# 課程信息

103,095 次近期查看

## 25%

#### 初級

High school algebra

### 您將學到的內容有

• Properly identify various data types and understand the different uses for each

• Create data visualizations and numerical summaries with Python

• Communicate statistical ideas clearly and concisely to a broad audience

• Identify appropriate analytic techniques for probability and non-probability samples

### 您將獲得的技能

StatisticsData AnalysisPython ProgrammingData Visualization (DataViz)

## 25%

#### 初級

High school algebra

1

# WEEK 1 - INTRODUCTION TO DATA

11 個視頻 （總計 114 分鐘）, 8 個閱讀材料, 2 個測驗
11 個視頻
Understanding and Visualizing Data Guidelines3分鐘
What is Statistics?9分鐘
Interview: Perspectives on Statistics in Real Life28分鐘
(Cool Stuff in) Data8分鐘
Where Do Data Come From?12分鐘
Variable Types5分鐘
Study Design6分鐘
Introduction to Jupyter Notebooks9分鐘
Data Types in Python12分鐘
Introduction to Libraries and Data Management13分鐘
8 個閱讀材料
Course Syllabus5分鐘
Meet the Course Team!10分鐘
Resource: This is Statistics10分鐘
Course Syllabus5分鐘
Let's Play with Data!10分鐘
Data management and manipulation10分鐘
2 個練習
Practice Quiz - Variable Types30分鐘
Assessment: Different Data Types10分鐘
2

# WEEK 2 - UNIVARIATE DATA

8 個視頻 （總計 92 分鐘）, 2 個閱讀材料, 3 個測驗
8 個視頻
Quantitative Data: Histograms12分鐘
Quantitative Data: Numerical Summaries9分鐘
Standard Score (Empirical Rule)7分鐘
Quantitative Data: Boxplots6分鐘
Demo: Interactive Histogram & Boxplot4分鐘
Important Python Libraries21分鐘
Tables, Histograms, Boxplots in Python25分鐘
2 個閱讀材料
What's Going on in This Graph?10分鐘
Modern Infographics10分鐘
3 個練習
Practice Quiz: Summarizing Graphs in Words15分鐘
Assessment: Numerical Summaries10分鐘
Python Assessment: Univariate Analysis10分鐘
3

# WEEK 3 - MULTIVARIATE DATA

7 個視頻 （總計 56 分鐘）, 3 個閱讀材料, 3 個測驗
7 個視頻
Looking at Associations with Multivariate Quantitative Data7分鐘
Demo: Interactive Scatterplot2分鐘
Introduction to Pizza Assignment2分鐘
Multivariate Data Selection19分鐘
Multivariate Distributions8分鐘
Unit Testing5分鐘
3 個閱讀材料
Modern Ways to Visualize Data10分鐘
Pizza Study Design Assignment Instructions10分鐘
2 個練習
Practice Quiz: Multivariate Data10分鐘
Python Assessment: Multivariate Analysis15分鐘
4

# WEEK 4 - POPULATIONS AND SAMPLES

15 個視頻 （總計 223 分鐘）, 6 個閱讀材料, 2 個測驗
15 個視頻
Probability Sampling: Part I10分鐘
Probability Sampling: Part II15分鐘
Non-Probability Sampling: Part I10分鐘
Non-Probability Sampling: Part II9分鐘
Sampling Variance & Sampling Distributions: Part I15分鐘
Sampling Variance & Sampling Distributions: Part II7分鐘
Demo: Interactive Sampling Distribution21分鐘
Beyond Means: Sampling Distributions of Other Common Statistics10分鐘
Making Population Inference Based on Only One Sample14分鐘
Inference for Non-Probability Samples17分鐘
Complex Samples23分鐘
Sampling from a Biased Population15分鐘
Randomness and Reproducibility14分鐘
The Empirical Rule of Distribution18分鐘
6 個閱讀材料
Building on Visualization Concepts5分鐘
Potential Pitfalls of Non-Probability Sampling: A Case Study10分鐘
Resource: Seeing Theory10分鐘
Article: Jerzy Neyman on Population Inference10分鐘
Course Feedback10分鐘
2 個練習
Assessment: Distinguishing Between Probability & Non-Probability Samples10分鐘
Generating Random Data and Samples20分鐘
4.6

# 96 條評論

### 來自Understanding and Visualizing Data with Python的熱門評論

Excellent introductory course to statistics. Great use of NHANES dataset to demonstrate techniques on real dataset. I would appreciate a more demanding project at the course end.

I strongly recommend this course to those who want to begin python programming applied to statistics. It launches a very sound foundation for statistical inference theory.

### Brenda Gunderson

Lecturer IV and Research Fellow
Department of Statistics

Research Associate Professor
Institute for Social Research

### Kerby Shedden

Professor
Department of Statistics

### 關於 密歇根大学

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future....

## 關於 Statistics with Python 專項課程

This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them....

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