關於此課程：Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data.
製作方： Johns Hopkins University
教學方： Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
教學方： Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
教學方： Brian Caffo, PhD, Professor, Biostatistics
Bloomberg School of Public Health
| 基本信息 | 課程 3（共 10 門，Data Science Specialization ） |
| 語言 | English, 字幕：French, Chinese (Simplified), Vietnamese, Russian |
| 如何通過 | 通過所有計分作業以完成課程。 |
| 用戶評分 |
授課大綱
第 1 週
Week 1
In this first week of the course, we look at finding data and reading different file types.
9 個視頻, 4 個閱讀材料
- Reading: Welcome to Week 1
- Reading: Syllabus
- Reading: Pre-Course Survey
- 視頻: Raw and Processed Data
- 視頻: Components of Tidy Data
- 視頻: Downloading Files
- 視頻: Reading Local Files
- 視頻: Reading Excel Files
- 視頻: Reading XML
- 視頻: Reading JSON
- 視頻: The data.table Package
- Reading: Practical R Exercises in swirl Part 1
已評分: Week 1 Quiz
第 2 週
Week 2
Welcome to Week 2 of Getting and Cleaning Data! The primary goal is to introduce you to the most common data storage systems and the appropriate tools to extract data from web or from databases like MySQL.
5 個視頻
- 視頻: Reading from HDF5
- 視頻: Reading from The Web
- 視頻: Reading From APIs
- 視頻: Reading From Other Sources
已評分: Week 2 Quiz
第 3 週
Week 3
Welcome to Week 3 of Getting and Cleaning Data! This week the lectures will focus on organizing, merging and managing the data you have collected using the lectures from Weeks 1 and 2.
7 個視頻, 1 個閱讀材料
- 視頻: Summarizing Data
- 視頻: Creating New Variables
- 視頻: Reshaping Data
- 視頻: Managing Data Frames with dplyr - Introduction
- 視頻: Managing Data Frames with dplyr - Basic Tools
- 視頻: Merging Data
- Reading: Practical R Exercises in swirl Part 2
- Ungraded Programming: swirl Lesson 1: Manipulating Data with dplyr
- Ungraded Programming: swirl Lesson 2: Grouping and Chaining with dplyr
- Ungraded Programming: swirl Lesson 3: Tidying Data with tidyr
已評分: Week 3 Quiz
第 4 週
Week 4
Welcome to Week 4 of Getting and Cleaning Data! This week we finish up with lectures on text and date manipulation in R. In this final week we will also focus on peer grading of Course Projects.
5 個視頻, 2 個閱讀材料
- 視頻: Regular Expressions I
- 視頻: Regular Expressions II
- 視頻: Working with Dates
- 視頻: Data Resources
- Reading: Practical R Exercises in swirl Part 4
- Ungraded Programming: swirl Lesson 1: Dates and Times with lubridate
- Reading: Post-Course Survey
已評分: Week 4 Quiz
已評分: Getting and Cleaning Data Course Project
常見問題解答
運作方式
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
製作方
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
價格
| 購買課程 | |
|---|---|
| 訪問課程材料 | 可用 |
| 訪問評分的材料 | 可用 |
| 收到最終成績 | 可用 |
| 獲得可共享的課程證書 | 可用 |
評分和審閱
Excellent survey of data cleaning methods, good grounding in tidyverse tools, builds nicely on previous 2 courses.
Excellent once again. I'm running out of superlatives. Great job Coursera.
good. however, volume of the video is very low, not audible without external speakers on some PCs. request to improvise. spoken language is also very fast.
SH
Exellent