Introduction to Data Science

Mahbubul Majumder
Aug 26, 2014

Course information

Lecture: DSC 256
Time: Tuesdays and Thursdays, 5:30PM - 6:45PM
Textbook: notes and resources
many links !
Course page: Blackboard

About me

Call me Mah-bub
Office: DSC 238
Phone: (402) 554-2734
Email: mmajumder@unomaha.edu (preferable)
Office hour: Tuesdays and Thursdays, 4:00PM - 5:30PM
Add me in Linkedin

I can't eat data

Course outline

course-outline

Respond to homework0

A homewrok number zero is uploaded

Will not be graded
Be used for creating project group
Serve as testing of blackboard

Homeworks

There will be six homeworks through the semester

Each carries 15 points (total 90 points)
Can work in groups, but turn in individual work
No late homeworks !

Project Description

No exam! Submit a group project

Form group by next week
Each group consists of 4/5 students
Submit real data project
Sep 23: Abstract due
Oct 21: Draft due
Dec —-: Final project
Dec —-: Project presentation

Why project?

Most of your Interview questions will be on the project
Get your future career under shape (Faten your CV)
The reality teaches in many ways that nobody can
Be confident

How does a project die?

How do you think a project dies after you have submitted and got grades on it?

Throw it out and don't look back again
Not reproducible and lazy to do it again
Sit and see what others did on the group and you don't have a feel for it
No future plan with it
Fear competition
Don't want to participate data expo

Other assignments

Recommended reading
Class worksheets
Check blackboard !

Grading

Point distribution

          task points
      Homework     90
      Abstract     60
 Draft Project     60
 Final Project     60
  Presentation     30
         Total    300

plot of chunk grades-percent

Letter grade

Data Science lab

The data science lab location: DSC 243

Data science tools are available
Can get access to high performance computing (HCC)
Lab user manual
You can prepare your own machine (like the lab) for small task
How to prepare a data science lab !

Install R and RStudio

The data science lab has both R and RStudio installed

Get R from http://cran.r-project.org/
Install a typesetting software latex or Miktex from http://miktex.org/download
for MAC user it would be MacTex
Get RStudio desktop version from http://www.rstudio.com/
RStuio provides convenient environment. Lot more is going on than you think
Its all free

Benefit from this course

Tools and Technics of data science
How to create data product
Reproducible analysis of data
Your own data analysis project
Contribute to a data driven society
Not scared of data
Not shy of data

A sample email received yesterday

Mahbubul,

I just wanted to introduce myself. My name is X-Y-Z - I am data scientist at J-K-L and I am really excited to see that UNO is offering a Data Science Concentration. We’re looking for a data science intern(s) right now, so if you have any interested students, they can ping me. Also, I’d love to find ways to collaborate with UNO if that’s something that would be helpful or interesting to you. I hope your course goes well this semester!

X-Y

X-Y-Z
J-K-L | Data Scientist
@J-K-L | @x-y-z