Online courses directory (1728)

This course is part of the Microsoft Professional Program Certificate in Front-End Web Development. 

Bootstrap is an open source project originally created by Twitter to enable creation of responsive, mobile first web pages. Bootstrap has a standard set of classes that allow developers to quickly create applications that scale to devices of all sizes, and incorporate common components such as dialog boxes and validation. Bootstrap has become a de facto standard for web design.
 
This course is designed to be a primer on Bootstrap. By the end of the three modules you will have gained the knowledge to create pages common to all web applications, and implement the most frequently used components and classes provided by Bootstrap. You will also see how to use the tooling provided by Visual Studio to assist you in creating pages as quickly as possible.

This course provides students and professionals in the analytics field with an accelerated introduction to the basics of management and the language of business.

The objective is to enhance an analytics-focused learner's effectiveness in the business world. Designed for students who possess little background in business, the course provides an introduction to the types business issues and problems that challenge management teams today.

The course is taught as a series of business disciplinary modules. The professors who teach the modules represent a diversity of functional areas, including accounting, finance, marketing, international marketing, industry analysis, and business strategy.

Topics covered include:

• basic accounting principles and theory
• financial statement formats, usage and analysis
• cost accounting, variance analysis, and the use of accounting data for decision making
• capital structure and financial analysis techniques
• methods of valuating entrepreneurial ventures, sources of entrepreneurial capital
• the marketing mix (product, price, promotion, and place) and strategic considerations in market planning
• fundamentals of industry analysis, business strategy formulation, and the use of innovation as a competitive weapon.

There are many programming languages in use today. Choosing which language to program in can be based on many factors such as learning curve, job specific requirements, platform specifics, or a plethora of other criteria. In this course, you will be introduced to the C# language and the world of .NET programming.  

The C# programming language was created from the ground up to be an object-oriented programming language that offers ease of use, familiarity to C/C++ and Java developers, along with enhanced memory and resource management. C# is prevalent on the Microsoft platform but is also being used to develop software that runs on Linux, Android, and iOS devices as well. 

Learning C# can position you for future programming opportunities, provide a solid foundation in object-oriented programming knowledge, and pave the way for learning other programming languages. This course aims to teach you about the core aspects of the C# language.

This course is the first part of a three-part series designed to teach core C# language fundamentals. In the second course of the series, you will learn object-oriented programming concepts and the third course offers instruction on data structures and algorithms with C#. Once you complete the series, you will have a very good foundation of C# knowledge to expand on and learn more as you progress in your programming career or hobby.

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).

Have you ever wondered what causes mental illness, or why we react to stress the way we do? Or what to expect as you get older?

Clinical psychology is the study of psychological disorders and the treatments designed to improve the day-to-day lives of people suffering from them. The focus of the course will be on common psychological disorders, such as schizophrenia, and the symptoms of each. We will also discuss the underlying role of stress and how it affects people mentally and physically. We will also consider more general issues and theories around personality and intelligence.

You should take this course if you want to better understand psychological disorders and how we can treat them.

Cloud computing, or “the cloud”, has gone from a leading trend in IT to mainstream consciousness and wide adoption.

This self-paced course introduces cloud computing concepts where you’ll explore the basics of cloud services and cloud deployment models. 

You’ll become acquainted with commonly used industry terms, typical business scenarios and applications for the cloud, and benefits and limitations inherent in the new paradigm that is the cloud.

This course will help prepare you for more advanced courses in Windows Server-based cloud and datacenter administration.

Does your team use Cloud Foundry to deploy applications? Or would you like to use Cloud Foundry, but haven't had time to learn the lingo? Then this course is just what you need! Cloud Foundry makes it simple for developers to deliver business value more quickly, without wasting time getting their app to the cloud -- it's already there.

This course is an introduction to Cloud Foundry, including distributions available to end users, an overview of the platform's components, and what it means to be Cloud Foundry certified. The course also includes technical instructions on how to use the command line interface, how applications are deployed, what services are within the context of the system and basic debugging practices.

Finally, the workshop will take you on a tour through what it means to build cloud-native applications architecturally and ideologically. In doing so, we'll review the 12-factor method of composing modern distributed web systems.

New to the cloud and not sure where to begin? This introductory course, taught by cloud experts from The Linux Foundation, will help you grasp the basics of cloud computing and comprehend the terminology, tools and technologies associated with today’s top cloud platforms.

Understanding cloud technologies tops the list of most important skills for any developer, system administrator or network computing professional seeking a lucrative career in technology. However, getting started and researching all things cloud can be complicated and time consuming. This course maps out the entire cloud landscape and explains how various tools and platforms fit together.

Experts from The Linux Foundation can help guide you step-by-step as you begin to navigate the cloud. They host some of the world's leading open source cloud projects and provide training and networking opportunities to educate a talent pool to support those projects, and is a respected, neutral, non-profit education source to provide training for anyone learning how to build and manage cloud infrastructure.

