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Data Science Project Lifecycle

Sep 3, 2021 | COMPUTER SCIENCE | 0 comments

Sep 3, 2021 | COMPUTER SCIENCE | 0 comments

Data Science Project Lifecycle

Competency
Describe the data science project lifecycle.
Scenario
Sprockets Corporation designs high-end, specialty machine parts for a variety of industries. You have been hired by Sprockets to assist them with their data analysis needs. Sprockets Management is interested in making further investments to support a complete data analytics production environment. You have been asked to produce a set of recommendations for this environment and consider all related technologies that exist.
Instructions 
John Sprocket, CEO has asked for your recommendations for investing in a comprehensive data analytics production environment for Sprockets Corporation. In a written proposal, address the following topics and justify your recommendations for products appropriate for Sprockets Corporation.
1. Provide a high-level description of what type of investments should be made in order to support a complete data analytics application environment.
2. Include technologies that should be considered in order to provide the appropriate state-of-the-art data analytics pipeline.
3. Include the following topic areas, stating advantages and disadvantages of the packages described and your recommendation. Note: you may have overlap in your packages as they can support more than one need.

Programming Languages (e.g. R, Python)
Machine Learning Libraries (e.g. Anaconda)
Extract-Transform-Load Utilities (e.g. Pentaho, Alteryx)
Databases
Graphic Support/Dashboard Analytics (e.g. Tableau, Qlikview)
BI Software and Big Data (Hadoop, Apache Spark).

Data Sets 
https://learning.rasmussen.edu/bbcswebdav/pid-5855340-dt-content-rid-151629593_1/xid-151629593_1

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