author and the creator of the popular Wharton School course on the meaning of success, created this course to help you answer the questions that arise when you consider how best to use your life. Drawing on his decades of research and mentoring, Shell offers personalized assessments to help you probe your past, imagine your future, and measure your strengths. He then combines these with the latest scientific insights on everything from self-confidence and happiness to relationships and careers"
  
negative.code: "Musicianship: Chord Charts, Diatonic Chords, and Minor Keys",musicianship-chords,https://coursera.org/learn/musicianship-chords,Arts and Humanities,Berklee,"After a tremendous response from learners on Coursera, Berklee Online has created a Developing Your Musicianship specialization, and this course is the second course in the series. If you have a basic knowledge of music theory or if you have completed Developing Your Musicianship I, this course will continue to help you understand key musical concepts, enabling you to create and perform contemporary music. Taught by Berklee College of Music professor George W. Russell, Jr., the course includes four lessons that delve into the next level of harmony and ear training."
  "Musicianship: Tensions, Harmonic Function, and Modal Interchange",musicianship-harmony,https://coursera.org/learn/musicianship-harmony,Arts and Humanities,Berklee,"After a tremendous response from learners on Coursera, Berklee Online has created a Developing Your Musicianship specialization, and this course is the third course in the series. If you have a general understanding of music theory or if you have completed Developing Your Musicianship I and II, this course will continue to help you understand musical concepts, enabling you to create and perform contemporary music. Taught by Berklee College of Music professor George W. Russell, Jr., the course includes four lessons that delve into an intermediate level of harmony and ear training."
  "Online Games: Literature, New Media, and Narrative",onlinegames,https://coursera.org/learn/onlinegames,Arts and Humanities,Vanderbilt University,"Intended for both newcomers who are curious about video games and experienced gamers who want to reflect on their passion, this course will explore what happens to stories, paintings, and films when they become the basis of massively multiplayer online games. The Lord of the Rings trilogy—the novels, films, and video game—are our central example of how “remediation” transforms"
  Patrick Henry: Forgotten Founder,henry,https://coursera.org/learn/henry,Arts and Humanities,"University of Virginia, UVA Lifetime Learning, Patrick Henry Memorial Foundation","“Give me liberty, or give me death:” Remembering Patrick Henry, the Forgotten Founder
  
  	Patrick Henry was enormously popular during the American Revolution. Even Thomas Jefferson, who over time developed a deep loathing of Henry (some would say jealousy), had to admit that “it is not now easy to say what we should have done without Patrick Henry.” Edmund Randolph, a patriot leader in his own right, explained that “It was Patrick Henry … awakening the genius of his country, and binding a band of patriots together to hurl defiance at the tyranny of so formidable a nation as Great Britain.” 
  	Yet, today, Patrick Henry is ill-remembered; most Americans might recall at best perhaps a snippet from a famous speech: “give me liberty, or give me death.” The reasons for our historic forgetfulness are several: after the Revolution, Henry chose to oppose ratification of the U.S. Constitution, believing that it created a distant and too-powerful government, and he refused proffered position in George Washington’s administration, diminishing his historic memory. Equally important, Henry died in 1799 shortly after a political campaign in which, at Washington’s behest, he opposed Jefferson’s and James Madison’s ill-advised radical states’ rights attack on the U.S. government, and Jefferson spent the next twenty-six years systematically attacking Henry’s legacy.
  	Patrick Henry, who helped to ignite a revolution, deserves better. This course will explore how he over¬came challenges to reach the pinnacle of Virginia politics and unite Americans behind a challenge to Britain – the eighteenth century’s super-power, why he opposed the U.S. Constitu¬tion, and why he then came out of retirement to defend the people’s Constitution against the attacks of Jefferson and Madison. 
  	Participants should evaluate Henry’s role in proclaiming a revolution and consider whether he had an equally important role in saving it. The course should also develop an improved appreciation for the complex political, economic, and religious forces that shaped the early republic. As a biographical course, it also demonstrates how personalities play an important role in even the most foundational national history.
  "
  Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences,philosophy-cognitive-sciences,https://coursera.org/learn/philosophy-cognitive-sciences,Arts and Humanities,The University of Edinburgh,"What is our role in the universe as human agents capable of knowledge? What makes us intelligent cognitive agents seemingly endowed with consciousness? This is the second part of the course 'Philosophy and the Sciences', dedicated to Philosophy of the Cognitive Sciences. Scientific research across the cognitive sciences has raised pressing questions for philosophers. The goal of this course is to introduce you to some of the main areas and topics at the key juncture between philosophy and the cognitive sciences."
  Philosophy and the Sciences: Introduction to the Philosophy of Physical Sciences,philosophy-physical-sciences,https://coursera.org/learn/philosophy-physical-sciences,Arts and Humanities,The University of Edinburgh,"This is the first part of the course 'Philosophy and the Sciences', dedicated to Philosophy of the Physical Sciences. Scientific research across the physical sciences has raised pressing questions for philosophers. The goal of this course is to introduce you to some of the main areas and topics at the key juncture between philosophy and the physical sciences. Each week we will introduce you to some of these important questions at the forefront of scientific research."
  "Philosophy, Science and Religion: Science and Philosophy",philosophy-science-religion-1,https://coursera.org/learn/philosophy-science-religion-1,Arts and Humanities,The University of Edinburgh,"Philosophy, Science and Religion mark three of the most fundamental modes of thinking about the world and our place in it. Are these modes incompatible? Put another way: is the intellectually responsible thing to do to ‘pick sides’ and identify with one of these approaches at the exclusion of others? Or, are they complementary or mutually supportive? As is typical of questions of such magnitude, the devil is in the details. For example, it is important to work out what is really distinctive about each of these ways of inquiring about the world. In order to gain some clarity here, we’ll be investigating what some of the current leading thinkers in philosophy, science and religion are actually doing."
  