Hypothesis Testing with Python and Excel
Skills:
ML Maths Basics90%
Key Takeaways
Performs hypothesis testing with Python and Excel to understand business and analytics
Original Description
In today's job market, leaders need to understand the fundamentals of data to be competitive. An essential procedure to understand business and analytics is hypothesis testing. This short course, designed by Tufts University expert faculty, will teach the fundamentals of hypothesis testing of a population mean and a population proportion, using Excel and Python for calculations. You'll also discover the central limit theorem, which is essential for hypothesis testing. To conclude the course, you will apply your newfound skills by creating a plan for an experiment in your own workplace that uses hypothesis testing.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: ML Maths Basics
View skill →Related Reads
📰
📰
📰
📰
We Built the Analytics Tool We Wished Existed. Here’s Why.
Medium · AI
Advancing the Second Brain Model
Medium · Data Science
The Day I Realized Watching Tutorials Wasn’t Enough
Medium · Data Science
Enrich your datasets with business context: Migrating from legacy Topics to semantic datasets in Amazon Quick
AWS Machine Learning
🎓
Tutor Explanation
DeepCamp AI