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Putting the Science in Data Science: Fundamentals of Research Methods
Putting the Science in Data Science - online training course
 
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3-hour Online Course by Jennifer Leo
Single-user access license
Our Price: $305.00

Product Code: SC-04-A


Course Exam [Add $80.00]

Description Course Outline Exam Details
 

Research methods are critical to the process of addressing business challenges and finding solutions. Research methods and experimental design can be used across multiple disciplines to help you answer questions and inform decision making. In order to do so, it is essential that you ask the right questions, identify and use the tools that will gather rich data sources, analyze the results using statistical and coding strategies, and apply visualization techniques to illustrate and represent the findings.

Drawing on business analytics, this course will use a scientific approach to introduce the concepts, tools and skills that are critical to designing and executing experiments to solve business problems. The process of using research methods to ask questions, design experiments to test a hypothesis, identify data collection methods and techniques, and analyze the results to find business solutions will lead to more informed decision making. Using the scientific method, this process involves gathering data, determining what to do with it, and deciding how to visualize and illustrate what you have learned.

This course provides an overview of the scientific method within the context of solving business problems with the goal of introducing the key concepts, tools, and skills for practice. This course will also introduce the critical human aspects, including team composition and the soft skills that will help you to communicate the findings and publish your results. To apply the concepts learned, examples will be introduced throughout and a case study will be used to summarize the course.

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You will learn:

  • The key features of the scientific method
  • How to design an experiment
  • Criteria for selecting data collection methods
  • Strategies to analyze experimental results
  • How to launch and execute an experiment, including key factors to consider
  • Examining your results
  • Approaches to visualize finding and communicate results
  • To apply the scientific method within a business context
This course is geared towards:
  • Data Science team members
  • Business Intelligence professionals
  • Data Analytics practitioners
  • Business Analysts
  • Process improvement professionals
  • Functional business managers
  • Business transformation leaders
  • Data management professionals
  • Data governance team members
  • Operational and strategic planners

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