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Viewing outcome relationships between DATA 110 - INTRODUCTION TO DATA ANALYTICS and 152 - Data Analytics - Tools and Techniques

Last approved: Fri, 19 Apr 2024 16:32:54 GMT

Last edit: Fri, 19 Apr 2024 16:32:51 GMT

152 - Data Analytics - Tools and Techniques
DATA 110 - INTRODUCTION TO DATA ANALYTICS
  • PLO 1: Understand the benefits and privacy issues with using Big Data.
    • CLO 6: Describe common legal and ethical issues with the collection and processing of data sets.
    • CLO 7: Explain the potential shortcomings of a statistical model.
    • CLO 8: Describe how bias from fairness in finance, medicine, and society and lead to incorrect or distorted conclusions.
  • PLO 2: Utilize the industry common tools to mine large data sets for relationships and other insights.
    • CLO 2: Make use of the appropiate data visualization method to meet the analytical goal.
  • PLO 3: Utilize visualization techniques to discover useful information within large data sets and communicate them to an appropriate audience.
    • CLO 2: Make use of the appropiate data visualization method to meet the analytical goal.
    • CLO 3: Construct statistical models and employ simulation techniques in decision problems.
    • CLO 4: Develop an analytic model and trend line, and then predict the last n-tile data to evaluate effectiveness.
  • PLO 4: Understand the purpose of machine learning and related artificial intelligence algorithms in analyzing large data sets.
    • CLO 4: Develop an analytic model and trend line, and then predict the last n-tile data to evaluate effectiveness.
    • CLO 5: Describe supervised and unsupervised machine learning with sentiment analysis in data analytics applications.
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