LII:Introduction to Data Science - Revision history

Shawndouglas: Updated

2024-05-13T14:45:50Z

Updated

← Older revision		Revision as of 14:45, 13 May 2024
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	'''License for content''': Unknown		'''License for content''': Unknown

	'''Publication date''': ~~2023~~		'''Publication date''': 2024

	This is an IBM-created course that is released on the edX platform. The introductory six-week course will have you "meet some big data science practitioners and we will get an overview of what data science is today." The course is free to take. A verified certificate of completion, via a Verified track from IBM, is available afterwards for $99 USD. ~~(Note that~~ the ~~Audit~~ track expires ~~August 29, 2023~~.)		This is an IBM-created course that is released on the edX platform. The introductory six-week course will have you "meet some big data science practitioners and we will get an overview of what data science is today." The course is free to take. A verified certificate of completion, via a Verified track from IBM, is available afterwards for $99 USD. The class began in early 2024, and the free audit track expires June 24.

	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/intro-to-data-science?index=product&queryID=21dc8215e78aaa7723b7efbd4df6584f]]: The course can be found on the edX site, under the [https://www.edx.org/course/intro-to-data-science?index=product&queryID=21dc8215e78aaa7723b7efbd4df6584f Data Analysis & Statistics] category. A session is live and will run through September 30, 2023. ~~Enrollment for~~ the free ~~Audit~~ track ~~ends August 29. Another session begins on October 1~~.		[[File:PDF.png\|40px\|link=https://www.edx.org/course/intro-to-data-science?index=product&queryID=21dc8215e78aaa7723b7efbd4df6584f]]: The course can be found on the edX site, under the [https://www.edx.org/course/intro-to-data-science?index=product&queryID=21dc8215e78aaa7723b7efbd4df6584f Data Analysis & Statistics] category. A session is live and will run through September 30, 2023. The class began in early 2024, and the free audit track expires June 24.

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

Shawndouglas: Updated due to website changes

2023-07-18T22:09:58Z

Updated due to website changes

← Older revision		Revision as of 22:09, 18 July 2023
Line 6:		Line 6:
	'''License for content''': Unknown		'''License for content''': Unknown

	'''Publication date''': ~~2022~~		'''Publication date''': 2023

	This is an IBM-created course that is released on the edX platform. The introductory six-week course will have you "meet some big data science practitioners and we will get an overview of what data science is today." The course is free to take. A verified certificate of completion, via a Verified track from IBM, is available afterwards for $99 USD. (Note that the Audit track expires ~~September 5~~, ~~2022~~.)		This is an IBM-created course that is released on the edX platform. The introductory six-week course will have you "meet some big data science practitioners and we will get an overview of what data science is today." The course is free to take. A verified certificate of completion, via a Verified track from IBM, is available afterwards for $99 USD. (Note that the Audit track expires August 29, 2023.)

	The edX course description:		The edX course description:
Line 31:		Line 31:

	===The course===		===The course===
	[[File:PDF.png\|40px\|link=https://www.edx.org/course/intro-to-data-science?index=product&queryID=21dc8215e78aaa7723b7efbd4df6584f]]: The course can be found on the edX site, under the [https://www.edx.org/course/intro-to-data-science?index=product&queryID=21dc8215e78aaa7723b7efbd4df6584f Data Analysis & Statistics] category. A session is live and will run through ~~December 31~~, ~~2022~~. Enrollment for the free Audit track ends ~~September 5~~.		[[File:PDF.png\|40px\|link=https://www.edx.org/course/intro-to-data-science?index=product&queryID=21dc8215e78aaa7723b7efbd4df6584f]]: The course can be found on the edX site, under the [https://www.edx.org/course/intro-to-data-science?index=product&queryID=21dc8215e78aaa7723b7efbd4df6584f Data Analysis & Statistics] category. A session is live and will run through September 30, 2023. Enrollment for the free Audit track ends August 29. Another session begins on October 1.

