課程信息
90,014 次近期查看

第 1 門課程(共 1 門)

100% 在線

立即開始,按照自己的計劃學習。

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根據您的日程表重置截止日期。

初級

High school algebra

完成時間大約為22 小時

建議:4 weeks of study, 4-6 hours/week...

英語(English)

字幕:英語(English), 韓語

您將學到的內容有

  • Check

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

  • Check

    Create data visualizations and numerical summaries with Python

  • Check

    Communicate statistical ideas clearly and concisely to a broad audience

  • Check

    Identify appropriate analytic techniques for probability and non-probability samples

您將獲得的技能

StatisticsData AnalysisPython ProgrammingData Visualization (DataViz)

第 1 門課程(共 1 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

High school algebra

完成時間大約為22 小時

建議:4 weeks of study, 4-6 hours/week...

英語(English)

字幕:英語(English), 韓語

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 4 小時

WEEK 1 - INTRODUCTION TO DATA

10 個視頻 (總計 110 分鐘), 8 個閱讀材料, 2 個測驗
10 個視頻
(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
About Our Datasets2分鐘
Help Us Learn More About You!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 Types10分鐘
Assessment: Different Data Types10分鐘
2
完成時間為 5 小時

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
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
完成時間為 5 小時

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
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
Pitfall: Simpson's Paradox10分鐘
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
完成時間為 6 小時

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
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
Preventing Bad/Biased Samples10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
52 個審閱Chevron Right

50%

通過此課程獲得實實在在的工作福利

來自Understanding and Visualizing Data with Python的熱門評論

創建者 FGApr 4th 2019

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.

創建者 JSJan 24th 2019

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.

講師

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Brenda Gunderson

Lecturer IV and Research Fellow
Department of Statistics
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Brady T. West

Research Associate Professor
Institute for Social Research
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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....
Statistics with Python

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