Courses tagged with "EdX" (295)

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Starts : 2017-03-29 in 0 days
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edX Free English Economics & Finance EdX IMFx

In the first part of the course, economists from the IMF will introduce the definition and measurement of subsidies, and then describe the economic, social, and environmental implications of subsidies. The second part of the course has two principal purposes: first, to review what works best in energy subsidy reform, in light of country experiences globally; and second, to illustrate successes and failures in particular country contexts by summarizing some case studies.

Whether you are a civil servant working on economic issues for your country or simply interested in better understanding issues related to energy subsidies, this course will provide hands-on training on the design of successful reforms of energy subsidies.

You are welcome to join us in this exciting course!

Energy Subsidy Reform is offered by the IMF with financial support from the Government of Belgium.

Starts : 2017-03-29 in 0 days
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edX Free English EdX Engineering MITx

In this engineering course, we will explore cellular solids in medicine, including trabecular bone mechanics, the increased risk of bone fracture due to trabecular bone loss in patients with osteoporosis, the development of metal foam coatings for orthopedic implants, applying foam models to tissue engineering scaffolds and the design of a porous scaffold for tissue engineering that mimics the body's own extracellular matrix. 

This course should be taken with 3.054.1x: Cellular Solids Part 1.

Starts : 2017-03-30 in 1 days
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edX Free English EdX Electronics Engineering IITBombayX

We encounter signals and systems extensively in our day-to-day lives, from making a phone call, listening to a song, editing photos, manipulating audio files, using speech recognition softwares like Siri and Google now, to taking EEGs, ECGs and X-Ray images. Each of these involves gathering, storing, transmitting and processing information from the physical world. This course will equip you to deal with these tasks efficiently by learning the basic mathematical framework of signals and systems.

This course is divided into two parts. In the first part (EE210.1x), we explored the various properties of signals and systems, characterization of Linear Shift Invariant Systems, convolution and Fourier Transform. Building on that, in this part (EE210.2x) we will deal with the Sampling theorem, Z-Transform, discrete Fourier transform and Laplace transform. The contents of the first part are prerequisites for doing this part. Ideas introduced in this course will be useful in understanding further electrical engineering courses which deal with control systems, communication systems, power systems, digital signal processing, statistical signal analysis and digital message transmission. The concepts taught in this course are also useful to students of other disciplines like mechanical, chemical, aerospace and other branches of engineering and science.

Starts : 2017-03-30 in 1 days
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edX Free English Chemistry EdX Engineering KyotoUx Physics

The motion of falling leaves or small particles diffusing in a fluid is highly stochastic in nature. Therefore, such motions must be modeled as stochastic processes, for which exact predictions are no longer possible. This is in stark contrast to the deterministic motion of planets and stars, which can be perfectly predicted using celestial mechanics.

This course is an introduction to stochastic processes through numerical simulations, with a focus on the proper data analysis needed to interpret the results. We will use the Jupyter (iPython) notebook as our programming environment. It is freely available for Windows, Mac, and Linux through the Anaconda Python Distribution.

The students will first learn the basic theories of stochastic processes. Then, they will use these theories to develop their own python codes to perform numerical simulations of small particles diffusing in a fluid. Finally, they will analyze the simulation data according to the theories presented at the beginning of course.

At the end of the course, we will analyze the dynamical data of more complicated systems, such as financial markets or meteorological data, using the basic theory of stochastic processes.

Starts : 2017-03-31 in 2 days
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edX Free English EdX Engineering Environmental Studies Social Sciences UTokyoX

Sustainability is indispensable for the future of humankind. Sustainability science has emerged as an effort to tackle the complex problems the world is facing today. Lecturers from different disciplines provide a holistic overview of key issues in sustainability including industrial pollution, an aging society, human-nature connection, urban planning, resilience, environmental governance, and education for sustainable development. 

In this course, you will learn about historical and current sustainability issues that have emerged around the world, as well as some of the approaches that have been used to solve them. You will be exposed to industrial and water pollution control issues, in addition to challenges caused by an aging and shrinking population.

You will also learn about the human-nature connection and initiatives that aim to create sustainable societies in harmony with nature, based on the concept of Socio-Ecological Production Landscapes and Seascapes (SEPLS). You will explore how ecosystem-based disaster risk reduction (Eco-DRR) approaches can be used to reestablish the human-nature connection through re-naturalization of damaged environments.

This course will also consider an urban planning point of view by exploring the value of an urban-rural land use mixture to create new sustainable societies and resilient megacities.

Finally, you will learn about environmental governance, a crucial element for progress towards a sustainable future. You will be introduced to Education for Sustainable Development (ESD) as a learning method for sustainable development and discuss international debates on ESD.

Japanese perspectives are emphasized throughout the course in the hopes of providing concrete value to solving contemporary sustainability issues.

