Intro to Statistics and Mathematical Foundation - On Demand Course Material
Understand the core statistical and mathematical tools that power data science, from probability to hypothesis testing.
Please note that this course is only available on demand and there is no meeting being held.
Welcome to Statistics and Mathematical Foundation 101! This beginner-friendly course walks you through the essential building blocks of statistics and mathematics that underpin modern data science — from describing data to making predictions.
Once registered, you’ll receive a 1-hour video lecture, annotated slides, a transcript, and a quiz to help reinforce key ideas.
This course offers you:
📚 A clear, accessible guide to statistics and math for data
📊 Tools like mean, standard deviation, distributions, and hypothesis testing
⚡ Real-world application through a smart grid energy efficiency case study
This course is for:
- Aspiring data scientists, analysts, or students
- Professionals needing a solid quantitative foundation
- Anyone working with data who wants to sharpen their conceptual toolkit
Understand the core statistical and mathematical tools that power data science, from probability to hypothesis testing.
Please note that this course is only available on demand and there is no meeting being held.
Welcome to Statistics and Mathematical Foundation 101! This beginner-friendly course walks you through the essential building blocks of statistics and mathematics that underpin modern data science — from describing data to making predictions.
Once registered, you’ll receive a 1-hour video lecture, annotated slides, a transcript, and a quiz to help reinforce key ideas.
This course offers you:
📚 A clear, accessible guide to statistics and math for data
📊 Tools like mean, standard deviation, distributions, and hypothesis testing
⚡ Real-world application through a smart grid energy efficiency case study
This course is for:
- Aspiring data scientists, analysts, or students
- Professionals needing a solid quantitative foundation
- Anyone working with data who wants to sharpen their conceptual toolkit