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The Analytical Process in the Workplace
Explore how data analytics helps in identifying trends, challenges, and opportunitiesPreview the first lesson free — get full access to all 5 lessons.
Intermediate Provider : Maureen Chisholm 5 Lessons · 11m in Arabic, English, Spanish
Course Description
The analytical process is composed of several steps, each essential to the effectiveness and efficiency of the process. Managers and their teams must start with a question—a hypothesis—they are attempting to answer, or a problem they are attempting to solve. From there, data will be used to develop potential strategies or solutions. A plan for gathering the relevant data must be determined and applied, the data collection must be analyzed using pertinent criteria, and findings must be presented to those involved or affected by the issue.
This course on the Analytical Process in the Workplace explores how data analytics can help in identifying trends, possible challenges, and opportunities. We’ll discuss how you can look for patterns and draw conclusions from your gathered data, as well as how to avoid confirmation bias or false causality. We’ll look at formal and informal ways to present your findings after reaching a conclusion, as well as how to refer back to your data to reinforce your conclusions.
What You'll Learn
- Explain the data analysis process and its essential steps in the workplace
- Identify ways that relevant data can be collected for analysis
- Look for patterns and draw conclusions from gathered data
- Avoid confirmation bias and false causality when analyzing data
- Describe how findings can be presented using formal and informal methods
- Refer back to your data to reinforce your conclusions
Key Takeaways
- The analytical process is composed of several steps, each essential to the effectiveness and efficiency of the process.
- Managers and their teams begin with a question or hypothesis to answer, or a problem to solve, and use data to develop potential strategies or solutions.
- Data analytics can help identify trends, possible challenges, and opportunities.
- Conclusions should be drawn carefully to avoid confirmation bias or false causality.
- Findings can be presented through formal and informal methods, referring back to the data to reinforce conclusions.
Frequently Asked Questions
What does this course cover?
This course explores the analytical process in the workplace, including how data analytics can identify trends, challenges, and opportunities, how to look for patterns and draw conclusions, how to avoid confirmation bias or false causality, and how to present findings.
Who is this course for?
It is designed for managers and their teams who start with a question or problem and use data to develop potential strategies or solutions.
What skills will I gain from this course?
You will develop skills in Data Analysis, Data Collection, and Presentations.
What topics are covered in the lessons?
The lessons include Introduction, Planning Your Analysis, Analyzing Data and Reaching a Conclusion, Presenting Your Results, and a Test Your Knowledge assessment.
How are findings presented after reaching a conclusion?
The course looks at both formal and informal ways to present your findings, as well as how to refer back to your data to reinforce your conclusions.
