Data Mining Discussion

Project Based Midterm
You have been asked by management (manufacturing, healthcare, retail, financial, etc. ) to create a demo using a data analytic or BI tool. It is your responsibility to download and produce outputs using one of the tools. You will need to focus your results on the data set you select.
Ensure to address at least one topic covered in Chapters 1-5 with the outputs. The paper should include the following as Header sections:
Introduction
History of Tool [Discuss the benefits and limitations]
Review of the Data [What are you reviewing?]
Exploring the Data with the tool
Classifications Basic Concepts and Decision Trees
Classifications Alternative Techniques
Summary of Results
References
Types of Data Analytic Tools

https://www.octoparse.com/blog/top-30-big-data-tools-for-data-analysis/
Excel with Solver, but has limitations
R Studio
Tableau Public has a free trial
Microsoft Power BI
Search for others with trial options

Examples of Dataset:https://www.forbes.com/sites/bernardmarr/2016/02/12/big-data-35-brilliant-and-free-data-sources-for-2016/#4b3e96f1b54d
At least 2 sources from the UC library must be used.
You are being graded on the utilization of scholarly sources as well as proper formatting with APA7 formatting. Proper in-text citations must be used as well as a references page that starts on its own new page. This will account for 20% of the overall midterm grade.

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