LII:Python for Data Science - Revision history

Shawndouglas: Updated

2023-01-09T22:11:52Z

Updated

← Older revision		Revision as of 22:11, 9 January 2023
Line 6:		Line 6:
	'''License for content''': Unknown		'''License for content''': Unknown

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

	This is a UC San Diego course that is released on the edX platform. The 10-week course "that will introduce you to a collection of powerful, open-source, tools needed to analyze data and to conduct data science." The course is free to take, with a Verified Certificate of completion available for $350. (Note that the free Audit track expires ~~November 19~~, ~~2022~~.) The course requires on average eight to 10 hours a week of effort.		This is a UC San Diego course that is released on the edX platform. The 10-week course "that will introduce you to a collection of powerful, open-source, tools needed to analyze data and to conduct data science." The course is free to take, with a Verified Certificate of completion available for $350. (Note that the free Audit track expires March 20, 2023.) The course requires on average eight to 10 hours a week of effort.

	The edX course description:		The edX course description:
Line 40:		Line 40:
	"What you'll learn:		"What you'll learn:

	* Skip What you'll learn
	* Basic process of data science		* Basic process of data science
	* Python and Jupyter notebooks		* Python and Jupyter notebooks
Line 48:		Line 47:

	===The course===		===The course===
	[[File:PDF.png\|40px\|link=https://www.edx.org/course/python-for-data-science-2]]: The course can be found on the edX site, under the [https://www.edx.org/course/python-for-data-science-2 Data Analysis & Statistics] category. Access to the class began ~~September 2022~~ and ends ~~November 22~~, with the free audit track closing ~~November 19, 2022~~. Another session will begin on ~~December 6~~.		[[File:PDF.png\|40px\|link=https://www.edx.org/course/python-for-data-science-2]]: The course can be found on the edX site, under the [https://www.edx.org/course/python-for-data-science-2 Data Analysis & Statistics] category. Access to the class began January 2023 and ends March 24, with the free audit track closing March 20. Another session will begin on April 4.

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

Shawndouglas: Updated

2022-09-10T18:04:32Z

Updated

← Older revision		Revision as of 18:04, 10 September 2022
Line 8:		Line 8:
	'''Publication date''': 2022		'''Publication date''': 2022

	This is a UC San Diego course that is released on the edX platform. The 10-week course "that will introduce you to a collection of powerful, open-source, tools needed to analyze data and to conduct data science." The course is free to take, with a Verified Certificate of completion available for $350. (Note that the free Audit track expires ~~March 7~~, 2022.) The course requires on average eight to 10 hours a week of effort.		This is a UC San Diego course that is released on the edX platform. The 10-week course "that will introduce you to a collection of powerful, open-source, tools needed to analyze data and to conduct data science." The course is free to take, with a Verified Certificate of completion available for $350. (Note that the free Audit track expires November 19, 2022.) The course requires on average eight to 10 hours a week of effort.

	The edX course description:		The edX course description:
Line 48:		Line 48:

	===The course===		===The course===
	[[File:PDF.png\|40px\|link=https://www.edx.org/course/python-for-data-science-2]]: The course can be found on the edX site, under the [https://www.edx.org/course/python-for-data-science-2 Data Analysis & Statistics] category. Access to the class began ~~December 2021. Note~~ the free audit track ~~closes March 7~~, 2022.		[[File:PDF.png\|40px\|link=https://www.edx.org/course/python-for-data-science-2]]: The course can be found on the edX site, under the [https://www.edx.org/course/python-for-data-science-2 Data Analysis & Statistics] category. Access to the class began September 2022 and ends November 22, with the free audit track closing November 19, 2022. Another session will begin on December 6.

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

Shawndouglas: Cats

2022-02-09T20:10:38Z

Cats

← Older revision		Revision as of 20:10, 9 February 2022
Line 51:		Line 51:

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

Shawndouglas: Created as needed.

2021-12-27T19:46:02Z

Created as needed.

New page

[[File:EdX.svg|right|240px]]
'''Title''': ''Python for Data Science''

'''Author for citation''': Leo Porter and Ilkay Altintas

'''License for content''': Unknown

'''Publication date''': 2022

This is a UC San Diego course that is released on the edX platform. The 10-week course "that will introduce you to a collection of powerful, open-source, tools needed to analyze data and to conduct data science." The course is free to take, with a Verified Certificate of completion available for $350. (Note that the free Audit track expires March 7, 2022.) The course requires on average eight to 10 hours a week of effort.

The edX course description:

"In the information age, data is all around us. Within this data are answers to compelling questions across many societal domains (politics, business, science, etc.). But if you had access to a large dataset, would you be able to find the answers you seek?"

"Specifically, you'll learn how to use:

* Python
* Jupyter notebooks
* pandas
* numpy
* matplotlib
* git
* and many other tools.

You will learn these tools all within the context of solving compelling data science problems.

After completing this course, you'll be able to find answers within large datasets by using python tools to import data, explore it, analyze it, learn from it, visualize it, and ultimately generate easily sharable reports. By learning these skills, you'll also become a member of a world-wide community which seeks to build data science tools, explore public datasets, and discuss evidence-based findings."

NOTE: This course is part of an overall Data Science MicroMasters program offered by UC San Diego.

'''About the authors'''

The instructors for this course are [https://www.edx.org/bio/leo-porter Leo Porter] and [https://www.edx.org/bio/ilkay-altintas Ilkay Altintas]. See each professor's profile for full details.

==General layout and contents of the course==
No syllabus is publicly provided. The EdX page notes:

"What you'll learn:

* Skip What you'll learn
* Basic process of data science
* Python and Jupyter notebooks
* An applied understanding of how to manipulate and analyze uncurated datasets
* Basic statistical analysis and machine learning methods
* How to effectively visualize results"

===The course===
[[File:PDF.png|40px|link=https://www.edx.org/course/python-for-data-science-2]]: The course can be found on the edX site, under the [https://www.edx.org/course/python-for-data-science-2 Data Analysis & Statistics] category. Access to the class began December 2021. Note the free audit track closes March 7, 2022.