Parametric and nonparametric hypotheses testing using Python 3 advanced statistical libraries with real world data
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Be able to confidently compute test statistical hypotheses using Python 3
Be able to interpret your tests results and draw conclusions from the data
Leverage Python as a Data scientist tool to solve hypotheses testing problems
This comprehensive Testing Statistical Hypotheses in Data science with Python 3 curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Testing Statistical Hypotheses in Data science with Python 3 course:
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Course Instructor
Luc Zio
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
View Current Pricing
Check provider for latest offers
Pricing may vary. Check the course provider for current promotions and exact pricing.
Testing Statistical Hypotheses in Data science with Python 3 isn't for you? Don't worry, explore these courses and advance your skills or learn something totally new.
