Foundational Statistics
This course will provide a practical, hands-on foundation in basic statistical analysis for the interpretation data. Topics include descriptive statistics, frequency distributions, probability theory, correlation, regression analysis, probability distributions, normal distributions, central limit theorem, t-distributions, confidence intervals, hypothesis testing, chi-square test, and one-way analysis of variance.
COURSE TOPICS
- Introduction to data-driven decision-making
- Data types
- Sample vs. Population
- Data collection methods
- Data organization through tables and graphs
- Descriptive statistics Central tendency (mean, median, mode, minimum, maximum, range, histograms)
- Variability (interquartile range, standard deviation)
- Basic probability
- Central limit theorem, confidence intervals, hypothesis testing
- Inferential statistics
- T-tests, ANOVA, correlation, linear and multiple regression
This course is eligible towards the completion of the Certificate in Data Analytics . Bundle your coursework and earn a professional credential that communicates knowledge and skills gained. Declared Certificate students receive 10% off of courses within the program.
You'll Walk Away with
- The ability to discuss how data can be leveraged throughout the various stages of a decision-making process
- The ability to read and communicate the results of an analysis
- A foundation in descriptive and inferential statistics
2 sections
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Summer 2024
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Section
001 -
Semester
Summer 2024 -
Date
May 20 - Jul 3 -
Day
M, W -
Time
12:00PM-2:00PM -
Sessions
12 -
Faculty
Benvenuto, Laura -
Location
Instructor Led
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-
-
Section
002 -
Semester
Summer 2024 -
Date
May 20 - Jul 3 -
Day
M, W -
Time
6:00PM-8:00PM -
Sessions
12 -
Faculty
Benvenuto, Laura -
Location
Instructor Led
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-
-
Section
3 -
Semester
Spring 2024 -
Date
Feb 7 - May 1 -
Day
Wednesday -
Time
6:00PM-8:00PM -
Sessions
12 -
Faculty
Yarish, Mark -
Location
Instructor Led
Tuition $995 -
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-
Section
4 -
Semester
Spring 2024 -
Date
Feb 7 - May 1 -
Day
Wednesday -
Time
6:00PM-8:00PM -
Sessions
12 -
Faculty
Benvenuto, Laura -
Location
Instructor Led
Tuition $995 -