Courses tagged with "Computer Science" (79)

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Starts : 2017-04-01 in 2 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 2 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 2 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 2 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 2 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 2 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 2 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 2 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 2 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 2 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 2 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.

Starts : 2017-04-01 in 2 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.

Showcase the knowledge and skills you’ve acquired during the Microsoft Professional Program for Data Science, and solve a real-world data science problem in this program capstone project. The project takes the form of a challenge in which you will explore a dataset and develop a machine learning solution that is tested and scored to determine your grade.

Note: This course assumes you have completed the previous courses in the Microsoft Professional Program for Data Science. For details, go to https://academy.microsoft.com/en-us/professional-program/data-science.

Starts : 2017-04-01 in 2 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.

This practical course, developed in partnership with Coding Dojo, targets individuals who have introductory level Python programming experience. The course teaches students how to start looking at data with the lens of a data scientist by applying efficient, well-known mining models in order to unearth useful intelligence, using Python, one of the popular languages for Data Scientists. Topics include data visualization, feature importance and selection, dimensionality reduction, clustering, classification and more! All of the data sets used in this course are gathered live-data or inspired by real-world domains that can benefit from machine learning.

Starts : 2017-04-01 in 2 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.

Next generation apps have brought intelligence to software, enabling users to interact with everyday devices in new ways.

In this data science course for developers, you will learn how to create smart applications that use the power of machine learning to engage with users in previously unimaginable ways.

Starts : 2017-04-01 in 2 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 data science course, you will explore the theory and practice of select advanced methods commonly used in data science.

In the first two modules, you will learn about common applications of specialized data types. Then, in the remaining two modules, you will focus on unstructured data. You will work with tools such as R, Python, and Azure Machine Learning to solve advanced data science problems.

Starts : 2017-04-01 in 2 days
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edX Free English Computer Science EdX Microsoft

This course describes the preparation steps for a successful deployment of Windows 10 in an enterprise environment by using Microsoft Deployment Toolkit and System Center Configuration Manager. It also explains the other methods available today for migrating to Windows 10.

This course is the second of four courses in the Windows 10 Features for a Mobile Workforce XSeries, which has been created to help you prepare for Microsoft certification Exam 70-697: Configuring Windows Devices.

Starts : 2017-04-01 in 2 days
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edX Free English Computer Science EdX Microsoft

Learn to manage Windows 10 desktop and application deployments as well as cloud-based application and data service environments for medium-to-large enterprises.

This course is the third of four courses in the Windows 10 Features for a Mobile Workforce XSeries, which has been created to help you prepare for Microsoft certification Exam 70-697: Configuring Windows Devices.

Starts : 2017-04-01 in 2 days
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edX Free English Business & Management Computer Science EdX Microsoft

Are you an individual working with SharePoint on-premises or online? Are you looking for advanced skills to connect and administer a hybrid environment? Then this course is for you!

This course will teach you how to connect your SharePoint on-premises farm to Microsoft's cloud services. You will learn about Office 365 and Microsoft Azure, architecture planning, platform hygiene and preparation, directory synchronization using Azure AD Connect, and how to configure a seamless single sign-on experience for users with Active Directory Federation Services (AD FS).

By the end of this course, you will have the information you need to adequately plan a SharePoint environment to make way for a hybrid installation. The course will also provide you with skills in preparing SharePoint environments for a hybrid connection. 

Starts : 2017-04-10 in 11 days
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edX Free English ColumbiaX Computer Science EdX Physics

How do you create realistic animations? How do you predict the motion of materials? It’s key to the success of animated films to ensure (was insure) audiences believe in characters.

This course will show you how to create lifelike animations focusing on the technical aspects of CGI animation and also give you a glimpse into how studios approach the art of physically-based animation.

You will learn the fundamental concepts of physical simulation, including:

  1. integration of ordinary differential equations such as those needed to predict the motion of a dress in the wind.
  2. formulation of models for physical phenomena such as crumpling sheet metal and flowing water.
  3. treatment of discontinuities such as fractures and collisions.
  4. simulation of liquids and solids in both Lagrangian and Eulerian coordinates.
  5. artistic control of physically-based animations.

These concepts will be put into practice in the programming assignments spanning:

  • Discretizing and integrating Newton’s equations of motion
  • Constrained Lagrangian Mechanics
  • Collisions, contact, and friction: detection and response
  • Continuum mechanics
  • Finite elements
  • Rigid body simulation
  • Thin shell and cloth simulation
  • Elastic rod and hair simulation
  • Fluid simulation

Starts : 2017-04-10 in 11 days
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edX Free English ColumbiaX Computer Science EdX Engineering

We think of Robotics as the science of building devices that physically interact with their environment. The most useful robots do it precisely, powerfully, repeatedly, tirelessly, fast, or some combinations of these. The most interesting robots maybe even do it intelligently. This course will cover the fundamentals of robotics, focusing on both the mind and the body.

We will learn about two core robot classes: kinematic chains (robot arms) and mobile bases. For both robot types, we will introduce methods to reason about 3-dimensional space and relationships between coordinate frames. For robot arms, we will use these to model the task of delivering a payload to a specified location. For mobile robots, we will introduce concepts for autonomous navigation in the presence of obstacles.

Class projects will make use of ROS - the open-source Robot Operating System (www.ros.org) widely used in both research and industry. Computer requirements for working on the projects will include a computer set up with Ubuntu Linux and high bandwidth internet access for downloading and installing ROS packages.