Com 155 entire course

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In this archive file of COM 155 Entire Course you will find the
next documents: COM 155 Assignment Identifying Errors in
Writing.doc
COM 155 Assignment Sentence Structure Review.doc
COM 155 Week 1 DQ.doc
COM 155 Week 2 DQ.doc
COM 155 Week 2 Homework.doc
COM 155 Week 3 DQ.doc
COM 155 Week 4 Appendix E.doc
COM 155 Week 4 DQ.doc
COM 155 Week 4 Video Transcript.doc
COM 155 Week 5 DQ.doc
COM 155 Week 5 HW.doc
COM 155 Week 6 DQ.doc
COM 155 Week 6 HW.doc
COM 155 Week 7 DQ.doc
COM 155 Week 7 HW.doc
COM 155 Week 8 Appendix F.doc
COM 155 Week 8 DQ.doc
COM 155 Week 9 DQ.doc
COM 155 Week 9 Final.doc
Computer Science - General Computer Science
Objective
The general instructions for this project can be found in the
Week 6 Lecture material. The Week 6 Lecture describes the
assignment and provides an overview of the project as a
whole. There are no step-by-steps for the course project.

2. The following are grading criteria for this project.
Guidelines
Organize the Data
Data imported from SalesData.csv text file located in Course
Project Materials in DocSharing. Professional formatting
follows the formatting guidelines we studied during the first
week of class. Documentation sheet added to provide
author, purpose, and date and provide information about
each of the sheets you will create as you analyze the data. At
least one calculated field added and copied to all cells in the
worksheet.
Analyze the Data
Analyze the data in at least three different ways. Each form
of Data Analysis should be provided on a separate,
appropriately labeled worksheet. It is expected that each
sheet will be professionally formatted and clearly
documented with titles, comments, and explanation.
Remove any extra sheets so your workbook is as compact as
possible when you turn it in. Go back and review your labs
for assistance in completing the different types of analysis.
The following are some examples of analysis you might wish
to do:
Sort by discount level. Have discounts increased sales
volumes? Is there any discount level that appears to be more
effective than others? Graph sales over time to see trends.
Are there any peaks and lows in sales? Is there any time of
year in which sales are highest? Lowest? Pivot the data to see
total sales by quarter, country, category, and salesperson.
Are there any highs? Are there any lows that need to be
addressed? Subtotal the data. How are quarterly sales
totals? Sales totals by salesperson? By Country? Challenge

3. Option: Perform What-If Analysis. What if prices were raised
by a certain percentage with a slight decline in sales? What
combination of price increases and decline in sales makes
most sense?
Present your Conclusions in a Report
Use the integration techniques we worked on in the course
to develop a report (Word document) that includes data and
graphs copied and pasted from your spreadsheet. You will
turn in both your Recommendation Report and your
spreadsheet. (There is an Excel Project Template in
DocSharing, Course Project Materials, to help you formulate
your report. The yellow-lined information provides an
explanation of what should be included in each section of the
report.)
Your report will focus one paragraph on each of the Data
Analysis sheets in your workbook. Explain the type of
analysis you completed, the conclusions you drew, and a
recommendation based on the analysis. (45 points)
You should include a final paragraph that explains three
things you learned about using Excel for data analysis. (15
points)
It is a good idea to begin thinking about your eventual career
as early as possible. This means that the school you pick is
going to have the courses and degree that you seek. Check
with the college's admissions director in order to verify they
have the courses that you need to take....
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