Programming for Data Science
About this Course
There is a rising demand for people with the skills to work with Big Data sets and this course can start you on your journey through our Big Data MicroMasters program towards a recognised credential in this highly competitive area. Using practical activities you will learn how digital technologies work and will develop your coding skills through engaging and collaborative assignments. You will learn algorithm design as well as fundamental programming concepts such as data selection, iteration and functional decomposition, data abstraction and organisation. In addition to this you will learn how to perform simple data visualisations using Processing and embed your learning using problem-based assignments. This course will test your knowledge and skills in solving small-scale data science problems working with real-world datasets and develop your understanding of big data in the world around you.Created by: University of Adelaide
Level: Introductory

Related Online Courses
Virtual reality is changing the way we interact with the world. But how does it work, what hardware is involved, and how is software written for it? In this course, part of the Virtual Reality... more
Organizations are increasingly moving their critical information and assets to the cloud. Understand the technology, best practices, and economics of cloud computing, and the rewards and risks of... more
Information Security is everywhere: as the world becomes more and more digitized, so it becomes more and more hackable. Cyber attacks, data breaches, and even cyber warfare are all very real - so... more
In this course you will start by identifying the different steps a HVAC (Heating, Ventilation and Air Conditioning) engineers need to follow to come to a proper design while collaborating with the... more
This Data Structures & Algorithms course completes the data structures portion presented in the sequence of courses with self-balancing AVL and (2-4) trees. It also begins the algorithm portion... more