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Dec 5th 2016

Get an overview of the data, questions, and tools that data analysts and data scientists work with. This is the first course in the Johns Hopkins Data Science Specialisation. 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.

Average: 4 (20 votes)
Nov 28th 2016

Writing good code for data science is only part of the job. In order to maximizing the usefulness and reusability of data science software, code must be organized and distributed in a manner that adheres to community-based standards and provides a good user experience. This course covers the primary means by which R software is organized and distributed to others.

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Self-paced

JavaScript has been steadily gaining popularity since its introduction in 1995 by Netscape and continues to hold its position as the number one language for web pages. JavaScript is a high-level, dynamic, untyped, and interpreted programming language that has been standardized in the ECMAScript language specification and is currently one of the most support languages across all browsers. This is a free course with a MOOC List coupon.

Average: 8 (3 votes)
Self-paced

Do you write code and work with other developers? Do you want to be able to track changes to your code and be safe/not lose everything in case anything ever happens to your main computer or server? Version control is essential these days. Git, a tool created by Linus Torvald, is a great option, and that's what we'll explore in this course. Next, you'll dive into the Git universe: commit, branches, merges... you'll understand it all! You'll also learn how to use GitHub to save your own code and contribute to open source projects.

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Feb 20th 2015

Programming-oriented course on effectively using modern computers to solve scientific computing problems arising in the physical/engineering sciences and other fields. Provides an introduction to efficient serial and parallel computing using Fortran 90, OpenMP, MPI, and Python, and software development tools such as version control, Makefiles, and debugging.

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Self Paced

Effective use of version control is an important and useful skill for any developer working on long-lived (or even medium-lived) projects, especially if more than one developer is involved. This course, built with input from GitHub, will introduce the basics of using version control by focusing on a particular version control system called Git and a collaboration platform called GitHub.

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Jun 17th 2013

Learn the engineering skills needed to build a technology startup from the ground up.

Average: 10 (1 vote)