Dobrin Marchev

I found the textbook to be useless. I ended up purchasing several other statistics textbooks on my own. 1 Columbia University: Arts & Sciences Spring 2023 Course: STATGR5703_001_2023_1-STATINFERENCE&MODELING : STATGR5703_001_2023_1 - STAT INFERENCE & MODELING Instructor: Dobrin Marchev

stats, counting, permutations, probability, p-value, confidence intervals, etc

basic probability concepts statistical models.

integrations, trig sub, series, sequences, improper integrals, arc length, area of surface of revolution, parametric equations, differential equations, partial fractions, usub, trig integrals

Graphical and numerical summaries, probability, theory of sampling distributions, linear regression, analysis of variance, confidence intervals and hypothesis testing. Quantitative reasoning and data analysis. Practical experience with statistical software. Data-collection/analysis project with emphasis on study designs.

Probably won't take it if it's not a mandatory course. There are a lot of courses far more valuable than this one. What's the point of taking 2 statistics courses for a data science student? The contents can definitely be combined into one and save tons of time and energy for students. 1 Columbia University: Arts & Sciences Fall 2022 Course: STATGR5703_001_2022_3-STATINFERENCE&MODELING : STATGR5703_001_2022_3 - STAT INFERENCE & MODELING Instructor: Dobrin Marchev

Dumbed-down AP Statistics with minimal calculus

I think I learned pretty well in this class. I have learned how to compute probability, how to compute the expected value, how to calculate confidence interval etc.

Basic stats for grad school and research

Descriptive statistics, statistical inference, distributions, random variables, linear regression, etc.