Week 10
28
Collaboration in Data-Driven Work
Adventures in Data Science
Overview
Required Software
Week 1
1
Research Lifecycle
2
Interacting with Computers
3
Browsing Files
4
Going Beyond Browsing
5
Editing Files
Week 2
6
How AI Works
7
Version Control Systems
8
Git Basics
9
Remote Repositories
10
The Git Workflow
11
Introduction to Datasets
Week 3
12
Introduction to R
13
Data Types
Week 4
14
Packages
15
Indexing
16
Data Forensics
17
Aggregation & Grouping
Week 5
18
Data Visualization Principles & Perception
19
Introduction to
ggplot2
Week 6
20
Dates & Times
21
Reshaping Data
Week 7
22
Data Structures
23
Strings & Regular Expressions
24
Getting Data from the Web
Week 8
25
Writing Functions
26
Control Flow
Week 9
27
Web Scraping
Week 10
28
Collaboration in Data-Driven Work
29
Branches & Merges
30
Working with GitHub
31
Making Git Comfortable
Special Topics
32
Optical Character Recognition
33
Statistics
34
Reshaping Tabular Data
35
Network Analysis
36
Natural Language Processing
37
Geospatial Data
Week 10
28
Collaboration in Data-Driven Work
28
Collaboration in Data-Driven Work
Caution
Work in Progress
We’re still developing this section and will post it soon.
27
Web Scraping
29
Branches & Merges