Home Science Computer Science Big data
Computational Thinking and Big Data

Computational Thinking and Big Data

Learn the core concepts of computational thinking and how to collect, clean and consolidate large-scale datasets.
Video Beginner
Gallery
Description

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.


Pricing:
Free
Level:
Beginner
Duration:
10 weeks, 8h-10h/week
Educator:
Lewis Mitchell
Organization:
University of Adelaide
Submitted by:
Coursearena
Reviews
Would you recomment this course to a friend?
Discussion
There are no comments yet. Please sign in to start the discussion.