Run Inference & Hypothesis Tests

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Run Inference & Hypothesis Tests

This course is part of Statistical Inference & Predictive Modeling Foundations Specialization

Instructor: Hurix Digital

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Statistical significance doesn’t always mean business impact; evaluate effect size alongside p-values.
Experiment design requires balancing Type I and Type II errors based on business risk and cost.
Statistical results must be translated into clear, actionable business recommendations.

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This course is part of the Statistical Inference & Predictive Modeling Foundations Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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Gain a foundational understanding of a subject or tool
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There are 3 modules in this course

Statistics isn't just about numbers—it's about making confident decisions that drive business success.

This Short Course was created to help data analysts accomplish statistical inference with precision and clarity. By completing this course, you'll be able to apply confidence intervals to compare conversion rates across segments, evaluate error trade-offs in experimental design, conduct hypothesis tests in Python/R, and visualize power analysis to guide decision-making. By the end of this course, you will be able to: Apply statistical rigor to business problems with measurable impact Transform raw data into statistically-backed insights Communicate findings that stakeholders trust and act upon This course is unique because it bridges statistical theory with real-world application, using authentic business scenarios from leading tech companies. To be successful in this project, you should have a background in basic statistics and programming experience in Python or R.

Apply confidence-interval estimation to compare conversion rates across segments and present the statistical significance.

What's included

3 videos1 reading1 assignment1 ungraded lab

3 videos Total 12 minutes

Why Statistical Confidence Matters in Business Decisions 2 minutes
Calculating Confidence Intervals for Conversion Rate Analysis 7 minutes
Building Confidence Intervals in Python for Segment Comparison 3 minutes

1 reading Total 12 minutes

Foundations of Confidence Interval Theory and Application 12 minutes

1 assignment Total 6 minutes

Confidence Interval Analysis Assessment 6 minutes

1 ungraded lab Total 18 minutes

Segment Performance Analysis with Statistical Confidence 18 minutes

Evaluate Type I/II error trade-offs for a proposed test and recommend appropriate alpha and beta thresholds.

What's included

2 videos2 readings2 assignments

2 videos Total 11 minutes

Calculating Optimal Alpha and Beta Thresholds 7 minutes
Implementing Error Analysis Framework in Python 4 minutes

2 readings Total 16 minutes

Understanding Type I and Type II Errors in Business Context 10 minutes
Podcast: Navigating Error Trade-offs in Real-World Business Scenarios 6 minutes

2 assignments Total 26 minutes

Strategic Error Management for Business Testing 18 minutes
Error Trade-off Analysis Assessment 8 minutes

Conduct a two-sample t-test in Python/R, interpret p-values, translate outcomes into plain-language business recommendations, and analyze test power under varying sample sizes.

What's included

3 videos1 reading2 assignments1 ungraded lab

3 videos Total 13 minutes

Why Statistical Rigor Drives Business Success 2 minutes
Implementing Two-Sample t-Tests for Business Decisions 7 minutes
Building Complete Statistical Analysis in Python 3 minutes

1 reading Total 11 minutes

Foundations of Two-Sample t-Tests for Business Analysis 11 minutes

2 assignments Total 21 minutes

Course-Level Statistical Testing and Analysis Assessment 15 minutes
Two-Sample t-Tests & Power Analysis Knowledge Check 6 minutes

1 ungraded lab Total 17 minutes

Complete Statistical Analysis with Power Optimization 17 minutes

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Instructor

Hurix Digital

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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

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