Note: Please remove/replace the items in Red and Italics.
Data Analytics
Student Name
Professor Professor Name
Assignment Name
Date
Executive Summary
Please provide a 250 word description of your project. Include in Assignment 2 and
update for each assignment thereafter.
Table of Contents
Project Scope (Updated/revised from Assignment 1) ................................................................... 4
Problem Description ................................................................................................................................ 4
Business Understanding ......................................................................................................................... 4
Organization ..................................................................................................................................... 4
Stakeholders ...................................................................................................................................... 4
Define Business Area .............................................................................................................................. 4
Business Objectives ........................................................................................................................ 4
Business Success Criteria ............................................................................................................. 4
Background................................................................................................................................................. 5
Research ............................................................................................................................................. 5
Gaps in this Problem Resolution ................................................................................................ 5
Proposed Project ....................................................................................................................................... 5
Key Performance Indicators ........................................................................................................ 5
Project Insights of your Data Analysis .................................................................................... 5
Project Milestones .................................................................................................................................... 6
Completion History .................................................................................................................................. 6
Lessons Learned ....................................................................................................................................... 6
Data Set Description ................................................................................................................................ 8
High-Level Data Diagram ............................................................................................................ 8
Data Definition/Data Profile ........................................................................................................ 8
Data Preparation/Cleansing/Transformation .................................................................................... 9
Data Preparation .............................................................................................................................. 9
Data Cleansing ................................................................................................................................. 9
Data Transformation ...................................................................................................................... 9
Data Analysis ................................................................................................................................... 9
Data Visualization ................................................................................................................................. 10
Data Visualization 1 .................................................................................................................... 10
Data Visualization 2 .................................................................................................................... 10
Data Visualization 3 .................................................................................................................... 10
Proposed Visualizations ............................................................................................................. 10
Predictive Models .................................................................................................................................. 12
Predictive Model 1 ...................................................................................................................... 12
Predictive Model 2 ...................................................................................................................... 12
Predictive Model 3 ...................................................................................................................... 12
Predictive Model Review .......................................................................................................... 13
Final Results ............................................................................................................................................ 14
Analysis Justification .................................................................................................................. 14
Findings ........................................................................................................................................... 14
Review of Success ....................................................................................................................... 14
Recommendations for Future Analysis ................................................................................. 14
References ................................................................................................................................................ 15
Project Scope (Updated/revised from Assignment 1)
Problem Description
Assignment 2
Please describe the problem.
Please describe why the problem is important.
Provide at least 3 paragraphs with 6 sentences each
Final Statement: The data analytics problem that I am analyzing is THEN IN
YOUR OWN WORDS DESCRIBE
Business Understanding
Assignment 2
Please describe the Industry that this problem relates to.
This is an executive summary for the Business Understanding section that includes
Organization, Stakeholders, Business Area, Business Objectives, Business Success
Criteria.
Provide at least 2 paragraphs with 6 sentences each.
Organization
Assignment 2
Please describe the Organization(s) or types of Organizations that this problem relates
to.
Provide at least 2 paragraphs with 6 sentences each.
Stakeholders
Assignment 2
Please describe the stakeholders
Please describe at least 3 different stakeholder roles
Provide at least 2 paragraphs with 6 sentences each.
Define Business Area
Assignment 2
Provide at least 1 Paragraph 6 sentences
Business Objectives
Assignment 2
Provide at least 3 business objectives through 3 paragraphs with 6 sentences each
Business Success Criteria
Assignment 2
Describe three success factors for this Project.
CSFs define the factors that must be in place to deliver the project goals. These answer
the questions of:
• What factors are likely to lead to our desired outcome?
• What conditions must exist to create that outcome?
• What tools do we need to achieve our goals?
• What skills do we need to achieve our goals?
Provide at least at least 2 paragraphs with 6 sentences each.
Background
Assignment 2
Provide at least 1 paragraph with 6 sentences
Research
Assignment 2
Please describe what others have done regarding this problem.
Provide at least 1 paragraph with 6 sentences
Gaps in this Problem Resolution
Assignment 2
Please describe the gap in research or what others have done for this problem.
