Statistics: Analysis and Inference - Online Course

Statistics: Analysis and Inference - Online Course

Learn how to understand data and make smart decisions in our 'Statistics: Analysis and Inference' course!

By NextGen learning

Date and time

December 31, 2024 · 8pm - June 30 · 10:30am PST

Location

Online

Refund Policy

Contact the organizer to request a refund.

About this event

  • Event lasts 180 days 13 hours

Course Curriculum

  • Module 01: The Realm of Statistics
  • Module 02: Basic Statistical Terms
  • Module 03: The Center of the Data
  • Module 04: Data Variability
  • Module 05: Binomial and Normal Distributions
  • Module 06: Introduction to Probability
  • Module 07: Estimates and Intervals
  • Module 08: Hypothesis Testing
  • Module 09: Regression Analysis
  • Module 10: Algorithms, Analytics and Predictions
  • Module 11: Learning From Experience: The Bayesian Way
  • Module 12: Doing Statistics: The Wrong Way
  • Module 13: How We Can Do Statistics Better

(See full curriculum)

Frequently asked questions

What is the main focus of the "Statistics: Analysis and Inference" course?

This course explores key statistical concepts, covering data analysis, probability, distributions, estimation, hypothesis testing, regression, and predictive analytics. It also examines common statistical errors and ways to improve statistical reasoning for accurate decision-making.

Do I need prior knowledge of statistics to enrol in this course?

No prior statistical knowledge is required. The course begins with fundamental concepts, introducing key terms and data handling techniques before progressing to more advanced topics like probability, hypothesis testing, and regression analysis.

What will I learn in the module on binomial and normal distributions?

This module explains binomial and normal distributions, their properties, and how they model real-world data. You will learn to interpret probability distributions, understand their applications, and assess how they influence decision-making in various fields.

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