CIS362
Preview: CIS362 : Data Analytics I
Course Guide
Prerequisites
Course Description
Instructional Materials
Course Learning Outcomes
CIS 261; MAT 210 or MAT300
This course provides students with a comprehensive foundation in the field of data science and its
application to decision making. It focuses on using computational methods and statistical techniques
to analyze massive amounts of data. It also teaches students to identify and deploy appropriate
modeling and tools to extract meaningful information from big data.
Required Resources
zyBooks. 2019. Fundamentals of Data Analytics (Python). CIS362 zyBooks webtext available at
https://www.strayerbookstore.com/
Purchase your activation code at the Strayer University Bookstore.
All course readings are included in your zyBook inside the Blackboard course shell.
Note: It is crucial that you purchase and activate zyBooks and complete the required activities
and labs in order to succeed in this course. You must activate zyBooks through the link in
Blackboard – Week 1 (do not go directly to the zyBooks website).
Ⓒ2020 Strayer University. All Rights Reserved. This document contains Strayer University Confidential and Proprietary
information and may not be copied, further distributed, or otherwise disclosed in whole or in part, without the expressed
written permission of Strayer University.
NOTE: The links in this document do not function. Please refer to your course to
view/download linked content.
Weekly Course Schedule
Week 1 - To Do List
zyBooks: Read Chapter 1 in Fundamentals
of
Data
Analytics
(Python) with zyBooks.
zyBooks: Complete zyBooks Ch 1 Participation Activities.
zyLabs: Complete zyLabs Ch1 Lab Activities.
Discuss: Introduce yourself and participate in the discussion, Applications for Data Visualization.
Week 2 - To Do List
zyBooks: Read Chapter 2 in Fundamentals
of
Data
Analytics
(Python) with zyBooks.
zyBooks: Complete zyBooks Ch2 Participation Activities.
Evaluate existing tools to acquire, clean, and process data.
1
Use statistical methods to summarize data and identify relationships.
2
Prove or disprove hypotheses based on analysis of data.
3
Assess the outcome of data analysis using descriptive statistics and
visualization.
4
Ⓒ 2020 Strayer University. All Rights Reserved. This document contains Strayer University Confidential and Proprietary
information and may not be copied, further distributed, or otherwise disclosed in whole or in part, without the expressed
written permission of Strayer University.
Week 2 - To Do List
zyLabs: Complete zyLabs Ch2 Lab Activities.
Discuss: Participate in the discussion, Statistics and Decision Making.
Week 3 - To Do List
zyBooks: Read Chapter 3 in Fundamentals
of
Data
Analytics
(Python) with zyBooks.
zyBooks: Complete zyBooks Ch3 Participation Activities.
Discuss: Participate in the discussion, Misconceptions About Probability Theory.
Week 4 - To Do List
zyBooks: Read Chapter 4 in Fundamentals
of
Data
Analytics
(Python) with zyBooks.
zyBooks: Complete zyBooks Ch4 Participation Activities.
zyLabs: Complete zyLabs Ch4 Lab Activities.
Discuss: Participate in the discussion, The Poisson Distribution in Real Life.
Week 5 - To Do List
zyBooks: Read Chapter 5 in Fundamentals
of
Data
Analytics
(Python) with zyBooks.
Ⓒ 2020 Strayer University. All Rights Reserved. This document contains Strayer University Confidential and Proprietary
information and may not be copied, further distributed, or otherwise disclosed in whole or in part, without the expressed
written permission of Strayer University.
Week 5 - To Do List
zyBooks: Complete zyBooks Ch5 Participation Activities.
zyLabs: Complete zyLabs Ch5 Lab Activities.
Discuss: Participate in the discussion, Hypothesis versus Theory.
Week 6 - To Do List
zyBooks: Read Chapter 6 in Fundamentals
of
Data
Analytics
(Python) with zyBooks.
zyBooks: Complete zyBooks Ch6 Participation Activities.
zyLabs: Complete zyLabs Ch6 Lab Activities.
Discuss: Participate in the discussion, Measures of Deviation.
Week 7 - To Do List
zyBooks: Read Chapter 7 in Fundamentals
of
Data
Analytics
(Python) with zyBooks.
zyBooks: Complete zyBooks Ch7 Participation Activities.
zyLabs: Complete zyLabs Ch7 Lab Activities.
Ⓒ 2020 Strayer University. All Rights Reserved. This document contains Strayer University Confidential and Proprietary
information and may not be copied, further distributed, or otherwise disclosed in whole or in part, without the expressed
written permission of Strayer University.
Week 7 - To Do List
Discuss: Participate in the discussion, The Chi-Square Test and Medical Research.