This course gives you a primer on cloud computing and the use of open source software to maximize development and operations. Topics covered include:

• Next-generation cloud technologies: Learn about cloud and container technologies like Docker, CoreOS, Cloud Foundry, Kubernetes and OpenStack, as well as the tooling around them.
• Scalable and performant compute, storage and network solutions: Get an overview of software defined storage and software defined networking solutions.
• Solutions employed by companies to meet their business demands: Study up on DevOps and continuous integration practices, as well as the deployment tools available to architects to meet and exceed their business goals.

No previous cloud experience is required for this course. "Introduction to Cloud Infrastructure Technologies" gives you the knowledge and tools to make smart decisions about which cloud services and applications to use depending on your needs.

6.00.2x will teach you how to use computation to accomplish a variety of goals and provides you with a brief introduction to a variety of topics in computational problem solving . This course is aimed at students with some prior programming experience in Python and a rudimentary knowledge of computational complexity. You will spend a considerable amount of time writing programs to implement the concepts covered in the course. For example, you will write a program that will simulate a robot vacuum cleaning a room or will model the population dynamics of viruses replicating and drug treatments in a patient's body.

Topics covered include:

• Advanced programming in Python 3
• Knapsack problem, Graphs and graph optimization
• Dynamic programming
• Plotting with the pylab package
• Random walks
• Probability, Distributions
• Monte Carlo simulations
• Curve fitting
• Statistical fallacies

Computer Numerical Control (CNC) Machining is the process through which computers control machine-based processes in manufacturing. The kinds of machines controlled include lathes, mills, routers and grinders – all used for manufacturing of metal and plastic products. 

In this course, you’ll learn the ins-and-outs of CNC machining; building the essential knowledge to develop and operate a project with a CNC machine.

From plan interpretation to machining and quality control, you will learn how to make the right decision in every stage of a project through videos and interactive activities.  

We invite you to take part of the “Jaque Mate” company project, the objective of which is to produce chess pieces.

Are you up for the challenge?

This is CS50x, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. As of Fall 2016, the on-campus version of CS50x, CS50, was Harvard's largest course.

Students who earn a satisfactory score on 9 problem sets (i.e., programming assignments) and a final project are eligible for a certificate. This is a self-paced course–you may take CS50x on your own schedule.

HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.

HarvardX pursues the science of learning. By registering as an online learner in an HX course, you will also participate in research about learning. Read our research statement to learn more.

Harvard University and HarvardX are committed to maintaining a safe and healthy educational and work environment in which no member of the community is excluded from participation in, denied the benefits of, or subjected to discrimination or harassment in our program. All members of the HarvardX community are expected to abide by Harvard policies on nondiscrimination, including sexual harassment, and the edX Terms of Service. If you have any questions or concerns, please contact harvardx@harvard.edu and/or report your experience through the edX contact form.

This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. Some of the people taking the two courses will use them as a stepping stone to more advanced computer science courses, but for many it will be their first and last computer science courses. This run features updated lecture videos, lecture exercises, and problem sets to use the new version of Python 3.5. Even if you took the course with Python 2.7, you will be able to easily transition to Python 3.5 in future courses, or enroll now to refresh your learning.

Since these courses may be the only formal computer science courses many of the students take, we have chosen to focus on breadth rather than depth. The goal is to provide students with a brief introduction to many topics so they will have an idea of what is possible when they need to think about how to use computation to accomplish some goal later in their career. That said, they are not "computation appreciation" courses. They are challenging and rigorous courses in which the students spend a lot of time and effort learning to bend the computer to their will.

In this computer science course, you will learn about foundational computing principles, such as how to write and read computer code and how to run and debug code.

You will learn about programming concepts in Python and how they demonstrate computing principles and domain applications that use programming concepts and computing principles in real applications.

The course will also cover:

• procedural programming
• control structures
• data structures
• advanced topics in algorithms and object-oriented programming

This course builds on a custom textbook written for the class and online course delivery and provides ample interaction and formative evaluation. The course teaches both the theory and implementation of core computing concepts in a highly interactive, multi-modal manner.

If you want to learn the basic physics of solids, fluids, heat and mass transport, this is the course you have been looking for. It combines the power and beauty of mathematics with physical intuition for a comprehensive understanding of continuum physics.

The course begins with an overview of vectors and tensors. It then proceeds through fundamental concepts of motion, balance laws, constitutive relations and thermodynamics. This introductory course addresses mainly solid and fluid mechanics, but approaches them in a unified manner. The follow-up, advanced course extends this treatment to thermomechanics, variational principles and mass transport.

Finally, a word on the treatment of the subject: it is mathematical. We know of no other way to do continuum physics. While the course is rigorous, it is neither abstract nor formal. In every segment connections are made with the physics of the subject. Simple but instructive props such as a deformable plastic bottle, water and food coloring are used throughout the course. Finally, the time-honored continuum potato has been supplanted by an icon of American life: the continuum football.

