Data Science Foundations: Python Scientific Stack.
(eVideo)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2022.
Format
eVideo
Status
Description
Loading Description...
Also in this Series
Checking series information...
More Details
Language
English
Notes
General Note
11/09/202212:00:00AM
Participants/Performers
Presenter: Miki Tebeka
Description
Learn about the Python scientific stack, with an emphasis on how to use it to solve problems.
Description
Join instructor Miki Tebeka as he dives into the Python scientific stack and shows you how to use it to solve problems. Miki covers the major packages used throughout the data science process: numpy, pandas, matplotlib, scikit-learn, and others. He also guides you through how to load data, analyze data, run models, and display results. This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time-all while using a tool that you'll likely encounter in the workplace. Check out the "Using GitHub Codespaces with this course" video to learn how to get started.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
Tebeka, M. (2022). Data Science Foundations: Python Scientific Stack . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Tebeka, Miki. 2022. Data Science Foundations: Python Scientific Stack. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Tebeka, Miki. Data Science Foundations: Python Scientific Stack linkedin.com, 2022.
MLA Citation, 9th Edition (style guide)Tebeka, Miki. Data Science Foundations: Python Scientific Stack linkedin.com, 2022.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
49c11cf7-1444-55a7-56a3-b22fcbd0f92d-eng
Grouping Information
| Grouped Work ID | 49c11cf7-1444-55a7-56a3-b22fcbd0f92d-eng |
|---|---|
| Full title | data science foundations python scientific stack |
| Author | tebeka miki |
| Grouping Category | movie |
| Last Update | 2024-02-07 10:25:35AM |
| Last Indexed | 2024-04-20 03:02:55AM |
Book Cover Information
| Image Source | sideload |
|---|---|
| First Loaded | Nov 22, 2022 |
| Last Used | Mar 23, 2024 |
Marc Record
| First Detected | Nov 09, 2022 04:01:44 PM |
|---|---|
| Last File Modification Time | Feb 07, 2024 10:26:47 AM |
MARC Record
| LEADER | 02221ngm a22003133i 4500 | ||
|---|---|---|---|
| 001 | LDC3084641 | ||
| 003 | LDC | ||
| 005 | 20240207135538.9 | ||
| 006 | m c | ||
| 007 | cr cna a | ||
| 008 | 240207s2022 cau145 o vleng d | ||
| 040 | |a linkedin.com|b eng | ||
| 050 | 4 | |a LDC3084641 | |
| 100 | 1 | |a Tebeka, Miki|e speaker. | |
| 245 | 1 | 0 | |a Data Science Foundations: Python Scientific Stack.|c with Miki Tebeka |
| 264 | 1 | |a Carpenteria, CA|b linkedin.com,|c 2022. | |
| 306 | |a 02h:25m:38s | ||
| 337 | |a computer|2 rdamedia | ||
| 338 | |a online resource|2 rdacarrier | ||
| 500 | |a 11/09/202212:00:00AM | ||
| 511 | 1 | |a Presenter: Miki Tebeka | |
| 520 | |a Learn about the Python scientific stack, with an emphasis on how to use it to solve problems. | ||
| 520 | |a Join instructor Miki Tebeka as he dives into the Python scientific stack and shows you how to use it to solve problems. Miki covers the major packages used throughout the data science process: numpy, pandas, matplotlib, scikit-learn, and others. He also guides you through how to load data, analyze data, run models, and display results. This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time-all while using a tool that you'll likely encounter in the workplace. Check out the "Using GitHub Codespaces with this course" video to learn how to get started. | ||
| 538 | |a Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection. | ||
| 655 | 4 | |a Instructional films.|2 lcgft | |
| 655 | 4 | |a Educational films.|2 lcgft | |
| 710 | 2 | |a linkedin.com (Firm) | |
| 856 | 4 | 0 | |u https://www.linkedin.com/learning/data-science-foundations-python-scientific-stack-17064277?u=74413684&auth=true|z View course details on linkedin.com/learning |
| 856 | 4 | 2 | |3 thumbnail|u https://media.licdn.com/dms/image/D560DAQG2_xrJ2bSZsA/learning-public-crop_288_512/0/1667582946722?e=2147483647&v=beta&t=HwAP5qVCwwb5-Ele2VXKl-rvPuhzT0rcwSfRrKLZmIg |