Computational Thinking and Big Data

开始时间: 04/22/2022 持续时间: 10 weeks

所在平台: EdxArchive 课程类别: 其他类别 大学或机构: AdelaideX 授课老师： Dr. Brad Alexander Dr. Lewis Mitchell Dr. Simon Tuke

课程主页: https://www.edx.org/archive/computational-thinking-big-data-adelaidex-compx

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课程详情

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, MOA and data processing libraries in associated language environments.

课程大纲

• 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, MOA and Hadoop
• 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

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