A nice series of lectures from MIT on the 20th century history of physics (Maxwell's equations, light quantisation, etc.) by David Kaiser. Recorded in fall 2020, just recently shared on their OpenCourseWare youtube channel:

• Lecture 1: Introduction to Einstein, Oppenheimer, Feynman
• Faraday, Thomson, and Maxwell: Lines of Force in the Ether
• Lecture 4: waves in the ether
• Lecture 5: Einstein and experiment
• Lecture 8: rethinking light
• Lecture 9: rethinking matter

Seminar by Tony Travis, hosted by Royal Society Of Chemistry (2022-06-17)

• Part 1
• Part 2
• Part 3

These videos were produced for the National Science Foundation by the California Institute of Technology in the 1950's.

Via 3quarksdaily.

Via 3quarksdaily

There's also a Youtube playlist.

Published during Ramadan 1441
إنتاج المركز الإعلامي لمشيخة الأزهر الشريف

I suggest you try to avoid using the Youtube website or Youtube's mobile apps. Instead, if you use the Youtube URL, watch their videos using a client outside of Google's control, such as Invidious or a desktop client like mpv or VLC, or a mobile app like NewPipe.

For safe-keeping, I have also downloaded copies of these videos onto my Nextcloud instance. You can play the videos from there in your browser, or download them locally to your own computer.

Note that the playlist on Youtube is missing two episodes.

12 videos by Al-Azhar Al-Shareef on Hajj and its rituals

• الإحرام
• الأمور التي يَحرم على المحرم فعلها
• صفة الطواف بالبيت الحرام
• أحوال الحائض في [#الحج](https://shaarli.chepec.se/./add-tag/الحج)
• الحج بالنيابة عن الآخر
• عدد مرات [#الحج](https://shaarli.chepec.se/./add-tag/الحج)
• حج المرأة عن الآخر
• يوم عرفة
• المقصود بالوقوف على عرفات
• الأضحية
• الاشتراك في الأضحية
• الفرق بين الرجل والمرأة في أفعال الحج

Use data to your advantage. In this Learning Playlist, Dr Mike Pound will help you understand how to refine your data, clean up datasets, visualise the information & extract meaningful knowledge from your dataset.
Using R.

• Trailer
• Introduction to data analysis
• What is data?
• Data visualisation
• Cleaning data
• Data transformation
• Data reduction
• Principal component analysis
• Clustering
• Classifying data
• Data regression