Covers the basics of working with text files in C programming, including opening, reading, writing, and closing files, with examples and demonstrations.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Covers macroeconomic models incorporating financial markets, analyzing financial decisions, macroeconomic events, and policy responses.
Covers the processing of data from a chemical experiment using Excel.
Covers Gaussian Mixture Models, Denoising, Data Classification, and Spike Sorting using Principal Component Analysis.