Have you wondered about the design strategies behind temperature controllers, quad-copters, or self-balancing scooters? Are you interested in robotics, and have heard of, or tried, “line-following" or “PID control” and want to understand more?

Feedback control is a remarkably pervasive engineering principle. Feedback control uses sensor data (e.g. brightness, temperature, or velocity) to adjust or correct actuation (e.g. steering angle, motor acceleration, or heater output), and you use it all the time, like when you steer a bicycle, catch a ball, or stand upright. But even though applications of feedback are very common, the subject is an uncommonly compelling example of mathematical theory guiding practical design. In this engineering course we will introduce you to the theory and practice of feedback control and provide a glimpse into this rich and beautiful subject.

Each week we will begin with a mathematical description of a fundamental feedback concept, combined with on-line exercises to test your understanding, and will finish with you designing, implementing, measuring, and analyzing a hardware system, that you build, for controlling a propeller-levitated-arm feedback system.

You will not need a background in calculus or software engineering to succeed in this class but you should be familiar with algebra and mechanical forces, have some exposure to complex numbers, and be comfortable with modifying mathematical formulas in short computer programs.

This is a lab course, and in order to complete the weekly assignments, you will need to purchase/acquire a list of parts. To make sure you receive your parts before the class begins, you should register promptly, so that you can access the lists of parts and international vendors.

In this course, you will gain an understanding of time-honored financial concepts and rules, and how these can be applied to value firms, bonds, and stocks.

We will cover the time value of money, cost of capital and capital budgeting. You will be using Excel for many process including valuing bonds and stocks, computing NPV and finding IRR.

An introductory finance course that is required for all first-year MBA students at Columbia Business School, the course is taught by a world-class instructor, actively training the next generation of market leaders on Wall Street.

Participants from all backgrounds will be prepared to participate on the ever-evolving financial playing field.

This course serves as an introduction to the exciting field of cybersecurity.

As our daily lives become more and more dependent on Internet-based tools and services, and as those platforms accumulate more of our most sensitive data, the demand grows for experts in the field of cybersecurity.

In this course, you will gain an overview of the cybersecurity landscape as well as national (USA) and international perspectives on the field. We will cover the legal environment that impacts cybersecurity as well as predominant threat actors.

The ability to analyze data is a powerful skill that helps you make better decisions. Microsoft Excel is one of the top tools for data analysis and the built-in pivot tables are arguably the most popular analytic tool.

In this course, you will learn how to perform data analysis using Excel’s most popular features. You will learn how to create pivot tables from a range with rows and columns in Excel. You will see the power of Excel pivots in action and their ability to summarize data in flexible ways, enabling quick exploration of data and producing valuable insights from the accumulated data.

Pivots are used in many different industries by millions of users who share the goal of reporting the performance of companies and organizations. In addition, Excel formulas can be used to aggregate data to create meaningful reports. To complement, pivot charts and slicers can be used together to visualize data and create easy to use dashboards.

You should have a basic understanding of creating formulas and how cells are referenced by rows and columns within Excel to take this course. If required, you can can find many help topics on Excel at the Microsoft Office Support Site. You are welcome to use any supported version of Excel you have installed in your computer, however, the instructions are based on Excel 2016. You may not be able to complete all exercises as demonstrated in the lectures but workarounds are provided in the lab instructions or Discussion forum. Please note that Excel for Mac does not support many of the features demonstrated in this course.

After taking this course you’ll be ready to continue to our more advanced Excel course, Analyzing and Visualizing Data with Excel.

Through a combination of lectures, business case studies, and hands-on learning this course provides an introduction to data analytics techniques and their application in business.

The case studies explored will illustrate how companies are leveraging different sources of data, including “big data,” with different analytical techniques, to improve performance. You will receive hands-on learning through a free web-based graphical development environment that will allow you to practice using some of these tools themselves. You will also gain an understanding of the many possibilities for applying data science in business, and will be able to consider additional learning opportunities to gain further depth.

This course is an excellent resource for managers who see the opportunity to use data analytics in business but do not have the skills and background to engage with data analytics themselves.

Technology trends such as shared-service infrastructures, cloud computing, Big Data, and the Internet of Things are all changing the way data is processed, stored, and used in enterprises. There is an increasing need for skilled enterprise storage architects and administrators. IT students and professionals seeking a career in the storage industry need to gain knowledge and skills to manage massive amounts of data in enterprise and cloud environments.

This computer science course seeks to provide learners with a basic understanding of enterprise data storage and management technologies. You will learn about different types of storage systems, storage networking technologies as well as concepts related to business continuity, storage security, and storage management.

This course will also cover key concepts related to cloud computing, and some of the new trends in the storage industry. The basic concepts covered in this course will enable learners to later explore each concept in greater detail.