The LSST-DA Data Science Fellowship program is a two year training program, designed to teach skills required for the analysis of data from the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST). Graduate students admitted to the program attend three, one-week schools per year over a two year period. This channel includes lecture recordings from the DSFP.

For more details see our webpage - https://lsstdiscoveryalliance.org/programs/data-science-fellowship/
All course content is available via GitHub - https://github.com/LSSTC-DSFP/

Session 20: The Art of Cadence Diplomacy
49:19
Session 20: The Art of Cadence Diplomacy
Session 21: Databases, SQL, and Django
54:13
Session 21: Databases, SQL, and Django
Session 21: GPU Accelerated Python
1:22:53
Session 21: GPU Accelerated Python
Session 21: High Performance Python and Parallelization
1:02:53
Session 21: High Performance Python and Parallelization
Session 21: Endgame Essentials (Object Oriented Programming)
54:02
Session 21: Endgame Essentials (Object Oriented Programming)
Session 22: Web Based Visualization
58:20
Session 22: Web Based Visualization
Session 22: Principles of Perception
56:19
Session 22: Principles of Perception
Session 22: ML Enabled Visualization
19:21
Session 22: ML Enabled Visualization
Session 22: Introduction to Visualization
55:30
Session 22: Introduction to Visualization
Session 20: Autoregression for Time Series
45:55
Session 20: Autoregression for Time Series
Session 20: Matched Filtering
53:24
Session 20: Matched Filtering
Session 20: Regression for Time Series Part 2
40:20
Session 20: Regression for Time Series Part 2
Session 20: Regression for Time Series (Part 1)
56:59
Session 20: Regression for Time Series (Part 1)
Session 20: Classical Periodogram
17:00
Session 20: Classical Periodogram
Session 20: Lomb Scargle Periodograms (Part 2)
27:36
Session 20: Lomb Scargle Periodograms (Part 2)
Session 20: Lomb Scargle Periodograms (Part 1)
36:34
Session 20: Lomb Scargle Periodograms (Part 1)
Session 21: NoSQL Databases and MongoDB
1:06:51
Session 21: NoSQL Databases and MongoDB
Session 21: Object Oriented Programming Deep Dive
33:44
Session 21: Object Oriented Programming Deep Dive
Session 21: Intro to Object Oriented Programming
36:40
Session 21: Intro to Object Oriented Programming
Session 21: Data Wranglin'
16:52
Session 21: Data Wranglin'
DSFP Session 19: Introduction to Graph Neural Networks
2:09:47
DSFP Session 19: Introduction to Graph Neural Networks
DSFP Session 19: Introduction to Convolutional Neural Networks
1:42:33
DSFP Session 19: Introduction to Convolutional Neural Networks
DSFP Session 17: PolyPhorm and PolyPhy
52:21
DSFP Session 17: PolyPhorm and PolyPhy
Session 17: Physically Based Volume Rendering
1:56:34
Session 17: Physically Based Volume Rendering
DSFP Session 17: Visual Exploration Design and Communication
1:05:15
DSFP Session 17: Visual Exploration Design and Communication
DSFP Session 16: Probabilistic Graphical Models
1:33:57
DSFP Session 16: Probabilistic Graphical Models
DSFP Session 17: Principles of Perception
1:15:14
DSFP Session 17: Principles of Perception
DSFP Session 16: Hierarchical Models
1:03:42
DSFP Session 16: Hierarchical Models
DSFP Session 16: Connecting Models and Data
54:56
DSFP Session 16: Connecting Models and Data
DSFP Session 16: Introduction to Bayesian Statistics
48:55
DSFP Session 16: Introduction to Bayesian Statistics