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

Shawndouglas: Tweaks

2022-07-25T20:14:16Z

Tweaks

← Older revision		Revision as of 20:14, 25 July 2022
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	'''License for content''': Unknown		'''License for content''': Unknown

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

	This is an IBM-created course that is released on the edX platform. The introductory six-week course will have you "meet some big data science practitioners and we will get an overview of what data science is today." The course is free to take. A verified certificate of completion, via a Verified track from IBM, is available afterwards for $99 USD. (Note that the Audit track expires ~~October 17~~, ~~2021~~.)		This is an IBM-created course that is released on the edX platform. The introductory six-week course will have you "meet some big data science practitioners and we will get an overview of what data science is today." The course is free to take. A verified certificate of completion, via a Verified track from IBM, is available afterwards for $99 USD. (Note that the Audit track expires September 5, 2022.)

	The edX course description:		The edX course description:
Line 31:		Line 31:

	===The course===		===The course===
	[[File:PDF.png\|40px\|link=https://www.edx.org/course/intro-to-data-science?index=product&queryID=21dc8215e78aaa7723b7efbd4df6584f]]: The course can be found on the edX site, under the [https://www.edx.org/course/intro-to-data-science?index=product&queryID=21dc8215e78aaa7723b7efbd4df6584f Data Analysis & Statistics] category. A session will ~~start September 5~~, ~~2021~~. Enrollment for the free Audit track ends ~~October 17~~.		[[File:PDF.png\|40px\|link=https://www.edx.org/course/intro-to-data-science?index=product&queryID=21dc8215e78aaa7723b7efbd4df6584f]]: The course can be found on the edX site, under the [https://www.edx.org/course/intro-to-data-science?index=product&queryID=21dc8215e78aaa7723b7efbd4df6584f Data Analysis & Statistics] category. A session is live and will run through December 31, 2022. Enrollment for the free Audit track ends September 5.

	<!--Place all category tags here-->		<!--Place all category tags here-->
	[[Category:LII:Courses]]		[[Category:LII:Courses]]

Shawndouglas: Cats

2022-02-09T20:04:07Z

Cats

← Older revision		Revision as of 20:04, 9 February 2022
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			[[Category:LII:Courses]]

Shawndouglas: Created as needed.

2021-09-05T15:52:54Z

Created as needed.

New page

[[File:EdX.svg|right|240px]]
'''Title''': ''Introduction to Data Science''

'''Author for citation''': Alex Aklson

'''License for content''': Unknown

'''Publication date''': 2021

This is an IBM-created course that is released on the edX platform. The introductory six-week course will have you "meet some big data science practitioners and we will get an overview of what data science is today." The course is free to take. A verified certificate of completion, via a Verified track from IBM, is available afterwards for $99 USD. (Note that the Audit track expires October 17, 2021.)

The edX course description:

"The art of uncovering the insights and trends in data has been around for centuries. The ancient Egyptians applied census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science and in this course, you will meet some big data science practitioners and we will get an overview of what data science is today."

"What you'll learn:

* Definition of data science and what data scientists do
* Tools and algorithms used on a daily basis within the field
* Skills needed to be a successful data scientist
* The role of data science within a business
* How to form a strong data science team"

'''About the authors'''

The course is taught by Dr. Alex Aklson, data scientist at Digital Business Group at IBM Canada. "Alex has been intensively involved in many exciting data science projects such as designing a smart system that could detect the onset of dementia in older adults using longitudinal trajectories of walking speed and home activity. Before joining IBM, Alex worked as a data scientist at Datascope Analytics, a data science consulting firm in Chicago, IL, where he designed solutions and products using a human-centred, data-driven approach. Alex received his Ph.D. in Biomedical Engineering from the University of Toronto."

==General layout and contents of the course==
A syllabus is not made publicly available for this course. edX indicates the course involves 3–6 hours of study per week.

===The course===
[[File:PDF.png|40px|link=https://www.edx.org/course/intro-to-data-science?index=product&queryID=21dc8215e78aaa7723b7efbd4df6584f]]: The course can be found on the edX site, under the [https://www.edx.org/course/intro-to-data-science?index=product&queryID=21dc8215e78aaa7723b7efbd4df6584f Data Analysis & Statistics] category. A session will start September 5, 2021. Enrollment for the free Audit track ends October 17.