Online Course in Computing in USA

View Online Courses in Computing in USA 2017

Computing

Courses are individual classes that can be taken at universities, colleges, junior colleges, and trade schools worldwide. For even greater flexibility, many schools also offer online classes. Students can take individual classes or pursue degree programs.

Education in the United States is mainly provided by the public sector, with control and funding coming from three levels: state, local, and federal, in that order. The common requirements to study at a higher education level in United States will include your admissions essay (also known as the statement of purpose or personal statement), transcript of records, recommendation/reference letters, language tests

Online Course in Computing in USA

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Course in Responsive Website Development and Design (Beginner)

Coursera
Online Part time 6 - 8 months Open Enrollment USA USA Online

This Specialization covers the basics of modern full stack web development, from UX design, to front-end coding, to custom databases. You’ll build foundational skills in a full range of technologies, including HTML/CSS, Javascript, and MongoDB, and you’ll learn to implement a reactive, multi-user web application using the meteor.js framework. [+]

Online Courses in Computing in USA. This Specialization covers the basics of modern full stack web development, from UX design, to front-end coding, to custom databases. You’ll build foundational skills in a full range of technologies, including HTML/CSS, Javascript, and MongoDB, and you’ll learn to implement a reactive, multi-user web application using the meteor.js framework. Coursera will also touch on more advanced topics, such as APIs, data visualization, and animation. Upon completing the Specialization and Capstone Project, you’ll have designed and launched your own fully-functioning, responsive web application. Courses Responsive Website Basics: Code with HTML, CSS, and JavaScript In this course you will learn three key website programming and design languages: HTML, CSS and JavaScript. You will create a web page using basic elements to control layout and style. Additionally, your web page will support interactivity. At the end of the course, you will be able to: 1. Define the purpose of HTML, CSS and JavaScript 2. Make a simple web page using HTML 3. Use CSS to control text styles and layout 4. Use CSS libraries such as Bootstrap to create responsive layouts 5. Use JavaScript variables and functions 6. Manipulate web page content using JavaScript 7. Respond to user input using JavaScript In this course, you will complete: 2 assignments writing HTML, CSS and JavaScript, each taking ~1 hour to complete 4 quizzes, each taking ~20 minutes to complete 1 programming exercise~30 minutes to complete multiple practice quizzes, each taking ~5 minutes to complete Participation in or completion... [-]

Course in Applied Data Science with Python (Intermediate)

Coursera
Online Part time Open Enrollment USA USA Online

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have basic a python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. [+]

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have basic a python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate. Courses Introduction to Data Science in Python This course will introduce the learner to the basics of the python programming environment, including how to download and install python, expected fundamental python programming techniques, and how to find help with python programming questions. The course will also introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the DataFrame as the central data structure for data analysis. The course will end with a statistics primer, showing how various statistical measures can be applied to pandas DataFrames. By the end of the course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. This course is... [-]

Course in Java Programming and Software Engineering Fundamentals (Beginner)

Coursera
Online Part time 6 - 7 months Open Enrollment USA USA Online

Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs. [+]

Online Courses in Computing in USA. Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs. Courses Programming Foundations with JavaScript, HTML and CSS Learn foundational programming concepts (e.g., functions, for loops, conditional statements) and how to solve problems like a programmer. In addition, learn basic web development as you build web pages using HTML, CSS, JavaScript. By the end of the course, will create a web page where others can upload their images and apply image filters that you create. After completing this course, you will be able to: 1. Think critically about how to solve a problem using programming; 2. Write JavaScript programs using functions, for loops, and conditional statements; 3. Use HTML to construct a web page with paragraphs, divs, images, links, and lists; 4. Add styles to a web page with CSS IDs and classes; and 5. Make a web page interactive with JavaScript commands like alert, onClick, onChange, adding input features like an image canvas, button, and slider. Java Programming: Solving Problems with Software Learn to code in Java and improve your programming and problem-solving skills. You will learn to... [-]

Course in Executive Data Science (Beginner)

Coursera
Online Part time 2 months Open Enrollment USA USA Online

In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. [+]

Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects. In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects. Courses A Crash Course in Data Science By now you have definitely heard about data science and big data. In this one-week class, Coursera 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. Coursera has designed this course to be as convenient as possible without sacrificing any of the essentials. This is a focused course designed to rapidly get you... [-]

Course in Interaction Design (Intermediate)

Coursera
Online Part time September 2017 USA USA Online

You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design. [+]

