DAT 205 MODULE FOUR

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Southern New Hampshire University *

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T4339

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Industrial Engineering

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Feb 20, 2024

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docx

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4

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DAT 205 Module Four Data Analytics Lifecycle Template Instructions Fill in the tables below for each section. The tables will expand as you type. You may also insert images into the tables by using the copy and paste or Insert Picture features. Create a diagram of the phases of the data analytics lifecycle (DAL). Briefly describe the key points of what occurs during each phase. Discovery- This phase is about learning about the issue and collecting data from sources about the issue. Preparation- This Phase is used to preprocess the data before analysis, and it makes sure the data is viable and error-free. Model Planning- This is when the data is explored deeper, where relationships and connections are formed, and where analytics is performed. Model Building-This is when data sets are developed for testing and what tools will be used for running the model. Communicate Results- This is when the interpretation of the project is determined. Key aspects of data are noted, and they present their findings effectively. Operationalize- Select one phase of the DAL. Communicate results Describe a data analyst’s role in your chosen phase. The data analysts role in this phase is to prepare the data effectively to present your findings. Which means making the data presentable to be viewed that can convey the findings in a comprehensible manner. Cite all references in APA format. 1
Wiley. (2015). Data Science and Big Data Analytics: Discovering, analyzing, visualizing and presenting data. O’Reilly Online Learning. https:// learning.oreilly.com/ library/view/data- science-and/ 9781118876138/10_cha pter- 02.html#c02-01 Wiley. (2015). Data 2
Science and Big Data Analytics: Discovering, analyzing, visualizing and presenting data. O’Reilly Online Learning. https:// learning.oreilly.com/ library/view/data- science-and/ 9781118876138/10_cha pter- 02.html#c02-01 Wiley. (2015). Data Science and Big Data 3
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Analytics: Discovering, analyzing, visualizing and presenting data. O’Reilly Online Learning. https:// learning.oreilly.com/ library/view/data- science-and/ 9781118876138/10_cha pter- 02.html#c02-01 Wiley. (2015). Data Science and Big Data Analytics: Discovering, analyzing, visualizing and presenting data. O’Reilly Online Learning. https://learning.oreilly.com/library/view/data-science-and/9781118876138/ 10_chapter-02.html#c02-01 4