project
Shiva Pagadala
Hands-OnInstructionUpdated-ResidencySession.pptxDSRT734
Residency Session
Oct 9th, 2020 – Oct 11th, 2020
Dr. Charles Edeki
Agenda - Overall
Friday
Introductions
Test
Qualitative Research Review Assignment
Q&A Session
Saturday
A Deeper Look: SPSS /Excel/WEKA
Hands-on Project
Midterm Exams
Final Paper Outline
Q&A Session
Sunday
Executive Program Practical Connection
Hands-on Project
Q&A Session
Wrap Up
2
Residency Hands-On Assignment: Examples
Example -
Topic: The impact on student learning in small class sizes in the United States
Dataset: dataset_Star.csv
Resource File: R_The impact on student learning and small class sizes in the United States.pdf
File Location: “Lesson 14” folder in iLearn
**Must be APA formatted**
Title Page
Document body with citations
Reference Page
Residency Hands-on Assignment
Section 1: Discuss Topic Background (Citations are required)
Section 2: Data Analysis (SPSS, MS Excel, R Studio - R language , etc.)
Describe the fields of the dataset.
Create a summary of stats for the dataset.
Discuss the Min, Max, Median, and Mean of the continuous fields.
Discuss the Counts and Percentages of the categorical fields. (ex. Pie Chart)
Discuss any missing data elements.
Residency Hands-on Assignment
Section 3: Data Visualizations (SPSS, MS Excel, R Studio - R language - Library: ggplot2)
Graphs: Bar Plot, Box Plot, Scatter Plot, and Histogram
Label: X-Axis, Y-Axis, and Titles
Discuss: Plot, Breakout, Drilldown, and Position (only Bar Plot)
Findings: What story is presented in the visualizations?
Residency Hands-on Assignment
Section 4: Discuss Findings
Compare (Similar)
Contrast (Difference)
Conclusion of the findings
Section 5: Reference List
At least 2 References
Note: Use MS Word Document (Number of pages is not required)
Residency Hands-on Assignment
Power Point Slides:
Summarize research
Data visualizations
Applying data mining and machine learning algorithms
Findings
Conclusion
Questions
