Week 2
6
How AI Works
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
Date Processing
21
Reshaping Data
Week 7
22
Data Structures
23
Strings & Regular Expressions
24
Getting Data from the Web
Week 8
25
Organizing Code
Week 9
26
Web Scraping
Week 10
27
Collaboration in Data-Driven Work
28
Branches & Merges
29
Working with GitHub
30
Making Git Comfortable
Special Topics
31
Optical Character Recognition
32
Statistics
33
Reshaping Tabular Data
34
Network Analysis
35
Natural Language Processing
36
Geospatial Data
Week 2
6
How AI Works
6
How AI Works
Important
We teach this lecture with
a slide deck
.
5
Editing Files
7
Version Control Systems