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Data Analysis in the Real World

Description:

How are data-driven decisions put into practice in the real world? How do these decisions differ when applied to different sectors, such as health care, education and government? This intermediate-level course will provide answers to these questions as well as recommendations for decision-making based on data analytics for each sector. The course will begin with an introduction of Big Data, then continue into a deeper dive on its implications within each sector. Industry case studies make the concepts applicable in the real-world.

Duration:  5 hours

Content:

  • Explain the management implications of the use of business intelligence and knowledge management systems
  • Define Big Data and describe its current uses for analysis and future potential and its implications
  • Explain common analytics for business and quality improvement
  • Recommend manufacturing business decisions based on data analytics
  • Explain common analytics used in health care
  • Recommend health care decisions based on data analytics
  • Explain common analytics used in education
  • Recommend educational decisions based in data analytics
  • Explain common analytics used in government
  • Recommend governmental decisions based on data analytics

0.5 CEUs offered.

Members : USD 115.00

Non-members : USD 150.00

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Data Analysis in the Real World
Begin self-paced component package.
Begin self-paced component package. This course will take 300 minutes.
CEU
0.50 CEUs credits  |  Certificate available
0.50 CEUs credits  |  Certificate available CEUs offered.