Introducing Data Analytics and Analytical Thinking
About this course
Data is everywhere, but turning it into insight requires more than technical skills. You'll learn about bias and its appearance in data, sharpen your analytical thinking skills, and understand how data ecosystems operate. You’ll learn to question assumptions, interpret findings by combining data and business knowledge, and understand why data-informed decisions empower businesses. By the end of this course, you will be able to: -Discuss the use of data in everyday life decisions -Explain the data analysis process, making specific reference to the ask, prepare, process, analyze, share, and act phases -Define key concepts involved in data analytics including data, data analysis, and data ecosystem -Explain the concept of data-driven decision-making including specific examples -Describe the key characteristics of analytical thinking -Explain how analytical thinking enables decision-making -Begin asking more effective questions
75/100
CourseAsk score
- What the provider tells you
- 39/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- Discuss the use of data in everyday life decisions
- Explain the data analysis process, referencing the ask, prepare, process, analyze, share, and act phases
- Define key concepts involved in data analytics
- Describe how analytical thinking supports decision-making
Course objectives
- Understand the nature of data ecosystems
- Incorporate bias awareness in data interpretation
- Practice more effective questioning techniques
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