MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance. This course presents the fundamentals of inference in a practical approach for getting things done. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data.
Completing this course will count towards your learning in any of the following programs:
- Data Science: Statistics and Machine Learning Specialization
- Data Science Specialization
What You Will Learn
- Understand the process of drawing conclusions about populations or scientific truths from data
- Describe variability, distributions, limits, and confidence intervals
- Use p-values, confidence intervals, and permutation tests
- Make informed data analysis decisions
Syllabus
WEEK 1
Probability & Expected Values
This week, we'll focus on the fundamentals including probability, random variables, expectations and more.
WEEK 2
Variability, Distribution, & Asymptotics
We're going to tackle variability, distributions, limits, and confidence intervals.
WEEK 3
Intervals, Testing, & Pvalues
We will be taking a look at intervals, testing, and pvalues in this lesson.
WEEK 4
Power, Bootstrapping, & Permutation Tests
We will begin looking into power, bootstrapping, and permutation tests.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.