• Introduction
• Course Syllabus
  • Course Objectives
  • Lectures
  • Homework
  • Projects
  • Grades

Hi, I’m Ha!

• Common quesiton: How do I say your last name?
  • Nguyen

• Common quesiton: How do I say your last name?
  • Nguyen

penGUIN

• Another common quesiton: Where am I from?

• Another common quesiton: Where am I from?
  • Short answer: Vietnam

• Another common quesiton: Where am I from?
  • Long answer:

• Webiste: hknguyen.org
• Email: hknguyen@illinois.edu
• Office: CAB 70.
• Office Hours:
  • Wednesday 3:00 PM - 5:00 PM
  • Thursday 1:00 PM - 3:00 PM
  • Location: Illini Hall 104.

• Name: Teng Wu
• Email: tengwu2@illinois.edu
• Office: 104 Illini Hall
• Office Hours: TBD

• https://nkha149.github.io/stat385-sp2020
• You can also find the course website link on Compass.
• Course syllabus is available on the course website.

• Hands-On Programming with R, by Garrett Grolemund.
• R for Data Science, by Garrett Grolemund, Hadley Wickham.

• Part 1: Basics of R
  • R Programming
  • R Basic Plotting
  • Simple Shiny
• Part 2: Git, GitHub & RMarkdown
  • Git, GitHub
  • RMarkdown
  • GitHub Pages
• Part 3: Advanced R
  • Tidyverse package
  • Advanced Shiny

Detailed schedule can be found on the course website.

• Use of R, RStudio, and RMarkdown.
• Familiar with Git and GitHub.
• Build a personal website using GitHub Pages.
• Build 2 Shiny applications for personal portfolio.

• Example 1: hknguyen.org
• Example 2: alison.rbind.io
• Example 3: amber.rbind.io

In other words, we want you to have the skill sets to brand and sell yourself as a Data Scientist!

• 3 Lectures / Week
• 10 Homework Assignments
• 2 Projects:
  • Midterm Project
  • Final Project

• Lecture notes will be posted at least 24 hours before lecture.
• At least 1 in-class live coding session per week.
• The use of laptops and tablets is allowed in class, but not recommended.

• There will be 10 homework assignments.
• The lowest 2 homework scores will be dropped.
• Homework is:
  • Posted right after Friday lecture.
  • Due a week later, at 11:59PM on Friday.
  • Submit your homework assignment in Compass.
  • More details can be found on the Homework page on the course website.
• No late homework will be accepted.
• Homework solution will be posted on Saturday each week.

• There will be 2 projects: a midterm project and a final project.
• The Midterm Project:
  • Publish on Friday, 02/28/2020.
  • You have 1 week to work on it.
  • Due at 11:59PM on Friday, 03/06/2020.
• The Final Project:
  • Publish on Friday, 04/24/2020.
  • You have almost 3 weeks to work on it.
  • Due at 11:59PM on Wednesday, 05/13/2020
• Details regarding the projects will be posted on the Project page as the semester progresses.

You have many options to get help for this class:

• Piazza
• Office hours
• Email me at hknguyen@illinois.edu
  • From your Illinois email account (@illinois.edu)
  • Make sure your email subject line follows the format:
  • [STAT 385] <subject>

• Check out the course website.
• Sign up for Piazza.
• Installing R and RStudio.
• Read the full syllabus.
  • This is VERY important.