Instructor Information

Name	Jamie Chavez
Email	chavez@ntc.edu
Skype	jamiecchavez
Phone	715-803-1732
Office Location	A113

Office Hours

Course Information

Course Number	10-152-337
Course Name	Data Analytics
Start Date	1/26/2015
End Date	5/22/2015
Meeting Time(s)	Thursday 8:00 - 11:50 AM
Meeting Location	Wausau Campus, Room A122
Total Hours	72
Type of Instruction	Lecture (2 credits, 36 hours); Lab (1 credit, 36 hours)
Mode of Delivery	In Person

Course Description

Introduces several key technologies used to manipulate, store and analyze big data. Learners will conduct predictive analysis using data mining techniques and aggregation of big data to provide business intelligence and make focused organizational decisions. Additional topics include NoSQL, database scalability and performance metrics and tuning.

Pre/Corequisites

10-152-331 Database Concepts

Textbooks

Textbook 1
Textbook 2

Learner Supplies:

USB drive or Dropbox

Soft Skills

Communicate effectively
Develop global awareness
Act responsibly
Demonstrate integrity
Think critically and creatively
Work productively

Compentencies

Differentiate between key technologies that are used to manipulate big data
Evaluate big data case studies
Utilize decision metrics
Organize data using a data management lifecycle policy
Identify trends using predictive analysis
Use tools to manage and store big data
Extract data using mining techniques
Evaluate query performance
Apply business intelligence techniques
Use decision theory to provide focused data

Course Grading Information

Letter Grade	Requirements
A	>= 92% and meet all course competencies
A-	>= 90% and meet all course competencies
B+	>= 87% and meet all course competencies
B	>= 83% and meet all course competencies
B-	>= 80% and meet all course competencies
C+	>= 77% and meet all course competencies
C	>= 70% and meet all course competencies
D	>= 60% and meet all course competencies

10-152-337 Data Analytics Timetable

Fall 2014 - Jamie Chavez

Thursday 8:00 - 11:50 AM (Section 01)

Description	Points (1800)	Due Date	Location
1.1 Class Lab	20	2/4/2015	Learning Plan 1
1.1 Project Assignment	40	2/4/2015	Learning Plan 1
1.1 Discussion Assignment	20	2/4/2015	Learning Plan 1
1.2 Class Lab	20	2/11/2015	Learning Plan 1
1.2 Project Assignment	40	2/11/2015	Learning Plan 1
1.2 Discussion Assignment	20	2/11/2015	Learning Plan 1
1.3 Class Lab	20	2/18/2015	Learning Plan 1
1.3 Project Assignment	40	2/18/2015	Learning Plan 1
1.3 Discussion Assignment	20	2/18/2015	Learning Plan 1
2.1 Class Lab	20	2/25/2015	Learning Plan 2
2.1 Project Assignment	40	2/25/2015	Learning Plan 2
2.1 Discussion Assignment	20	2/25/2015	Learning Plan 2
2.2 Class Lab	20	3/4/2015	Learning Plan 2
2.2 Project Assignment	40	3/4/2015	Learning Plan 2
2.2 Discussion Assignment	20	3/4/2015	Learning Plan 2
2.2 Quiz	100	3/4/2015	Learning Plan 2
2.3 Class Lab	20	3/11/2015	Learning Plan 2
2.3 Project Assignment	40	3/11/2015	Learning Plan 2
2.3 Discussion Assignment	20	3/11/2015	Learning Plan 2
3.1 Class Lab	20	3/25/2015	Learning Plan 3
3.1 Project Assignment	40	3/25/2015	Learning Plan 3
3.1 Discussion Assignment	20	3/25/2015	Learning Plan 3
Test 1	210	-	Learning Plan 3
4.1 Class Lab	20	4/1/2015	Learning Plan 4
4.1 Project Assignment	40	4/1/2015	Learning Plan 4
4.1 Discussion Assignment	20	4/1/2015	Learning Plan 4
4.2 Class Lab	20	4/8/2015	Learning Plan 4
4.2 Project Assignment	40	4/8/2015	Learning Plan 4
4.2 Discussion Assignment	20	4/8/2015	Learning Plan 4
4.3 Class Lab	20	4/15/2015	Learning Plan 4
4.3 Project Assignment	40	4/15/2015	Learning Plan 4
4.3 Discussion Assignment	20	4/15/2015	Learning Plan 4
5.1 Class Lab	20	4/22/2015	Learning Plan 5
5.1 Project Assignment	40	4/22/2015	Learning Plan 5
5.1 Discussion Assignment	20	4/22/2015	Learning Plan 5
5.1 Quiz	100	4/22/2015	Learning Plan 5
5.2 Class Lab	20	4/29/2015	Learning Plan 5
5.2 Project Assignment	40	4/29/2015	Learning Plan 5
5.2 Discussion Assignment	20	4/29/2015	Learning Plan 5
6.1 Class Lab	20	5/6/2015	Learning Plan 6
6.1 Project Assignment	40	5/6/2015	Learning Plan 6
6.1 Discussion Assignment	20	5/6/2015	Learning Plan 6
6.2 Class Lab	20	5/13/2015	Learning Plan 6
6.2 Project Assignment	40	5/13/2015	Learning Plan 6
6.2 Discussion Assignment	20	5/13/2015	Learning Plan 6
6.3 Project Assignment	40	5/20/2015	Learning Plan 6
6.3 Discussion Assignment	20	5/20/2015	Learning Plan 6
Test 2	210	-	Learning Plan 6

Assessment Type	Quantity	Required to Pass*	Points	Weight
Lab Activities	14	10%	280	16%
Assignments	30	10%	900	50%
Quizzes	2	10%	200	11%
Tests	2	10%	420	23%
Total	48		1800	100%

10-152-337 - Data Analytics

Syllabus