Online Courses in Computing in USA. You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design. Courses Human-Centered Design: an Introduction In this course, you will learn how to design technologies that bring people joy, rather than frustration. You'll learn several techniques for rapidly prototyping and evaluating multiple interface alternatives -- and why rapid prototyping and comparative evaluation are essential to excellent interaction design. You'll learn how to conduct fieldwork with people to help you get design ideas. How to make paper prototypes and low-fidelity mock-ups that are interactive -- and how to use these designs to get feedback from other stakeholders like your teammates, clients, and users. Armed with these design-thinking strategies, you’ll be able to do more creative human-centered design in any domain. Design Principles: an Introduction What makes an interface intuitive? How can I tell whether one design works better than another? This course will teach you fundamental principles of design and how to effectively evaluate your work with users. You'll learn fundamental principles of visual design so that you can effectively organize and present information with your interfaces. You'll learn principles of perception and cognition that inform effective interaction design. And you'll learn how to perform and analyze... [-]

Course in Functional Programming in Scala (Intermediate)

Coursera
Online Part time 4 - 5 months Open Enrollment USA USA Online

This Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. [+]

Discover how to write elegant code that works the first time it is run. This Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You'll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data. Courses Functional Programming Principles in Scala Functional programming is becoming increasingly widespread in industry. This trend is driven by the adoption of Scala as the main programming language for many applications. Scala fuses functional and object-oriented programming in a practical package. It interoperates seamlessly with both Java and Javascript. Scala is the implementation language of many important frameworks, including Apache Spark, Kafka, and Akka. It provides the core infrastructure for sites such as Twitter, Tumblr and also Coursera. In this course you will discover the elements of the functional programming style and learn how to apply them usefully in your daily programming tasks. You will also develop a solid foundation for reasoning about functional programs, by touching upon... [-]

Course in Data Science (Beginner)

Coursera
Online Part time 3 - 6 months Open Enrollment USA USA Online

This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material. [+]

Online Courses in Computing in USA. Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material. Courses The Data Scientist’s Toolbox In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio. R Programming In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and... [-]

Course in Ruby on Rails Web Development (Intermediate)

Coursera
Online Part time 7 months Open Enrollment USA USA Online

This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. Courser will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. [+]

This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. Coursera will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map. Courses Ruby on Rails: An Introduction Did you ever want to build a web application? Perhaps you even started down that path in a language like Java or C#, when you realized that there was so much “climbing the mountain” that you had to do? Maybe you have heard about web services being all the rage, but thought they were too complicated to integrate into your web application. Or maybe you wondered how deploying web applications to the cloud works, but there was too much to set up just to get going. In this course, Coursera will explore how to build web applications with the Ruby on Rails web application framework, which is geared towards rapid prototyping. Yes, that means building quickly! At the conclusion of this course, you will be able to build a meaningful web application and deploy it to the “cloud” using a Heroku PaaS (Platform as a Service). Best of all, it will almost feel effortless… Really! “But wait”, you will say,... [-]

Course in Cybersecurity (Intermediate)

Coursera
Online Part time Open Enrollment USA USA Online

The Cybersecurity Specialization covers the fundamental concepts underlying the construction of secure systems, from the hardware to the software to the human-computer interface, with the use of cryptography to secure interactions. [+]

Online Courses in Computing in USA. The Cybersecurity Specialization covers the fundamental concepts underlying the construction of secure systems, from the hardware to the software to the human-computer interface, with the use of cryptography to secure interactions. These concepts are illustrated with examples drawn from modern practice, and augmented with hands-on exercises involving relevant tools and techniques. Successful participants will develop a way of thinking that is security-oriented, better understanding how to think about adversaries and how to build systems that defend against them. Courses Usable Security This course focuses on how to design and build secure systems with a human-centric focus. Coursera will look at basic principles of human-computer interaction, and apply these insights to the design of secure systems with the goal of developing security measures that respect human performance and their goals within a system. Software Security This course will explore the foundations of software security. Coursera will consider important software vulnerabilities and attacks that exploit them -- such as buffer overflows, SQL injection, and session hijacking -- and Coursera will consider defenses that prevent or mitigate these attacks, including advanced testing and program analysis techniques. Importantly, Coursera takes a "build security in" mentality, considering techniques at each phase of the development cycle that can be used to strengthen the security of software systems. Cryptography This course will introduce you to the foundations of modern cryptography, with an eye toward practical applications. Hardware Security In this course, we will study security and trust from the hardware perspective.... [-]

Course in Data Science at Scale (Intermediate)

Coursera
Online Part time 5 months Open Enrollment USA USA Online

Learn scalable data management, evaluate big data technologies, and design effective visualizations. This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. [+]

