Astronomical data analysis using Python 2021 - Astronomical data analysis using Python Lecture 8 | Yogesh Wadadekar
5.0(7)
51 learners
What you'll learn
Analyze case studies using theoretical frameworks
Create a project plan with clear milestones
Evaluate data sets to draw valid conclusions
Communicate findings in a structured report
This course includes
16.3 hours of video
Certificate of completion
Access on mobile and TV
Summary
Full Transcript
This lecture was recorded on December 6, 2021.
Download links:
Lecture slides: https://drive.google.com/file/d/1tTcwbz9SP9uaaGKW-Rp2asY7A_SxzDy4/view?usp=sharing
Jupyter notebook: https://drive.google.com/file/d/1mQAwFw4YC76hucRAfFfUkXIq7wG8Hyeh/view?usp=sharing
Python script: https://drive.google.com/file/d/1EMl-nqsAfI7eN-yD6FiCcyky9uD4wDR0/view?usp=sharing
Demo.txt: https://drive.google.com/file/d/1hjS6OgVKE9hCbD7Z873v4sdtlVauz2PN/view?usp=sharing
Assignment 2: https://drive.google.com/file/d/1RqO15Un2sBTUtCa20t6DX7-oko6V5V3w/view?usp=sharing. [Provided for self-learning; No submissions required.]
If you would like to ask any questions to the instructor regarding the course content, please use this Google form: https://forms.gle/FTiSbEEh7fDrFWdSA
The replies will be discussed in a future session or posted publicly.
Continue this lesson in the app
Install CourseHive on Android or iOS to keep learning while you move.