Provide at least 1 paragraph with 6 sentences
Proposed Project
Assignment 2
Please describe why you are doing this project
Provide at least 2 paragraphs with 6 sentences each
Key Performance Indicators
Assignment 2
Identify four success factors for this Project.
A key performance indicator (KPI) is a value used to measure effectiveness of the
project solution or the data analysis.
Provide at least 5 paragraphs (an introduction paragraph and 1 paragraph per
indicator). c Each paragraph should have 6 sentences each.
Project Insights of your Data Analysis
Assignment 2
Please describe what you expect for results and conclusions
Provide at least 3 paragraphs with 6 sentences each
Project Milestones
Describe the major milestones you will perform for this Project.
Completion History
Assignments 2 - 6
Week 1
Describe the tasks that you completed.
Week 2
Describe the tasks that you completed.
Week 3
Describe the tasks that you completed.
Week 4
Describe the tasks that you completed.
Week 5
Describe the tasks that you completed.
Week 6
Describe the tasks that you completed.
Week 7
Describe the tasks that you completed.
Week 8
Describe the tasks that you completed.
Week 9
Describe the tasks that you completed.
Week 10
Describe the tasks that you completed.
Week 11
Describe the tasks that you completed.
Lessons Learned
Assignments 2 - 6
Week 1
Describe what you learned this week. c This can be either positive or
negative items.
Week 2
Describe what you learned this week. c This can be either positive or
negative items.
Week 3
Describe what you learned this week. c This can be either positive or
negative items.
Week 4
Describe what you learned this week. c This can be either positive or
negative items.
Week 5
Describe what you learned this week. c This can be either positive or
negative items.
Week 6
Describe what you learned this week. c This can be either positive or
negative items.
Week 7
Describe what you learned this week. c This can be either positive or
negative items.
Week 8
Describe what you learned this week. c This can be either positive or
negative items.
Week 9
Describe what you learned this week. c This can be either positive or
negative items.
Week 10
Describe what you learned this week. c This can be either positive or
negative items.
Week 11
Describe what you learned this week. c This can be either positive or
negative items.
Week 12
Describe the lessons learned from this project.
Data Set Description
Assignment 2
Describe the proposed Data Sets. You must include at least two data sources. c If you
select a data set from a proposed area you must include a data set from another source.
Each dataset should include a description and analysis of the data sets that you will
be using. Within the section you will describe the data sets and justify the use of the
data sets for the project. Include the proposed process to combine the data sets.
Provide at least 3 paragraphs with 6 sentences each
High-Level Data Diagram
Assignment 2
Provide a graphical representation of the relationships between data and data sets.
Provide a textual summary for the diagram.
Data Definition/Data Profile
Assignment 2
Provide at least 2 paragraphs with 6 sentences each summarizing data.
Table describing each variable including definition, data type, potential quality issues. c
Data Preparation/Cleansing/Transformation
Describe fully the data preparation and data cleansing to be done on the data sets.
For this portion of the project, you should fully examine the features included in
your data sets to determine which would be appropriate for the models development
(which comes later).
Data Preparation
Assignment 3
Describe the process and tools that you will use to prepare the data.
Provide at least 3 paragraphs with 6 sentences each.
Data Cleansing
Assignment 3
Describe the process and tools that you will use to cleanse the data.
Provide at least 3 paragraphs with 6 sentences each.
Data Transformation
Assignment 3
Create and describe at least one additional feature to be used in the analysis.
Relate why this new feature is important to the project.
Provide at least 3 paragraphs with 6 sentences each.
Data Analysis
Assignment 3
Describe the tools you are going to use for the analysis (visualizations and
predictive models).
Provide rationale why these tools are the appropriate ones.
Provide at least 4 paragraphs with 6 sentences each.
Data Visualization
Present the results of the data visualizations you have created (create at least
three). What insights do they provide? c What did you discover that alters the scope
of expected results of the project? What additional ones could be useful?
Data Visualization 1
Assignment 4
Show the visualization.
Provide at least 3 paragraphs with 6 sentences each describing the visualization.
Provide at least 2 paragraphs with 6 sentences each describing the insights of the
visualization.