Learn scalable data management, evaluate big data technologies, and design effective visualizations. This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you’ll explore legal and ethical issues that arise in working with big data. In the final Capstone Project, developed in partnership with the digital internship platform Coursolve, you’ll apply your new skills to a real-world data science project. Courses Data Manipulation at Scale: Systems and Algorithms 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. In this course, you will learn the landscape of relevant systems, the principles on which they rely, their tradeoffs, and how to evaluate their utility against your requirements. You will learn how practical systems were derived from the frontier of research in computer science and what systems are coming on the horizon. Cloud computing, SQL and NoSQL databases, MapReduce and the ecosystem it spawned, Spark and its contemporaries, and specialized systems... [-]

Course in Data Warehousing for Business Intelligence (Advanced)

Coursera
Online Part time 5 months Open Enrollment USA USA Online

This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. [+]

Online Courses in Computing in USA. Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics. This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience. Courses Database Management Essentials Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for Business Intelligence specialization. In this course, you will create relational databases, write SQL statements to extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases, and analyze table designs for excessive redundancy. As you develop these skills, you will use either Oracle or MySQL to execute SQL statements and a database diagramming tool such as the ER Assistant to create ERDs. Coursera have designed this course to ensure... [-]

Course in Big Data (Beginner)

Coursera
Online Part time 7 months Open Enrollment USA USA Online

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions. [+]

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions. Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data. Courses Introduction to Big Data 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... [-]

Course in Object Oriented Java Programming: Data Structures and Beyond (Intermediate)

Coursera
Campus Full time 4 - 6 semesters Open Enrollment USA USA Online

This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. [+]

Online Courses in Computing in USA. This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment. Courses Object Oriented Programming in Java Welcome to our course on Object Oriented Programming in Java using data visualization. People come to this course with many different goals -- and Coursera is really excited to work with all of you! Some of you want to be professional software developers, others want to improve your programming skills to implement that cool personal project that you’ve been thinking about, while others of you might not yet know why you’re here and are trying to figure out what this course is all about. This is an intermediate Java course. Coursera recommends this... [-]

Course in Data Structures and Algorithms (Intermediate)

Coursera
Online Part time 6 - 8 months Open Enrollment USA USA Online

The Specialization covers algorithmic techniques for solving problems arising in computer science applications. It is a mix of theory and practice: you will not only design algorithms and estimate their complexity, but you will get a deeper understanding of algorithms by implementing them in the programming language of your choice (C, C++, C#, Haskell, Java, JavaScript, Python2, Python3, Ruby, and Scala). [+]

The Specialization covers algorithmic techniques for solving problems arising in computer science applications. It is a mix of theory and practice: you will not only design algorithms and estimate their complexity, but you will get a deeper understanding of algorithms by implementing them in the programming language of your choice (C, C++, C#, Haskell, Java, JavaScript, Python2, Python3, Ruby, and Scala). This Specialization is unique, because it offers two real-world projects. Advanced Shortest Paths project is offered in the end of the Algorithms on Graphs course. In this project, you'll deal with road network analysis and social network analysis. You'll learn how to compute the fastest route between New York and Mountain View thousands of times faster than classic algorithms and close to those used in Google Maps. Through Genome Assembly culminating project at the end of the Specialization, you'll learn how to assemble genomes from millions of short pieces and how algorithms fuel recent developments in personalized medicine. Courses Algorithmic Toolbox The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in... [-]

Course in Full Stack Web Development (Intermediate)

Coursera
Online Part time 6 months Open Enrollment USA USA Online

The first two courses in this Specialization include an orientation to client-side development, covering HTML/CSS, JavaScript/JQuery, and frameworks such as AngularJS and Bootstrap. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment, and communicate to the client side through a RESTful API. You’ll also learn to create hybrid mobile applications, using the Ionic framework and Cordova. [+]

Online Courses in Computing in USA. Learn front-end and mobile hybrid development, build back-end support, and implement a fully functional application. The first two courses in this Specialization include an orientation to client-side development, covering HTML/CSS, JavaScript/JQuery, and frameworks such as AngularJS and Bootstrap. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment, and communicate to the client side through a RESTful API. You’ll also learn to create hybrid mobile applications, using the Ionic framework and Cordova. In the final Capstone Project, you’ll apply your skills to build a fully functional web and hybrid mobile application with back-end support. Courses HTML, CSS and JavaScript This course will teach you the essential elements of web page development, covering HTML, CSS and JavaScript. No previous experience of these technologies is necessary, although it is helpful if you have some prior programming experience. First, HTML together with CSS are discussed and explored. Then Coursera moves on to consider the essential components of JavaScript, including variables, arrays, loops, events and functions. Then Coursera explores more advanced elements of JavaScript control, including advanced use of functions, event control, array processing, and DOM manipulation. After completing this course, you will be able to: - Create a web page using HTML elements - Be able to apply CSS (style sheet rules) to parts of a web page, for altering display and behavior - Be able to program interactive JavaScript in a web page Front-End Web UI Frameworks and Tools... [-]