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Pluralsight

Certified Analytics Professional: Methodology Selection

via Pluralsight

Overview

This course covers problem-solving approaches in data analysis, including descriptive, predictive, and prescriptive analysis. It also covers software tools selection, testing approaches, and approach selection, with tips and best practices.

Knowing how to analyze data and make informed decisions is crucial in many fields today. Whether in business, healthcare, social science, or any other field, the ability to collect and analyze data is a vital skill for success. In this course, Certified Analytics Professional: Methodology Selection, you’ll gain the ability to analyze data and make informed decisions. First, you’ll explore the techniques and types of descriptive analysis, including data visualization and the advantages of descriptive analysis. Next, you’ll discover the types and advantages of predictive analysis. Finally, you’ll learn how to choose appropriate types of prescriptive analysis, as well as how to select the best software tools and testing, and approach selections for data analysis. When you’re finished with this course, you’ll have the skills and knowledge of methodology selection needed to analyze data and make informed decisions in your field.

Syllabus

  • Course Overview 0mins
  • Course Overview 2mins
  • Problem-solving Approaches 0mins
  • Problem-solving Approaches 3mins
  • Descriptive Analysis 0mins
  • Descriptive Analysis 17mins
  • Predictive Analysis 52mins
  • Predictive Analysis 0mins
  • Prescriptive Analysis 0mins
  • Prescriptive Analysis 30mins
  • Tips and Best Practices 7mins
  • Software Tools Selection 0mins
  • Testing Approaches 0mins
  • Conclusion 1min
  • Approach Selection 0mins
  • Course Introduction - Original 0mins
  • Problem-solving Approaches - Original 0mins
  • Best Practices and Tips 0mins
  • Conclusion 0mins
  • Descriptive Analysis - Original 0mins
  • Introduction to Predictive Analytics - Original 0mins
  • Prescriptive Analysis - Original 0mins
  • Tips and Best Practices - Original 0mins
  • Conclusion - Original 0mins

Taught by

Pluralsight

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