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Course Description

By some estimates, 90% of the data that has ever existed has been created in the last two years. This is a staggering figure and has given rise to new challenges and opportunities in almost every industry: what kind of data do you need to collect to compete, and how can you make sense of it once you have collected it? As technology evolves and the volume of data increases, how can you make the best use of all this information? How can you use the data to help drive your decision-making? How can you make data work for you? How can you ensure your data accurately reflects the population in which you're interested?

In this course, you will determine the types of engineering and business questions you can answer, the kinds of problems you can solve, and the decisions you can make, all through using data analytics. You will explore best practices for collecting information so that you can make informed predictions, develop insights, and better inform organizational decision-making. You will see real-world examples that demonstrate how those tools work. Additionally, you will have a chance to apply some of the concepts to your own work. You will explore best practices for sampling and examine how different types of sampling are each suited for different situations. Finally, you will see real-world examples that demonstrate how those tools work and have a chance to practice sampling techniques in some case study scenarios.

Faculty Author

Linda Nozick

Benefits to the Learner

  • Explore how big data relates to your industry and can transform your business
  • Identify best practices for sampling and how bias can affect sampling
  • Compare advantages and disadvantages of measurement methods
  • Examine types of decision-making based on model data, insights, and outputs
  • Construct confidence intervals for sample means of randomly sampled data
  • Apply sampling techniques to estimate the mean, approximate the number of samples, and construct a 90% confidence interval

Target Audience

  • Current and aspiring data scientists
  • Analysts
  • Engineers
  • Researchers
  • Technical managers

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Type
2 week
Dates
May 22, 2024 to Jun 04, 2024
Total Number of Hours
20.0
Course Fee(s)
Standard Price $1,199.00
Type
2 week
Dates
Jul 31, 2024 to Aug 13, 2024
Total Number of Hours
20.0
Course Fee(s)
Standard Price $1,199.00
Type
2 week
Dates
Oct 09, 2024 to Oct 22, 2024
Total Number of Hours
20.0
Course Fee(s)
Standard Price $1,199.00
Type
2 week
Dates
Dec 18, 2024 to Dec 31, 2024
Total Number of Hours
20.0
Course Fee(s)
Standard Price $1,199.00
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