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Lecture
series on Data Science
at the Department of Land
and Environmental
Engineering at PoliTO.
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Lecture
1
Course Intro
This
lecture introduces the course
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Lecture
2
Data Science
What
it is and Why it Matters
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Lecture
3
Data Processing
Cleaning
your data
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Lecture
4
Clustering
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Material
[slides]
Timetable
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Material
[slides]
Happy
Hour: Happy
Maps
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Material
[slides]
Happy
Hour: Smelly Maps
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Material
[slides]
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First
Three Home Assignments
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Lecture
5
Classification
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Lecture
6.A
Class Project + Happy Hour
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Lecture
6.B
Homework 1 |
Material
[class
homework 1]
[class
homework 2]
[class
homework 3]
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Material
[slides]
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Material
[Project Warmup
Assignment]
[Project
Description]
[class
homework 4]
Happy
Hour: Climate
Walks kkk
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Material
The Importance of Good Writing
[slides]
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Lecture 6.C
Homework 2 + Happy Hour
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Lecture
7
Presenting to Win
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Lecture
8
Show & Tell | Project Warmup
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Lecture
9
Regression |
Material
[slides]
Happy
Hour: Satellite
Data for
Environment
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Material
[what
to do before
class]
[slides]
Brainstorming
Form
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Lecture
10
Final Round | Class Projects
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Lecture
11
Finals |
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Biblio
Recommended Readings
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Material
[Past
Material]
Python
Crash Course.
Python Data Science Handbook.
Python for Data Analysis.
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