Starts : 2017-03-31 in 2 days
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edX Free English EdX History MichiganX Social Sciences

This event is part of Michigan’s Teach-Out Series which provides just-in-time community learning opportunities for participants around the world to come together in conversation with the U-M campus community, including faculty experts.

How does history help us understand today’s political climate?

Political systems in many countries around the world have shifted from more democratic to more authoritarian tendencies. A deeper understanding and knowledge of this past can inform how we understand contemporary political changes.

This Teach-Out will bring together expert knowledge about democracies and the processes that erode democratic decision-making and structures. By examining historical and comparative patterns, learners will gain a better understanding of contemporary politics.​

Starts : 2017-04-01 in 3 days
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edX Free Life Sciences English Biology & Life Sciences Chemistry EdX KyotoUx Science

Chemistry and biology are traditionally taught as separate subjects at the high school level, where students memorize fundamental scientific principles that are universally accepted. However, at the university level and in industry, we learn that science is not as simple as we once thought. We are constantly confronted by questions about the unknown and required to use creative, integrated approaches to solve these problems. By bringing together knowledge from multidisciplinary fields, we are empowered with the ability to generate new ideas. The goal of this course is to develop skills for generating new ideas at the interface between chemistry and biology by analyzing pioneering studies.

When should I register?
Registration will be open throughout the course.

Starts : 2017-04-01 in 3 days
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edX Free English Computer Science Data Analysis & Statistics EdX Microsoft

This course is part of the Microsoft Professional Program Certificate in Data Science.

Transact-SQL is an essential skill for data professionals and developers working with SQL databases. With this combination of expert instruction, demonstrations, and practical labs, step from your first SELECT statement through to implementing transactional programmatic logic.

Work through multiple modules, each of which explore a key area of the Transact-SQL language, with a focus on querying and modifying data in Microsoft SQL Server or Azure SQL Database. The labs in this course use a sample database that can be deployed easily in Azure SQL Database, so you get hands-on experience with Transact-SQL without installing or configuring a database server.

Starts : 2017-04-01 in 3 days
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edX Free English Computer Science Data Analysis & Statistics EdX Microsoft

This course is part of the Microsoft Professional Program Certificate in Data Science.

R is rapidly becoming the leading language in data science and statistics. Today, R is the tool of choice for data science professionals in every industry and field. Whether you are full-time number cruncher, or just the occasional data analyst, R will suit your needs.

This introduction to R programming course will help you master the basics of R. In seven sections, you will cover its basic syntax, making you ready to undertake your own first data analysis using R. Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations. No prior knowledge in programming or data science is required.

What makes this course unique is that you will continuously practice your newly acquired skills through interactive in-browser coding challenges using the DataCamp platform. Instead of passively watching videos, you will solve real data problems while receiving instant and personalized feedback that guides you to the correct solution.

Enjoy!

Starts : 2017-04-01 in 3 days
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edX Free English Computer Science EdX Microsoft

C++ is a general purpose programming language that supports various computer programming models such as object-oriented programming and generic programming. It was created by Bjarne Stroustrup and, “Its main purpose was to make writing good programs easier and more pleasant for the individual programmer.”*

By learning C++, you can create applications that will run on a wide variety of hardware platforms such as personal computers running Windows, Linux, UNIX, and Mac OS X, as well as small form factor hardware such as IoT devices like the Raspberry PI and Arduino–based boards.

(Bjarne Stroustrup, The C++ Programming Language, Third Edition. Reading, MA: Addison-Wesley, 1997).

Starts : 2017-04-01 in 3 days
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edX Free English Computer Science Data Analysis & Statistics EdX Microsoft

This course is part of the Microsoft Professional Program Certificate in Data Science.

Power BI is quickly gaining popularity among professionals in data science as a cloud-based service that helps them easily visualize and share insights from their organizations’ data.

In this data science course, you will learn from the Power BI product team at Microsoft with a series of short, lecture-based videos, complete with demos, quizzes, and hands-on labs. You’ll walk through Power BI, end to end, starting from how to connect to and import your data, author reports using Power BI Desktop, and publish those reports to the Power BI service. Plus, learn to create dashboards and share with business users—on the web and on mobile devices.

Starts : 2017-04-01 in 3 days
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edX Free English Business & Management EdX Humanities KyotoUx Social Sciences

Customer service is a complex phenomenon where people engage in an extended interaction to co-create value. This course focuses on social and cultural aspects of services.

In this business and management course, you will learn how to analyze customer interactions, using video data taken in actual services. Through discussions of a variety of services such as sushi bars, restaurants, hotels and apparel, you will explore the nuanced and paradoxical nature of customer relations and discuss how to design services from cultural perspective.

This MOOC is sponsored by the Society for Serviceology.

