DAU

1. BUSC
Data Analytics Unit
BOSTON UNIVERSITY STATISTICS CLUB

2. About BUSC
•Officially recognized by the SAO Fall 2014 semester.
•Undergraduate branch of the Boston University Student Chapter in the American Statistical
Association. (BUSC-ASA)
•In the past hosted guest speaker events and a data competition.
•This semester more guest speaker events.
•+ “Data Analytics Unit”

3. About BUSC
•Mission: “engage students in activities that would be valuable and rewarding”
Goals: “
◦ Become your gateway to the plethora of statistical events happening in the Boston area and Boston University.
◦ Build a framework within which you may explore your own interests, while learning and practicing statistics and statistical tools.
◦ Connect you with professionals and experts in statistics and its applications.
◦ Create and inform of opportunities for your personal development in areas such as communication, presentation, and group work.
◦ Bring together students of diverse backgrounds and interests to socialize, connect, network, and have fun!
•More of this on ( bustats.com/about-buic/)

4. Data Analytics Unit
Data Analytics Unit
◦ Exploring Data Scientific Topics
◦ Infographics/Data Visualization ( Exploratory analysis/ communication of analysis)
◦ Data Mining (Selecting useful data algorithmically)
◦ Machine Learning (Training/Testing Data, Prediction/Classification problems)
◦ Exposure to analysis tools. (Undergraduates)
◦ SQL / Excel
◦ R / SAS
◦ Experimentation
◦ Weekly mini hands on data analysis GROUP projects.
◦ Presentation
◦ Present mini project/analysis results.
◦ Gain exposure though bustats.com + BUSC FB.

5. Data Analytics Unit
Collaboration, Team Work, Critical Thinking
Emulate real world work environment.
Ultimately join data competitions
through established platforms.

6. Data Analytics Unit
Date Topic
Feb Infographics/Visualization (Exploratory Analysis + Communication of Analysis Results) Canva.com / infogr.am
Mar SQL / Excle (Managing Data) Workshop
Mar R (The most used programing language / analysis software for data analysis + Data) Workshop
Mar Data Mining (Algorithmically selecting variables/data from Big Data)
Mar Data Mining ( Decision Trees, Neural Networks , Chains ….)
Apr Statistical Prediction ( Bias, Inference, Extrapolation, Fitted vs Predicted Values)
Apr Machine Learning (Training and Testing Sets / Prediction Classification problems)
Apr Forecasting
Apr Data Competitions (Keggle +DrivenDate)

7. Typical Meeting
Weekly meeting either Monday or Friday evenings. (7-8)
Begin after the spring break.
Introductory meeting next week, Time/Location TBA. (Vote on topics and meeting time).
Either get on mailing list via bustats.com or follow the FB page.
Stage Description Allotted time
1 Concise and Succinct Summary or Results. 10 – 15 min
2 Introduction to a Topic by the Meeting Leader. 20 – 30 min
3 Further Exploring the Topics in sub-Groups. 10 – 15 min
4 Formulating a Question/Task for your Group. 5 min
5 Final Remarks + Announcements. 5 min

8. Infographics and Data Visualization
More interesting/friendly.
Examples
FB post Infographics and other things, data is beautiful.
FOX news graphs, Financial Times, The Economist, NYT.
TED
1st Meeting Wed 18th.
Mondays after that.
0) Slide show with infographics

9. Infographics and Data Visualization
0) Slide show with infographics as they are walking in
1) Intro themselves + Into the Club and DAU (10-15)
2) The prez (30-40)
a. Video TED
b. Define and explain the importance
c. Show many cool examples from diff fields
d. Data visualization – exploratory analysis and descriptive stats (examples) R-demo
e. Infographics – communicate analysis and research. (examples)
f. + Significance to “statistical literacy”, “risk of disinformation - news”. (FOX) (Ethics)
g. (Canva.com + Infogr.am + other + links) How-to demo.
3) Workshop
1. Intro a task: Make an infographic or do some Data Visualization (Suggest Topics + Data) (Share)
4) Announcements – ASA Seminar – next topic.