Average rating
4.1
16 temporary mock ratings
Difficulty
2.5
course-linked average
Courses
4
in seeded sections
Courses taught
DSCI 301
Statistics For Data Science
An introduction to mathematical statistics and computation for applications to data science. Topics include probability, random variables expectation, sampling distributions, estimation, confidence intervals, hypothesis testing and regression. A weekly lab will cover the statistical package, R, and data projects. Cross-list: STAT 315. Recommended Prerequisite(s): MATH 212. Mutually Exclusive: Cannot register for DSCI 301 if student has credit for ECON 307/STAT 310/STAT 311/STAT 312.
Data ScienceD14 credits
4.410.5hPizzo, Gina
ECON 307
Probability & Statistics
Probability and the central concepts and methods of statistics including probability, random variables, distributions of random variables, expectation, sampling distributions, estimation, confidence intervals, and hypothesis testing. Cross-list: STAT 310. Recommended Prerequisite(s): MATH 212. Mutually Exclusive: Cannot register for ECON 307 if student has credit for DSCI 301/STAT 311/STAT 312/STAT 315.
EconomicsD13 credits
3.810.4hInman, Joshua, McGuffey, Elizabeth, Muralidharan, Arya, Pizzo, Gina
STAT 310
Probability & Statistics
Probability and the central concepts and methods of statistics including probability, random variables, distributions of random variables, expectation, sampling distributions, estimation, confidence intervals, and hypothesis testing. Cross-list: ECON 307. Recommended prerequisite(s): MATH 212. Mutually Exclusive: Cannot register for STAT 310 if student has credit for DSCI 301/STAT 311/STAT 312/STAT 315.
StatisticsD13 credits
3.58.9hInman, Joshua, McGuffey, Elizabeth, Muralidharan, Arya, Pizzo, Gina
STAT 315
Statistics For Data Science
An introduction to mathematical statistics and computation for applications to data science. Topics include probability, random variables expectation, sampling distributions, estimation, confidence intervals, hypothesis testing and regression. A weekly lab will cover the statistical package, R, and data projects. Cross-list: DSCI 301. Recommended Prerequisite(s): MATH 212. Mutually Exclusive: Cannot register for STAT 315 if student has credit for ECON 307/STAT 310/STAT 311/STAT 312.
StatisticsD14 credits
4.09.3hPizzo, Gina