Tentative schedule.
THIS MAY CHANGE.
Assignments in red (or marked with four asterisks - ****) are required and due on that day.
|
Date |
Class Topic and Activity |
Assignment(s) Due |
|
Week 1 Wednesday, January 16, 2019 |
Intro to class Introduction to Big Data Analytics Data Analytics Lifecycle Intro to lab environment 2015 Big Data “must have skills” Ongoing Big Data Opportunities |
Read Participant Guide: Module 1 · Lesson 1: Big Data and its characteristics (corresponding with slides 11-42) · Lesson 2: Business value from Big Data (43-58) · Lesson 3: Data scientist (59-69) Get a free Google account. (or use
the one you already have). For
your web site, you MUST name your site NIU<znumber>. So for example, my site would be named
NIUz035098. And you MUST choose
“Classic Sites”, not “new”. (UNLESS
you have a different web page, at which point please tell me here). ·
Here is Web page Video I to help you with
your Web page
Begin Lab 1 |
|
Week 2 Wednesday, January 23, 2019 |
CLASS ONLINE ONLY DUE TO WEATHER – *** 6
items needed for success in 1-23-19's online class! ** [Continue] |
Read Participant Guide: Module 2 · Lessons: Data analytics lifecycle overview (72-127) **** Register email, code, group, background. **** (10 points off Participation for each week not completed) **** Google Web Site.
10 points off Participation if not completed **** |
|
Week 3 Wednesday, January 30, 2019 |
CLASS ONLINE ONLY DUE TO WEATHER – *** 4 items needed for success in 1-30-19's online class! ** Basic Data Analytics Methods Using R |
**** Quiz 1: Big Data Analytics and
Data Analytics Lifecycle (covering 4 Module 1 and Module 2 Participant Guide
Lessons listed on schedule, Lab 1, and class discussions) Read Participant Guide: Module 3: · Lesson 1: Introduction to the R programming language (130-148) |
|
Week 4 Wednesday, February 6, 2019 |
No physical classroom meeting tonight. Class on 2/6/19 is ONLINE ONLY. *** 5 items needed for success in
2-6-19's online class! ** Optional (short!) Readings: Looking back: What experts said in 2017: · Top Ten Big Data Trends for 2017 What they said in 2016: · Top Eight Big Data Trends of 2016 |
Read Participant Guide: Module 3: · Lesson 2: Analyzing and exploring data (149-165) · Lesson 3: Statistics for model building and evaluation (166-185) |
|
Week 5 Wednesday, February 13, 2019 |
Advanced analytics—theory and methods |
**** Quiz 2: Data
Analytics Methods Using R (covering 3 Module 3 Participant Guide Lessons
listed on schedule since Quiz 1, Labs 2 & 3, and class discussions) Read Participant Guide: Module 4 · Lesson 1: K-Means Clustering (192-204) |
|
Week 6 Wednesday, February 20, 2019 |
BH 300 Guest Speaker –
Stephen Stoyan, Director of Business
Analytics and Strategy at Abbott: “How data and advanced analytical
techniques are used to drive business value in marketing science and the
supply chain”. |
BH 300 *** Attendance required *** Class today is only from 7:00 to 8:30 p.m. Please bring a web-enabled device. |
|
Week 7 Wednesday, February 27, 2019 |
[Continue] |
Read Participant Guide: Module 4 · Lesson 2: Association Rules (205-225) · Lesson 3: Linear Regression (226-243) |
|
Week 8 Wednesday, March 6, 2019 |
[Continue] Best ROC curve explanation I’ve found (watch the video) Here is my ROC Curve example in Excel |
Read Participant Guide: Module 5 ·
Lesson 1:
Logistic Regression (244-259) (end)**** Quiz 3:
Clustering, Association Rules, Linear & Logistic Regression
(covering 4 Participant Guide Lessons listed on schedule since Quiz 2, Labs
4-6, and class discussions) (nothing specific on
Lab 7, but otherwise Logistic Regression is eligible) |
|
Wednesday, March 13, 2019 |
*Spring Break – No class* |
|
|
Week 9 Wednesday, March 20, 2019 |
Advanced analytics—theory and methods |
Read Participant Guide: Module 6 ·
Lesson 1:
Naive Bayes (277-295) · Lesson 2: Decision Trees (296-313) |
|
Week 10 Wednesday, March 27, 2019 |
[Continue] InfoGain calculations for the Golf example in Lab 9 Check out this site for helpful, iterative regular expression building / learning. |
Read Participant Guide: Module 6 ·
Lesson 3:
Time Series (314-335) Module 7 · Lesson 1: Text Analysis (260-276) |
|
Week 11 Wednesday, April 3, 2019 |
Advanced analytics—technology and tools Google Cloud’s
use of MapReduce Optional: Want more?
