About the Course
Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.
Topics include Descriptive Statistics, Sampling and Randomized Controlled Experiments, Probability, Sampling Distributions and the Central Limit Theorem, Regression, Common Tests of Significance, Resampling, Multiple Comparisons.
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Introduction and Descriptive Statistics for Exploring Data
67 min of videos | 35 min of readings | 1 graded assignment
This module provides an overview of the course and a review of the main tools used in descriptive statistics to visualize information.
Learning Objectives
- Getting to know the course, the instructor and requirements
- Understanding the basics of descriptive statistics and its tools
- Getting familiar with important principles for visualizing information
- Ability to apply knowledge and understand descriptive statistics of real data
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Live Classes
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Getting Started
Read First - Important Information About Your Course
Course Syllabus
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Topic 2
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Welcome and Introductions
Course Welcome
Meet Guenther Walther
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Descriptive Statistics and Visualizing Information
Introduction
Pie Chart, Bar Graph, and Histograms
Box-and-Whisker Plot and Scatter Plot
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Discussion Forum
For any queries or discussions, course participants can share their thoughts here. The Forum helps connect medical professionals and interact with one another as a community.
Statistics Discussion
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Numerical Summary Measures
Mean and Median
Percentiles, the Five Number Summary, and Standard Deviation
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Summary
[EXTRA] Industry Insight: Introduction to Andrew Radin
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Assessment
Test Assessment
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Certificate
Demo Course - Statistics Certificate
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Feedback
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Topic 11
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