Description
Introduction to data science by using tools and writing programs for acquiring, cleaning, analyzing, exploring, and visualizing data; making data-driven inferences and decisions; and effectively communicating results. Learning data manipulation, data analysis with statistics and machine learning, data communication with information visualization, working with big data using scalable techniques.
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?
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
Lectures
Tue 11:20-13:10 L112, Wed 10:20-11:10 H313
Textbook
(Required) Data Science from Scratch: First Principles with Python, Joel Grus, O’Reilly, ISBN: 149190142X
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
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
Name | Office Hours | |
---|---|---|
Erdoğan Doğdu | When? Where? |
Homework
Homework
Due Date
Apr 3, 2018
Apr 3, 2018
Mar 11, 2018
Feb 8, 2018
Lecture Notes
Lecture Notes
Lecture Date
Apr 24, 2018
Apr 17, 2018
Apr 11, 2018
Apr 11, 2018
Apr 11, 2018
Apr 10, 2018
Apr 4, 2018
Mar 20, 2018
Mar 20, 2018
Feb 27, 2018
Feb 14, 2018
Feb 13, 2018