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Data Literacy: Busting Myths of Big Data Part 1
September 24, 2018 @ 1:00 pm - 3:00 pm
FreeTHE PROFESSIONAL DEVELOPMENT INITIATIVE PRESENTS:
DATA LITERACY: BUSTING MYTHS OF BIG DATA
PART 1
Dr. Nairanjana Dasgupta, Boeing Science/Math Education Distinguished Professor in Mathematics and Statistics
In this workshop we will focus on learning about the what, when, how and whys of data. Data is pervasive these days and like it or not we have to use data to make decisions or others will make them for us. In this workshop we will start from the basics and talk about types of data and we can say and cannot say about the different types of data. We will keep it flexible and cover topics that attendees are interested in from the list below. This is not meant to replace any of your Stats classes, more of a philosophical overview of making data based decisions. Some of the topics we will cover are given below:
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- Data in general
- Data: Big or Small
- Thoughts about Big data versus Good Data
- Source of data
- Types of data
- Population versus Sample
- Experiment versus observational studies
- Exploratory and Confirmatory studies
- Making sense of of data
- Distinction: Uni-variate, Bi-variate, Multi-variate, multiple
- Graphical summary of data
- Numerical summary of data
- Measures of Center
- Measures of Spread
- Measures of the Dimensionality
- Summarizing multivariate data sets using clusters
More information on our Data Literacy: Busting Myths of Big Data Part II here
All PDI events will be available to sites other than Pullman through a web link that will be emailed to you before the event. Please make sure to register on the link below and indicate at which WSU site you are located.
Please register for the event by clicking on the following link:
