Fundamentals of programming for data science using R. Descriptive statistics, distributions and graphics in R. Relational database management systems including the relational model, relational algebra, database design principles and data manipulation using SQL. An introduction to the concept of big data.

Prerequisites: Math 2B or 3B with a minimum grade of C or better.

5

Units

Optional

Grading

1, 2

Passtime

None

Level Limit

Letters and science

College
Unlocks PSTAT 140 PSTAT 123 PSTAT 105 PSTATW 174 PSTAT 175 PSTAT 5H
These majors only stats
T B A
No info found
PHELP1513
M W
08:00 AM - 08:50 AM
1 / 25

PHELP1513
M W
09:00 AM - 09:50 AM
9 / 25

PHELP1525
M W
12:00 PM - 12:50 PM
6 / 25

See All
Summer 2025 . T B A
ILP 1101
M T W R
11:00 AM - 12:20 PM
Summer 2025 . T B A
PHELP1260
M T W R
11:00 AM - 12:20 PM
See All
PSTAT 10 Holmes D E Spring 2025 Total: 235
PSTAT 10 Ravat U V Winter 2025 Total: 242
See All
PSTAT 10
12 / 75 Enrolled
Principles of Data Science with R
T B A
M T W R
12:30 PM - 13:50 PM
36.1% A
PSTAT 5LS
32 / 75 Enrolled
Statistics for Life Sciences
Jack Miller 4.7
M T W R
08:00 AM - 09:20 AM
39.7% A
PSTAT 5A
18 / 75 Enrolled
Understanding Data
T B A
M T W R
08:00 AM - 09:20 AM
32.3% A
PSTAT 5A
9 / 60 Enrolled
Understanding Data
T B A
M T W R
09:30 AM - 10:50 AM
32.3% A
PSTAT 8
11 / 50 Enrolled
Transition to Data Science, Probability and Statistics
T B A
M T W R
11:00 AM - 12:20 PM
46.1% A
PSTAT 115
29 / 50 Enrolled
Introduction to Bayesian Data Analysis
Baracaldo Lan
M T W R
11:00 AM - 12:05 PM
41.9% A
PSTAT 120A
22 / 100 Enrolled
Probability and Statistics
Jack Miller 4.7
M T W R
09:30 AM - 10:35 AM
31.7% A