The Power of Statistics
Master essential statistical concepts for data analysis using Python, from probability distributions to hypothesis testing. Perfect for advanced analytics.
Master essential statistical concepts for data analysis using Python, from probability distributions to hypothesis testing. Perfect for advanced analytics.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Google Advanced Data Analytics Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Explore and analyze datasets using descriptive statistics
Apply probability distributions to model real-world data
Use sampling methods to draw conclusions about large datasets
Perform hypothesis testing for statistical significance
Create and interpret confidence intervals
Communicate statistical findings effectively
Skills you'll gain
This course includes:
4.5 Hours PreRecorded video
27 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 6 modules in this course
This comprehensive course, part of the Google Advanced Data Analytics Certificate, teaches essential statistical methods for data analysis. Students learn descriptive and inferential statistics, probability theory, sampling techniques, and hypothesis testing. The curriculum includes hands-on Python programming for statistical analysis, covering topics from basic probability to advanced statistical testing. The course emphasizes practical applications in data science, preparing learners for real-world data analysis challenges.
Introduction to statistics
Module 1 · 4 Hours to complete
Probability
Module 2 · 5 Hours to complete
Sampling
Module 3 · 4 Hours to complete
Confidence intervals
Module 4 · 3 Hours to complete
Introduction to hypothesis testing
Module 5 · 4 Hours to complete
Course 4 end-of-course project
Module 6 · 7 Hours to complete
Fee Structure
Instructor
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