Provide at least 2 paragraphs with 6 sentences each describing what you discovered
that alters the scope of expected results of the project.
Data Visualization 2
Assignment 4
Show the visualization..
Provide at least 3 paragraphs with 6 sentences each describing the visualization.
Provide at least 2 paragraphs with 6 sentences each describing the insights of the
visualization.
Provide at least 2 paragraphs with 6 sentences each describing what you discovered
that alters the scope of expected results of the project.
Data Visualization 3
Assignment 4
Show the visualization.
Provide at least 3 paragraphs with 6 sentences each describing the visualization.
Provide at least 2 paragraphs with 6 sentences each describing the insights of the
visualization.
Provide at least 2 paragraphs with 6 sentences each describing what you discovered
that alters the scope of expected results of the project.
Proposed Visualizations
Assignment 4
Propose at least two additional visualizations.
Provide at least 4 paragraphs with 6 sentences each describing the visualization and
why it would be valuable.
Predictive Models
Present the results of at least three predictive models created. Provide comparisons
of the models and appropriate conclusions. What do you recommend for the
champion model and why?
Predictive Model 1
Assignment 5
Show the Model.
Provide at least 3 paragraphs with 6 sentences each describing the model.
Provide and describe the appropriate results. Use appropriate tables.
Provide at least 2 paragraphs with 6 sentences each describing the insights of the
model.
Provide at least 2 paragraphs with 6 sentences each describing what you discovered
that alters the scope of expected results of the project.
Predictive Model 2
Assignment 5
Show the Model.
Provide at least 3 paragraphs with 6 sentences each describing the model.
Provide and describe the appropriate results. Use appropriate tables.
Provide at least 2 paragraphs with 6 sentences each describing the insights of the
model.
Provide at least 2 paragraphs with 6 sentences each describing what you discovered
that alters the scope of expected results of the project.
Predictive Model 3
Assignment 5
Show the Model.
Provide at least 3 paragraphs with 6 sentences each describing the model.
Provide and describe the appropriate results. Use appropriate tables.
Provide at least 2 paragraphs with 6 sentences each describing the insights of the
model.
Provide at least 2 paragraphs with 6 sentences each describing what you discovered
that alters the scope of expected results of the project.
Predictive Model Review
Provide at least 3 paragraphs with 6 sentences comparing and contrasting the models.
Provide at least 2 paragraphs with 6 sentences recommending, with supporting
rationale, the champion model.
.
Final Results
Analysis Justification
Assignment 6.
Provide at least 6 paragraphs with 6 sentences each justifying the analysis performed.
Findings
Assignment 6.
Provide at least 6 paragraphs with 6 sentences each
Tables welcomed
Review of Success
Assignment 6.
Provide at least 6 paragraphs with 6 sentences each evaluating the success of the
analysis to meet the project scope, business success factors and key performance
indicators defined in Assignments 1 and 2.
Recommendations for Future Analysis
Assignment 6.
Provide at least 6 paragraphs with 6 sentences each
References
Please provide at least 5 references in APA format which are cited for each
assignment.
Brady, N., Palmes, P., & Walsh, J. (2015). Using a Big Data Analytics Approach to
Unlock the Value of Refrigeration Case Parametric Data. ASHRAE
Transactions, 121(2), 1-8.
Erwin Jr., R. W. (2015). Data Literacy: Real-World Learning Through Problem-Solving
With Data Sets. American Secondary Education, 43(2), 18.
Fiaidhi, J. (2014). The Next Step for Learning Analytics. IT Professional, 16(5), 4-8.
doi:10.1109/MITP.2014.78
IBM. (n.d.). IBM Academic Initiatiavie. https://www-
304.ibm.com/ibm/university/academic/pub/page/cloud_program
Reyes, J. (2015). The skinny on big data in education: Learning analytics simplified.
Techtrends: Linking Research & Practice to Improve Learning, 59(2), 75-80.
doi:10.1007/s11528-015-0842-1
Venkatraman, A. (2014). Uni boosts students' job prospects with IBM Academic Skills
Cloud. Computer Weekly, 8.
