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Introduction to data science. Concepts of statistical thinking. Topics include random variables, sampling distributions, hypothesis testing, correlation and regression. Visualizing, analyzing and interpreting real world data using Python. Computing labs required.
5
UnitsOptional
Grading1, 2
PasstimeNone
Level LimitLetters and science
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not transparent about grades and puts everything in the last minute without emailing students about finalized grades. ended week 10 AND grade submissions on GOLD with several assignments ungraded still. did not respond to emails.
BEST pstat professor. Very generous on extra credit for midterm and finals(about 20% so u can score 120% possibly). Course itself is pretty challenging but he actually tests your understanding of the materials rather than trick you. Very friendly and accessible outside of class. I know multiple students got 105%+ in the end of the quarter
By far the best PSTAT prof, took for 10 and 120b, explains what are on lectures also gives out hints in review sections on what to review and what topics are most likely to be on the exams. Did not perform the best in 120b although that was completely my fault. Would 100% choose him for any future classes.
Love Natido. Lectures are kinda confusing and lecturing style is slightly disorganized. Nonetheless, his grading criteria is extremely clear. Lists exam topics and there is lots ec from attendance and bonus problems. For ex, i got a raw score of 64 on the midterm, bumped up to 85. He wants you to succeed and its certainly doable in this course!
Professor Natido is great. Plan to take again.
chill, witty guy. Accent is a little hard to understand but his lectures are very straight-forward and non-confusing. About 5 homework assignments, 3 exams total. Exams are VERY similar to the homework and he is always willing to help. Tons of curve and extra cred too. Great guy and class!