Programming for Data Science

There is a rising demand for people with the skills to undertake coding for data analytics and work with Big Data sets. This course can start you on your journey through our Big Data MicroMasters program, allowing you to work towards a recognised credential in this highly competitive area. What will you learn? Using practical activities you will learn how digital technologies work and will develop your coding and computational thinking skills through engaging and collaborative assignments. You will learn algorithm design as well as fundamental programming for data science 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. Who should study this programming for data science course? This course forms part of the Big Data MicroMasters Program, which provides existing or aspiring data scientists and business analysts with the the skills to make informed, data-driven business decisions.

• How to analyse data and perform simple data visualisations using Processing
• Understand and apply introductory programming concepts such as sequencing, iteration and selection
• Equip you to study computer science or other programming languages

• None. This is the first course in the Big Data program. Canditidates interested in pursuing the program should visit the MicroMasters Big Data Program page for more information.