Description
Four major goals:
- data wrangling: how to acquire, clean, reshape or sample data so that it’s ready for further processing?
- data exploration: how to analyze the signal in a large, noisy dataset?
- prediction: can inferences and decisions be made based on the available data?
- communication: how can findings be effectively communicated to others?
General Information
http://shop.oreilly.com/product/0636920033400.do
Code: https://github.com/joelgrus/data-science-from-scratch
(Optional) Python Data Science Handbook, Jake VanderPlas, O'Reilly, 2016
(free) https://jakevdp.github.io/PythonDataScienceHandbook/
Code: https://github.com/jakevdp/PythonDataScienceHandbook
Announcements
Hello all,
Due to a meeting I have to attend, there is no class tomorrow (sorry about the late cancellation). However, there is class on Wednesday. We will talk about the project proposals on Wednesday and have one presentation; we will have one group present the article I posted. See you all on Wednesday.
Post your questions regarding your proposal here, or email me your ideas. Let's do some exiting projects that will rock the data science world. You have all the data you need on the Web and all the tools you need to extract the oil.
Cheers,
Erdoğan
The teaching staff has posted a new homework resource.
Title: Project Proposal
http://www.piazza.com/class_profile/get_resource/jde6vr6f8rk2b6/jf1omw08wtt541
Due date: Apr 3, 2018
You can view it on the course page: https://piazza.com/cankaya.edu.tr/spring2018/ceng499/resources
The teaching staff has posted a new homework resource.
Title: asg3.ipynb
http://www.piazza.com/class_profile/get_resource/jde6vr6f8rk2b6/jf1npkzqldy4pn
Due date: Apr 3, 2018
You can view it on the course page: https://piazza.com/cankaya.edu.tr/spring2018/ceng499/resources
Read the first two chapters of:
Data Science from Scratch: First Principles with Python, Joel Grus, O’Reilly, ISBN: 149190142X
Assignment will be posted tonight :-)
-Erdogan
The teaching staff has posted a new general resource.
Title: Awesome Data Science
https://github.com/bulutyazilim/awesome-datascience
You can view it on the course page: https://piazza.com/cankaya.edu.tr/spring2018/ceng499/resources
| Name | Office Hours | |
|---|---|---|
Erdoğan Doğdu | When? Where? |