Statistics Prerequisite

2025 Summer Session C 8 weeks, June 23 - August 15
#12330

Foundations of Data Science

Jeremy Sanchez
Jun 23, 2025 - Aug 15, 2025
Mo, Tu, We, Th, Fr
11:00 am - 11:59 am
Jun 23, 2025 - Aug 15, 2025
Fr
12:00 pm - 12:59 pm

Instruction Mode: In-Person Instruction

Time Conflict Enrollment Allowed

No Open Seats
STAT C8 - LEC 001 Foundations of Data Science more detail
Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.
2025 Summer Session C 8 weeks, June 23 - August 15
#12553

Introductory Probability and Statistics for Business

Jun 23, 2025 - Aug 15, 2025
Su
12:00 am - 12:01 am
Internet/Online

Instruction Mode: Online

Time Conflict Enrollment Allowed

No Open Seats
STAT 21 - LEC 001 Introductory Probability and Statistics for Business more detail
Descriptive statistics, probability models and related concepts, sample surveys, estimates, confidence intervals, tests of significance, controlled experiments vs. observational studies, correlation and regression.
2025 Summer Session C 8 weeks, June 23 - August 15
#12318

Introduction to Probability and Statistics

Jeremy Sanchez
Jun 23, 2025 - Aug 15, 2025
Tu, We, Th
04:00 pm - 04:59 pm

Instruction Mode: In-Person Instruction

Open Seats

7 Unreserved Seats

STAT 20 - LAB 101 Introduction to Probability and Statistics more detail
For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.
2025 Summer Session C 8 weeks, June 23 - August 15
#12317

Introduction to Probability and Statistics

Jeremy Sanchez
Jun 23, 2025 - Aug 15, 2025
Mo, Tu, We, Th
02:30 pm - 03:59 pm

Instruction Mode: In-Person Instruction

Open Seats

7 Unreserved Seats

STAT 20 - LEC 001 Introduction to Probability and Statistics more detail
For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.
2025 Summer Session C 8 weeks, June 23 - August 15
#12705

Concepts of Probability

Jun 23, 2025 - Aug 15, 2025
Mo, Tu, We, Th
04:00 pm - 04:59 pm

Instruction Mode: In-Person Instruction

No Open Seats
STAT 134 - DIS 104 Concepts of Probability more detail
An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions.
2025 Summer Session C 8 weeks, June 23 - August 15
#12323

Concepts of Probability

Jun 23, 2025 - Aug 15, 2025
Mo, Tu, We, Th
03:00 pm - 03:59 pm

Instruction Mode: In-Person Instruction

No Open Seats
STAT 134 - DIS 103 Concepts of Probability more detail
An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions.
2025 Summer Session C 8 weeks, June 23 - August 15
#12322

Concepts of Probability

Jun 23, 2025 - Aug 15, 2025
Mo, Tu, We, Th
03:00 pm - 03:59 pm

Instruction Mode: In-Person Instruction

No Open Seats
STAT 134 - DIS 102 Concepts of Probability more detail
An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions.
2025 Summer Session C 8 weeks, June 23 - August 15
#12321

Concepts of Probability

Jun 23, 2025 - Aug 15, 2025
Mo, Tu, We, Th
02:00 pm - 02:59 pm

Instruction Mode: In-Person Instruction

No Open Seats
STAT 134 - DIS 101 Concepts of Probability more detail
An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions.
2025 Summer Session C 8 weeks, June 23 - August 15
#12320

Concepts of Probability

Alexander Strang
Jun 23, 2025 - Aug 15, 2025
Mo, Tu, We, Th
12:30 pm - 01:59 pm

Instruction Mode: In-Person Instruction

No Open Seats
STAT 134 - LEC 001 Concepts of Probability more detail
An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions.
2025 Summer Session C 8 weeks, June 23 - August 15
#12456
DATA C8 999L - LAB 999L offered through Data Science Undergraduate Studies

Foundations of Data Science

Instruction Mode: In-Person Instruction

Open Seats

38 Unreserved Seats

DATA C8 - LAB 999L Foundations of Data Science more detail
Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.