This course builds essential statistical analysis capabilities for market research professionals. Learners will develop a strong understanding of statistical package functionality and master techniques for comparing group differences through hypothesis testing. You'll move beyond raw data to defensible insights by learning not just how to run a statistical test, but why it matters and what it means for the business.
Through practical, hands-on application in real-world scenarios—such as A/B testing and customer satisfaction analysis—you will build the analytical skills needed to draw statistically valid conclusions from research data. You will master the two-sample t-test in Microsoft Excel, learning to interpret key metrics like the p-value and translate them into clear, actionable business recommendations. This course provides the foundational skills to use statistical evidence to answer critical business questions, validate assumptions, and contribute to a culture of data-driven decision-making in your organization.
Understand the role and basic analytical functions of statistical packages.
涵盖的内容
1个视频1篇阅读材料2个作业
显示有关单元内容的信息
1个视频•总计8分钟
Your Analyst Toolkit: A Tour of Statistical Software•8分钟
1篇阅读材料•总计8分钟
From Business Questions to Statistical Answers with Excel•8分钟
2个作业•总计20分钟
Hands-On Learning: Exploring Descriptive Statistics in Excel•15分钟
Knowledge Check: Choosing Your Tools and Concepts•5分钟
Hypothesis Testing and Group Comparison
第 2 单元•小时 后完成
单元详情
Apply a two-sample t-test to compare groups, interpret the results, and formulate a business recommendation.
涵盖的内容
2个视频1篇阅读材料3个作业
显示有关单元内容的信息
2个视频•总计15分钟
Hypothesis Testing Explained: The T-Test and P-Value•6分钟
How-To: Run and Read a T-Test in Excel•9分钟
1篇阅读材料•总计8分钟
From Theory to Practice: T-Tests in a Professional Context•8分钟
3个作业•总计50分钟
Hands-On Learning: Comparing Two Marketing Campaigns•15分钟
Knowledge Check: Interpreting T-Test Results•5分钟
Your First Statistical Testing Portfolio Piece•30分钟
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Is financial aid available?
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