Software and data make the world go round. Learn programming, to analyse and visualise open data, with this free online course. This hands-on course will teach you how to write your own computer programs, one line of code at a time. You’ll learn how to access open data, clean it and analyse it and to produce visualisations. You will also learn how to write up and share your analyses, privately or publicly.
You will learn to code in Python, a widely used programming language across all disciplines, due to its support for scientific and engineering libraries and visualisation tools, and wide range of development tools.
You will write up analyses and do coding exercises using the popular Jupyter Notebooks platform, which allows you to see immediately the result of running your code and helps you identify – and fix – any errors more easily.
You will look at real data from the World Health Organisation, the World Bank and other organisations. You’ll be encouraged to discuss the data and your analyses with your fellow learners, and to build a community of researchers around these and other datasets.
The course does not require any knowledge of statistics, but you need to have basic numeracy skills, like writing arithmetic expressions, using percentages and understanding scientific notation. If you wish to brush up on your numeracy skills, we recommend the FutureLearn course Basic Science: Understanding Numbers from The Open University.
Please note: you will need access to a desktop or laptop computer on which you can install software. The software is free and there are versions available for Windows, Mac and Linux platforms. You will receive installation instructions via email before the course starts.
You will need about 3 GB of free disk space to download and install the software, and to store datasets that will be provided in the course.
You will need to be proficient in basic computer tasks, like creating folders, downloading files and copying them to specific folders, etc. In terms of accessibility, you will be asked to use your web browser and to type code.
Aprende a programar en Android a través de la implementación paso a paso de un juego interactivo. Según datos publicados por Gartner a nivel mundial, casi el 60% de los teléfonos vendidos en 2013 fueron teléfonos inteligentes. Alrededor del 80% de estos teléfonos llevaban en su interior el sistema operativo Android. No cabe duda, por lo tanto, de que formarse en Android es una de las mejores inversiones que puede hacer un programador en la actualidad.
How does Google Maps plan the best route for getting around town given current traffic conditions? How does an internet router forward packets of network traffic to minimize delay? How does an aid group allocate resources to its affiliated local partners? To solve such problems, we first represent the key pieces of data in a complex data structure. In this course, you’ll learn about data structures, like graphs, that are fundamental for working with structured real world data.
The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees).
In this course, you will write programs in Java to solve real world problems that are large enough to require multiple classes working together. You will see that programming is more than just coding--it involves strategic thinking and design as well. You will learn how to design programs to solve problems that require solutions that scale. You will also learn about the Java Collections classes and how Java interfaces facilitate developing programs that scale. After completing this course, you will be able to:
In this course you will learn how to apply the functional programming style in the design of larger applications. You'll get to know important new functional programming concepts, from lazy evaluation to structuring your libraries using monads. We'll work on larger and more involved examples, from state space exploration to random testing to discrete circuit simulators. You’ll also learn some best practices on how to write good Scala code in the real world.
The primary topics in this part of the specialization are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and randomized algorithms (QuickSort, contraction algorithm for min cuts).
Welcome to our course on Object Oriented Programming in Java using data visualization. People come to this course with many different goals -- and we are 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.
In this course, we will explore MongoDB, a very popular NoSQL database and Web Services concepts and integrate them both with Ruby on Rails. MongoDB is a used to handle documents with a pre-defined schema which will give the developers an ability to store, process and use data using it’s rich API. The modules will go in-depth from installation to CRUD operations, aggregation, indexing, GridFS and various other topics where we continuously integrate MongoDB with RailsRuby.
It is an online course aimed at large-scale participation and open (free) access via the internet.
They are similar to university courses, but do not tend to offer academic credit.
A number of web-based platforms (providers Aka initiatives) supported by top universities and colleges offer MOOCs in a wide range of subjects.
How to Be a Successful MOOC Student - MOOCs – Massive Open Online Courses – enable students around the world to take university courses online. This guide, by the instructors of edX’s most successful MOOC in 2013-2014, Principles of Written English (based on both enrollments and rate of completion), advises current and future students how to get the most out of their online study, covering areas such as what types of courses are offered and who offers them, what resources students need, how to register, how to work effectively with other students, how to interact with professors and staff, and how to handle assignments. This second edition offers a new chapter on how to stay motivated. This book is suitable for both native and non-native speakers of English, and is applicable to MOOC classes on any subject (and indeed, for just about any type of online study).