Take
a Lynda Hadoop course (FREE for NIU students… choose “sign In” and then
enter your NIU login) |
**** Project decision deadline: Groups must have declared project choice by
this date (penalty for not doing so:
-5 points on Final Project) **** Quiz 4:
Decision Trees, Naïve-Bayes, Time Series Analysis, and Text Analytics
(covering 4 Participant Guide Lessons listed on schedule since Quiz 3, Labs
8-10, and class discussions) Read Participant Guide: Module 8 ·
Lesson 1: Introduction to advanced
analytics—technology and tools (338-367) ·
Lesson 2:
Hadoop Ecosystem (368-386) |
|
Week 12 Wednesday, April 10, 2019 |
[Continue] Check out this site for helpful, iterative regular expression building / learning. Good regex explanation with examples of escaping with a backslash |
Read Participant Guide: Module 8 · Lesson 3: In-database Analytics SQL Essentials (387-408) · Lesson 4: Advanced SQL and MADlib (409-433) |
|
Week 13 Wednesday, April 17, 2019 |
Project preparation. Final project tips. Note: Your final projects will be the “Final Lab” in your Lab Guide. |
**** Quiz 5:
MapReduce, Hadoop, and In-Database Analytics (covering 4 Participant
Guide Lessons listed on schedule since Quiz 4, Labs 11 & 12, and class
discussions) Read Participant Guide: Module 9 ·
Lesson 1:
Putting it all together, project presentation tips, data visualization
(437-491) |
|
Week 14 Wednesday, April 24, 2019 |
Project Presentations *** Please sign up here BY
MAY 8 if you would like a voucher to take the full ($75) EMC Education
Services DEA-7TT2 Data Science and Big Data Analytics Exam (this is NOT what
you are taking for your Final Exam… that one is free) ***
|
Presentation
Order: Group 10: KY Group 8: CA Group 6: IL Group 4: IN Break Group 9: MT Group 3: NY Group 2: WY Group 5: WI |
|
Week 15 Wednesday, May 1, 2019 |
****Final Exam, Wednesday, May 1, 2019 The final will be a combination of the EMC
35 question free certification exam and 15 repeat questions from our
quizzes this semester. If you score
70% (NOTE:
THIS WAS LOWERED… ANY PASSING SCORE RECEIVES CERTIFICATION AND
THEREFORE THE 5 POINT BONUS) or higher on the EMC exam, you earn EMC
Academic Associate recognition. If you receive this certification, you will
also get a 5 point bonus added to your Final Exam
score (e.g., score 25/35 on EMC portion and 15/15 on quiz repeat questions,
you would have 40/50=80% on the Final Exam.
EXCEPT, since your 25/35 is good for certification, you would get a
bump to 45/50=90% for the Final Exam). Take a practice exam here. Your organization is “Dell EMC Partner/Customer” and your Company Name is “Northern Illinois University” Thinking of taking the full certification exam, EMC
Education Services DEA-7TT2 Data Science and Big Data Analytics Exam? Sign
up here (you'll need to create an account and get a voucher from me). |
****Rate your group members!! (If you don’t do this by Wednesday May 1 at midnight, you will lose 5 participation points). **** Check the accuracy of all of your posted grades and
report any errors!! Midnight Wednesday May 1 is closing time for any
participation or grade changes for the course!! NO changes will be made after this date. Sorry, no one may
take the Final Exam early or late. If you cannot
make the date due to a valid, documented reason (NOT “I’m not ready” / “I
need to study more”, etc.), you may take an incomplete in the class, and then
take the Final Exam when you return to school next semester, at which point
your grade will also be changed. You must tell me
prior to the Final Exam if you cannot make the date. If you simply do not show up to the Final
Exam, you will receive a “0” for the Final Exam. |
|
Week 16 Wednesday, May 8, 2019 |
Optional Final Exam Opportunity #2, Wednesday, May 8,
2019 You can improve your grade
with a second certification exam attempt.
Calculate your Final Exam grade by looking up your results in the
Grades section on the 15 repeat questions, add your number correct from the
certification exam, which is your %*35 (+5 bonus correct points if you PASSED),
and multiply the total by 2 to get your score out of 100. Enter it in the online grade calculator
(Final Exam box) to calculate your Final Course Grade. Don’t like it? Come tonight and take the certification
exam again (I will use the higher of your two attempts to calculate your
final grade). |
|