Computational Thinking and Big Data

MOOC
Computational Thinking and Big Data
Language
English
Duration
1 hour coourse
Certificate
Certification paid
Course by EdX
Computational Thinking and Big Data
What will you learn?
Understand and apply advanced core computational thinking concepts to large-scale data sets
Use industry-level tools for data preparation and visualisation, such as R and Java
Apply methods for data preparation to large data sets
Understand mathematical and statistical techniques for attracting information from large data sets and illuminating relationships between data sets
About the course

Computational thinking is an invaluable skill that can be used across every industry, as it allows you to formulate a problem and express a solution in such a way that a computer can effectively carry it out.

In this course, part of the Big Data MicroMasters program, you will learn how to apply computational thinking in data science. You will learn core computational thinking concepts including decomposition, pattern recognition, abstraction, and algorithmic thinking.

You will also learn about data representation and analysis and the processes of cleaning, presenting, and visualizing data. You will develop skills in data-driven problem design and algorithms for big data.

The course will also explain mathematical representations, probabilistic and statistical models, dimension reduction and Bayesian models.

You will use tools such as R and Java data processing libraries in associated language environments.

Program
Computational Thinking and Big Data
Learn the core concepts of computational thinking and how to collect, clean and consolidate large-scale datasets.
Lecturers
Lewis Mitchell
Lewis Mitchell
Lecturer in Applied Mathematics University of Adelaide
Markus Wagner
Markus Wagner
Senior Lecturer, School of Computer Science University of Adelaide
Simon Tuke
Simon Tuke
Lecturer in Statistics University of Adelaide
Gavin Meredith
Gavin Meredith
Research Associate, School of Computer Science University of Adelaide
Ian Knight
Ian Knight
Lecturer, School of Computer Science University of Adelaide
Platform
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