Statistics in Python: Import an online dataset and inspect

This video is part of a full-length course on Python programming, including 32 hours of video instruction and 80 hours of exercises. The course starts from the absolute basics (no prior knowledge of Python is necessary!) and builds up towards intermediate-level competency. Check it out here: Course topics include: - Data types - Indexing and slicing - Functions - Flow control - Text and data visualization Here’s a list of all the projects you can complete: - Project 1: Text search and replace - Project 2: The Law of Large Numbers - Project 3: Entropy of written English - Project 4: State-space trajectories - Project 5: Statistics - Project 6: Spectral analysis - Project 7: The colorful rainbow of noise - Project 8: Awesome mathy stuff - Project 9: Denoising noisy signals - Project 10: Time series filtering - Project 11: Descriptive stats without numpy - Project 12: Clustering: PCA, t-SNE, and k-means - Project 13: Index your Python code