Week 8 - To Do List
zyBooks: Read Chapters 8 and 9 in Fundamentals
of
Data
Analytics
(Python) with zyBooks.
zyBooks: Complete zBooks Ch8 and Ch9 Participation Activities.
zyLabs: Complete zyLabs Ch8 and Ch9 Lab Activities.
Discuss: Participate in the discussion, Big Data.
Week 9 - To Do List
zyBooks: Read Chapters 10 and 11 in Fundamentals
of
Data
Analytics
(Python) with zyBooks.
zyBooks: Complete zyBooks Ch10 and Ch11 Participation Activities.
zyLabs: Complete zyLabs Ch10 and Ch11 Lab Activities.
Discuss: Participate in the discussion, Supervised and Unsupervised Learning.
Week 10 - To Do List
zyBooks: Read Chapter 12 in Fundamentals
of
Data
Analytics
(Python) with zyBooks.
Ⓒ 2020 Strayer University. All Rights Reserved. This document contains Strayer University Confidential and Proprietary
information and may not be copied, further distributed, or otherwise disclosed in whole or in part, without the expressed
written permission of Strayer University.
Week 10 - To Do List
zyBooks: Complete zyBooks Ch12 Participation Activities.
zyLabs: Complete zyLabs Ch12 Lab Activities.
Discuss: Participate in the discussion, Uses of Decision Trees.
Week 11 - To Do List
zyBooks: Read Chapter 13 in Fundamentals
of
Data
Analytics
(Python) with zyBooks.
Discuss: Participate in the discussion, Three Kinds of Lies.
Grading Scale
Participation Total Points % of Grade
Discussion Participation 220 22%
Assignment Total Points % of Grade
w01v2 - zyBooks Ch1 Participation Activities 33 3.3%
w01v3 - zyLabs Ch1 Lab Activities 50 5%
w02v2 - zyBooks Ch2 Participation Activities 33 3.3%
w02v3 - zyLabs Ch2 Lab Activities 50 5%
w03v2 - zyBooks Ch3 Participation Activities 33 3.3%
w04v2 - zyBooks Ch4 Participation Activities 33 3.3%
w04v3 - zyLabs Ch4 Lab Activities 50 5%
Ⓒ 2020 Strayer University. All Rights Reserved. This document contains Strayer University Confidential and Proprietary
information and may not be copied, further distributed, or otherwise disclosed in whole or in part, without the expressed
written permission of Strayer University.
Participation Total Points % of Grade
w05v2 - zyBooks Ch5 Participation Activities 33 3.3%
w05v3 - zyLabs Ch5 Lab Activities 50 5%
w06v2 - zyBooks Ch6 Participation Activities 33 3.3%
w06v3 - zyLabs Ch6 Lab Activities 50 5%
w07v2 - zyBooks Ch7 Participation Activities 33 3.3%
w07v3 - zyLabs Ch7 Lab Activities 50 5%
w08v2 - zyBooks Ch8 and Ch9 Participation Activities 33 3.3%
w08v3 - zyLabs Ch8 and Ch9 Lab Activities 50 5%
w09v2 - zyBooks Ch10 and Ch11 Participation Activities 33 3.3%
w09v3 - zyLabs Ch10 and Ch11 Lab Activities 50 5%
w10v2 - zyBooks Ch12 Participation Activities 33 3.3%
w10v3 - zyBooks Ch12 Lab Activities 50 5%
Totals 1000 100%
Final Course Grade
Points Percentage Grade
900 - 1000 90% - 100% A
800 - 899 80% - 89% B
700 - 799 70% - 79% C
600 - 699 60% - 69% D
0 - 599 59% and below F
Ⓒ 2020 Strayer University. All Rights Reserved. This document contains Strayer University Confidential and Proprietary
information and may not be copied, further distributed, or otherwise disclosed in whole or in part, without the expressed
written permission of Strayer University.
Unique Course Features
Grading Scale Notation
Please consult the University Catalog and your academic advisor to determine the final grade needed
in this class to satisfy your specific degree conferral requirements.
Assignments
© 2020 Strategic Education, Inc.
Lab Participation Attendance Policy
The zyBooks lab is used to support your learning in this course. However, activities completed in
zyBooks do not count for attendance. You are only given credit for attendance when you
complete one of the following tasks in Blackboard before 11:59 p.m. EST on Sunday:
submit a discussion post, complete a quiz or exam, or submit an assignment. Be sure to
complete one of these activities each week in Blackboard to be counted present.
Ⓒ 2020 Strayer University. All Rights Reserved. This document contains Strayer University Confidential and Proprietary
information and may not be copied, further distributed, or otherwise disclosed in whole or in part, without the expressed
written permission of Strayer University.
