LII:Big Data Fundamentals - Revision history

Shawndouglas: Updated due to website changes

2022-11-14T18:01:26Z

Updated due to website changes

← Older revision		Revision as of 18:01, 14 November 2022
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	'''License for content''': Unknown		'''License for content''': Unknown

	'''Publication date''': ~~2021~~		'''Publication date''': 2022

	This is a University of Adelaide course that is released on the edX platform. The ten-week course is designed to provide greater "understanding of the various applications of big data methods in industry and research." The course is free to take, with a Verified Certificate of completion available for $199. This course is also part of Adelaide's Big Data MicroMasters program. The course requires on average eight to ten hours a week of effort.		This is a University of Adelaide course that is released on the edX platform. The ten-week course is designed to provide greater "understanding of the various applications of big data methods in industry and research." The course is free to take, with a Verified Certificate of completion available for $199. This course is also part of Adelaide's Big Data MicroMasters program. The course requires on average eight to ten hours a week of effort.
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	===The course===		===The course===
	[[File:PDF.png\|40px\|link=https://www.edx.org/course/big-data-fundamentals]]: The course can be found on the edX site, under the [https://www.edx.org/course/big-data-fundamentals Computer Science] category. Access to the class ~~begins June 7~~.		[[File:PDF.png\|40px\|link=https://www.edx.org/course/big-data-fundamentals]]: The course can be found on the edX site, under the [https://www.edx.org/course/big-data-fundamentals Computer Science] category. Access to the class began in the fall of 2022, and the free audit track is available until January 23, 2023.

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	[[Category:LII:Courses]]		[[Category:LII:Courses]]

Shawndouglas: Cats

2022-02-09T19:55:18Z

Cats

← Older revision		Revision as of 19:55, 9 February 2022
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Shawndouglas: Tweaks

2021-06-07T19:33:53Z

Tweaks

← Older revision		Revision as of 19:33, 7 June 2021
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	'''License for content''': Unknown		'''License for content''': Unknown

	'''Publication date''': ~~2019~~		'''Publication date''': 2021

	This is a University of Adelaide course that is released on the edX platform. The ten-week course is designed to provide greater "understanding of the various applications of big data methods in industry and research." The course is free to take, with a Verified Certificate of completion available for $~~150~~. This course is also part of Adelaide's Big Data MicroMasters program. The course requires on average eight to ten hours a week of effort.		This is a University of Adelaide course that is released on the edX platform. The ten-week course is designed to provide greater "understanding of the various applications of big data methods in industry and research." The course is free to take, with a Verified Certificate of completion available for $199. This course is also part of Adelaide's Big Data MicroMasters program. The course requires on average eight to ten hours a week of effort.

	The edX course description:		The edX course description:
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	===The course===		===The course===
	[[File:PDF.png\|40px\|link=https://www.edx.org/course/big-data-fundamentals]]: The course can be found on the edX site, under the [https://www.edx.org/course/big-data-fundamentals Computer Science] category. Access to the class begins ~~September 29, 2019~~.		[[File:PDF.png\|40px\|link=https://www.edx.org/course/big-data-fundamentals]]: The course can be found on the edX site, under the [https://www.edx.org/course/big-data-fundamentals Computer Science] category. Access to the class begins June 7.

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Shawndouglas: Created as needed.

2019-09-29T16:43:43Z

Created as needed.

New page

[[File:EdX.svg|right|240px]]
'''Title''': ''Big Data Fundamentals''

'''Author for citation''': Neumann ''et al.''

'''License for content''': Unknown

'''Publication date''': 2019

This is a University of Adelaide course that is released on the edX platform. The ten-week course is designed to provide greater "understanding of the various applications of big data methods in industry and research." The course is free to take, with a Verified Certificate of completion available for $150. This course is also part of Adelaide's Big Data MicroMasters program. The course requires on average eight to ten hours a week of effort.

The edX course description:

"In this course, part of the Big Data MicroMasters program, you will learn how big data is driving organisational change and the key challenges organizations face when trying to analyse massive data sets.

You will learn fundamental techniques, such as data mining and stream processing. You will also learn how to design and implement PageRank algorithms using MapReduce, a programming paradigm that allows for massive scalability across hundreds or thousands of servers in a Hadoop cluster. You will learn how big data has improved web search and how online advertising systems work."

"What you'll learn:

* Knowledge and application of MapReduce
* Understanding the rate of occurrences of events in big data
* How to design algorithms for stream processing and counting of frequent elements in Big Data
* Understand and design PageRank algorithms
* Understand underlying random walk algorithms"

'''About the authors'''

Four instructors are affiliated with this course in some fashion. To learn more about each instructor, go to the [https://www.edx.org/course/big-data-fundamentals edX course page] and click on the name of each instructor.

==General layout and contents of the course==
The pre-enrollment syllabus outlines the course over the ten-week period. The first week provides an introduction to the course and to big data. Weeks two and three delve into big data as it relates to the web and social media. Week four takes a closer look at the web, specifically Google search and PageRank, while week five addresses how MapReduce can compute PageRank, among other topics. Week six and seven get into similar and frequent data sets, respectively. Week eight gets into using tools to process recommendations, while week nine looks at Google's AdWords to segue into online matching algorithms. The final week discusses mining and filtering big data streams.

===The course===
[[File:PDF.png|40px|link=https://www.edx.org/course/big-data-fundamentals]]: The course can be found on the edX site, under the [https://www.edx.org/course/big-data-fundamentals Computer Science] category. Access to the class begins September 29, 2019.