02-05-2023, 01:52 AM
Python A-Z: Learn Python for Scientific Research by Doing
Python A-Z: Learn Python for Scientific Research by Doing
Rating: 4.0 out of 5
(14 ratings)
5,474 students
1.5 hours on-demand video
2 articles
1 downloadable resource
Description
Learn Python Programming for research by doing!
This tutorial is my experience of many years and tens of scientific research of using Python for research. After every video, you learn a new valuable concept that you can apply right away in your research. Moreover, the best part is that you learn through real examples from different subjects of research.
It helps you not only be a good practitioner but offers you an opportunity for creativity in data processing, statistics, and graph creation in scientific research because it is based on programming which unlimited compared to software such as SPSS and Excel. The series includes types, manipulation, import, and export of data. In addition to descriptive statistics, relationship, multi correlation, ANOVA, and t-test. It also familiarizes you with basic, advanced, and animated graphs. In addition to functions, packages, directories, and others.
https://www.udemy.com/course/python-for-researchers/?couponCode=6C525FE8B827C0D18C30
Enjoy!
Python A-Z: Learn Python for Scientific Research by Doing
Rating: 4.0 out of 5
(14 ratings)
5,474 students
1.5 hours on-demand video
2 articles
1 downloadable resource
Description
Learn Python Programming for research by doing!
This tutorial is my experience of many years and tens of scientific research of using Python for research. After every video, you learn a new valuable concept that you can apply right away in your research. Moreover, the best part is that you learn through real examples from different subjects of research.
It helps you not only be a good practitioner but offers you an opportunity for creativity in data processing, statistics, and graph creation in scientific research because it is based on programming which unlimited compared to software such as SPSS and Excel. The series includes types, manipulation, import, and export of data. In addition to descriptive statistics, relationship, multi correlation, ANOVA, and t-test. It also familiarizes you with basic, advanced, and animated graphs. In addition to functions, packages, directories, and others.
https://www.udemy.com/course/python-for-researchers/?couponCode=6C525FE8B827C0D18C30
Enjoy!