/
Data Analytics Professional Certificate
/
Course 2
/
Module 1
Syllabus
Courses
Course Syllabus
Applied Statistics for Data Analytics
Module 1: Foundational statistical techniques
Introduction
Populations & sampling
Central tendency
Variability & skewness
Variability: range and interquartile range
Video
・
3m
Variability: variance and standard deviation
Video
・
4m
Skewness
Video
・
3m
Why use these measures?
Video
・
2m
Demo: variability and skewness
Video
・
3m
Box plots
Video
・
3m
Demo: LLMs for spreadsheet formulas & errors
Video
・
6m
Lesson 3 quiz
Practice Quiz
・
10m
Practice Lab: DJing with data - Part 2
Reading
・
30m
About the LLM Labs in this course
Reading
・
10m
Practice Lab: Using an LLM for spreadsheet formulas & errors
Reading with AI Assistant
・
30m
Correlation
Segmentation
Graded Quiz
Graded Lab
Lecture Notes (Optional)
Module 2: Probability and simulation
Introduction
Fundamentals of probability
Discrete probability distributions
Simulation
Graded Quiz
Graded Lab
Lecture Notes (Optional)
Module 3: Confidence intervals
Introduction
Inferential statistics
Confidence intervals for means
Confidence intervals for proportions
LLMs for confidence intervals
Graded Quiz
Graded Lab
Lecture Notes (Optional)
Module 4: Hypothesis testing
Introduction
Hypothesis testing for means
Other hypothesis tests
LLMs for hypothesis testing
Graded Quiz
Graded Lab
Lecture Notes (Optional)
Capstone
Course wrap up
Acknowledgments
close
Log In to continue learning
Data Analytics Professional Certificate
Join Now
Choose Your Plan
Planning for more users?
Team Plan
Learn More
Keep Current Plan
close
