Python for Scientific Research

Be taught Python Programming for analysis by doing!

This tutorial is my expertise of a few years and tens of scientific analysis of utilizing Python for analysis. After each video, you study a brand new priceless idea that you could apply straight away in your analysis. Furthermore, the very best half is that you just study by way of actual examples from completely different topics of analysis.

It helps you not solely be practitioner however affords you a chance for creativity in knowledge processing, statistics, and graph creation in scientific analysis as a result of it’s based mostly on programming which limitless in comparison with software program akin to SPSS and Excel. The sequence contains varieties, manipulation, import, and export of information. Along with descriptive statistics, relationship, multi correlation, ANOVA, and t-test. It additionally familiarizes you with primary, superior, and animated graphs. Along with capabilities, packages, directories, and others.

I’m an Assistant Professor of Distant Sensing at Soran College. GBD Collaborator on the College of Washington. I’ve greater than 10 years of expertise in Python and R programming, GEE, Huge Information, Distant Sensing/GIS, Earth Statement, and Local weather. I obtained Ph.D. diploma in Geography (Distant Sensing) on the College of Leicester. Printed round 30 peer-reviewed papers.

On the finish of the course, it is possible for you to to:

• Creatively processing knowledge, performing statistics, and creating graphs in analysis utilizing Python.
• Manipulate, import, and export knowledge.
• Carry out descriptive statistics, relationships, multi-correlation, ANOVA, and t-test utilizing Python for scientific analysis.
• You can be proficient in primary, superior, and animated graphs utilizing Python codes.
• Learn to use jupyter pocket book for scientific analysis.

Sincerely,

Help. Prof. Azad Rasul