Starts : 2017-04-01 in 3 days
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edX Free English Computer Science Data Analysis & Statistics EdX Microsoft

This course is part of the Microsoft Professional Program Certificate in Data Science.

Python is a very powerful programming language used for many different applications. Over time, the huge community around this open source language has created quite a few tools to efficiently work with Python. In recent years, a number of tools have been built specifically for data science. As a result, analyzing data with Python has never been easier.

In this practical course, you will start from the very beginning, with basic arithmetic and variables, and learn how to handle data structures, such as Python lists, Numpy arrays, and Pandas DataFrames. Along the way, you’ll learn about Python functions and control flow. Plus, you’ll look at the world of data visualizations with Python and create your own stunning visualizations based on real data.

Starts : 2017-04-01 in 3 days
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edX Free English Biology & Life Sciences Data Analysis & Statistics EdX KyotoUx Medicine

This data course is a primer to statistical genetics and covers an approach called linkage disequilibrium mapping, which analyzes non-familial data and has been successfully used to identify genetic variants associated with common and complex genetic traits.

We hope many students find this introductory course interesting and are motivated to study further topics in statistical genetics to understand biological variation from statistical standpoints.

Previous knowledge of molecular genetics and basic statistical concepts, such as statistical tests and estimation, is required. Basic knowledge on genetic variations is offered at the start of the course.

Starts : 2017-04-01 in 3 days
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edX Free English Computer Science EdX Microsoft

The proliferation of consumer devices and ubiquitous information access is driving the enterprise away from a device-centric model centered on corporate-owned and provisioned devices to a bring-your-own-device (BYOD) model in which employees use their own devices to access corporate applications and data. Workers expect consistent access to corporate tools and data regardless of the type of device they’re using. They also want their corporate-issued technology and resources to look and behave like their personal technology—always on and always available from any device, from virtually anywhere.

An enterprise model that supports the use of consumer devices in the workplace and the ability to work from virtually anywhere and anytime must move from a device-focused view of IT management to one that’s people centric. In reality it is not the device that is mobile, it is the users.

It is important that the IT challenges of BYOD, Mobile device management, cloud computing, and hybrid identities be understood before one can understand how Windows 10 helps address those issues.

Starts : 2017-04-01 in 3 days
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edX Free English Computer Science Data Analysis & Statistics EdX Microsoft

This course is part of the Microsoft Professional Program Certificate in Data Science and part of the Microsoft Azure HDInsight Big Data Analyst XSeries.

Are you ready for big data science? In this course, learn how to implement predictive analytics solutions for big data using Apache Spark in Microsoft Azure HDInsight. See how to work with Scala or Python to cleanse and transform data and build machine learning models with Spark ML (the machine learning library in Spark),

Note: To complete the hands-on elements in this course, you will require an Azure subscription and a Windows client computer. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions.

Starts : 2017-04-01 in 3 days
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edX Free English Computer Science Data Analysis & Statistics EdX Microsoft

This course is part of the Microsoft Professional Program Certificate in Data Science.

In this computer science course from Microsoft, developed in collaboration with the Technical University of Denmark (DTU), get the knowledge and skills you need to use R, the statistical programming language for data scientists, in the field of your choice.

In this course you will learn all you need to get up to speed with programming in R. Explore R data structures and syntaxes, see how to read and write data from a local file to a cloud-hosted database, work with data, get summaries, and transform them to fit your needs. Plus, find out how to perform predictive analytics using R and how to create visualizations using the popular ggplot2 package.

Starts : 2017-04-01 in 3 days
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edX Free English Computer Science Data Analysis & Statistics EdX Microsoft

This course is part of the Microsoft Professional Program Certificate in Data Science.

Learn what it takes to become a data scientist.

This is the first stop in the Data Science curriculum from Microsoft. It will help you get started with the program, plan your learning schedule, and connect with fellow students and teaching assistants. Along the way, you’ll get an introduction to working with and exploring data using a variety of visualization, analytical, and statistical techniques.

Starts : 2017-04-01 in 3 days
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edX Free English Computer Science Data Analysis & Statistics EdX Microsoft

This course is part of the Microsoft Professional Program Certificate in Data Science.

Demand for data science talent is exploding. Develop your career as a data scientist, as you explore essential skills and principles with experts from Duke University and Microsoft.

In this data science course, you will learn key concepts in data acquisition, preparation, exploration, and visualization taught alongside practical application oriented examples such as how to build a cloud data science solution using Microsoft Azure Machine Learning platform, or with R, and Python on Azure stack.

Starts : 2017-04-01 in 3 days
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edX Free English Computer Science Data Analysis & Statistics EdX Microsoft

This course is part of the Microsoft Professional Program Certificate in Data Science.

Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends.

In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using R, Python, and Azure Machine Learning.