Editing Community Data Science Course (Spring 2017) (section)

== Schedule ==

'''This section will be updated weekly'''  This section will be modified throughout the course to introduce the week's material and any hand-ins. Check back in weekly.

=== Week 1: March 30 ===

'''Readings:'''

* Python for Informatics: [http://www.pythonlearn.com/html-009/book001.html Preface] and [http://www.pythonlearn.com/html-009/book002.html Chapter 1  Why should you learn to write programs?]

'''Class Schedule:'''

* Class overview and expectations — We'll walk through this syllabus.
* [[Community_Data_Science_Course_%28Spring_2017%29/Day_1_Exercise|Day 1 Exercise]] — You'll install software including the Python programming language and run through a series of exercises.
* [[Community_Data_Science_Course_%28Spring_2017%29/Day_1_Tutorial|Day 1 Tutorial]] — You'll work through a self-guided tutorial introducing you to some basic concepts. When you're done, you'll meet with me and I'll check you off.

* A few interesting links we discussed in class are [[Community_Data_Science_Course_%28Spring_2017%29/DataSources|here]]
* Hints
** For exercise 5, look at chapter 3 of the textbook. This introduces "if" statements.

'''By the end of class you will:'''

* Have a working python environment on your personal laptop.
* Have written your first program in the python language.

=== Week 2: April 6 ===

'''Assignment Due (nothing to turn in):''' 

* Read chapters 2 and 3 of Python for Informatics: 
** [http://www.pythonlearn.com/html-009/book003.html Chapter 2, Variables, Expressions, and Statements]
** [http://www.pythonlearn.com/html-009/book004.html Chapter 3, Conditional Execution]
* Finish setup, tutorial and code academy in the [[Community Data Science Course (Spring 2016)/Day 1 Exercise|week 01 exercises]].

'''Class Schedule:'''

* Discuss a successful final project from last year.
* [[Community_Data_Science_Course_%28Spring_2017%29/Day_2_Lecture|Lecture notes]]
* Review material from last week: variables, assignments, if statements
* Introduce new material: loops and lists
* Project time — We'll begin working on the [[wordplay]] independent projects independently or in small groups.

Here are your [[Community_Data_Science_Course_(Spring_2017)/Day_2_Coding_Challenges|Exercises]]

* Sample solutions can be found here: [https://github.com/guyrt/teaching/tree/master/2017/Com597I/wordplay github]

'''By the end of class you will:'''

* Have written a program with loops and lists.
* Have a better understanding of the expectations for your final project, and be ready to hand in your initial assignment.

[https://goo.gl/forms/4hV5bMo4mHabeIEH2 Take my poll! ]

=== Week 3: April 13 ===

'''Assignment Due:'''

Final project idea (turn in on canvas)

Finish Wordplay examples

Reading
* Read chapter 4, 5 of Python for Informatics:
** [http://www.pythonlearn.com/html-009/book005.html Chapter 4, Functions] (this is mostly new)
** [http://www.pythonlearn.com/html-009/book006.html Chapter 5, Iteration] (this is mostly review)

'''Course plan:'''

* Go over last week's assignment.
* Dictionaries and aggregations [[Community Data Science Course (Spring 2016)/Day 3 Notes]]
* A break! Let's really aim for 7:30 this time.
* Statistics! Let's discuss summary statistics for a data set. The full data is [https://github.com/guyrt/teaching/tree/master/2017/Com597I/summary here] or you can download the course material as a [https://github.com/guyrt/teaching/archive/master.zip zip file]. 
* Project time — We'll begin working on a series of project based on the [http://mako.cc/teaching/2015/cdsw-autumn/babynames.zip Baby names] project.
* [[Community Data Science Course (Spring 2017)/Day 3 Coding Challenges|Day 3 Coding Challenges]]

'''Resources:'''

* [[Python_data_types_cheat_sheet]] A cheat sheet with everything we've covered in class so far including today.

=== Week 4: April 20 ===
'''Assignment Due:'''

Finish Baby Names examples.

Reading
* Read chapter 10 of Python for Informatics
** [http://www.pythonlearn.com/html-270/book010.html Chapter 10, Dictionaries] (this is review)
** [http://www.pythonlearn.com/html-270/book008.html Chapter 8, Files] (this is new)

'''Course plan:'''
[[Community Data Science Course (Spring 2017)/Day 4 Notes|Day 4 Plan]]

=== Week 5: April 26 ===

'''Assignment Due:'''

Turn in the single homework question from last week.

'''Course plan:'''

* Pivot tables!  You will need the SDOT data set from last week.
[[Community Data Science Course (Spring 2017)/Day 5 Notes|Day 5 Plan]]

=== Week 6: May 4 ===

'''Course plan: '''
* Go over challenge assignment and odds ratios again.
* downloading data from the internet using APIs  
[[Community Data Science Course (Spring 2017)/Day 6 Notes|Day 6 Plan]]

=== Week 7: May 11 ===

'''Assignment Due:'''

Final Project Proposal


'''Course plan:'''

* Visualization! [[Community Data Science Course (Spring 2017)/Day 7 Notes|Day 7 Plan]]
* Cleaning data in Python. [[Community Data Science Course (Spring 2017)/Day 7 Exercise|Day 7 Exercise]]

=== Week 8: May 18 ===

Here is the solution to last week's assignment: https://github.com/guyrt/teaching/blob/master/2017/Com597I/Week7/solution.py

'''Course plan:'''

* Introducing the ipython notebook, which is a way to write a document that includes both python and text.
* Self-guided visualization tutorial in python.  [https://github.com/guyrt/teaching/blob/master/2017/Com597I/visualization/VisualizationNotebook.ipynb Download here]  Save the file in a new directory in your desktop and open it with <code>jupyter notebook</code>
* If you have questions about your final project, or you want to spend some time on your python code while help is readily available, you can do that in class.

=== Week 9: May 25 ===

'''Course plan:'''

* Project time!

=== Week 10: June 1 ===

''' Final Project Presentation '''

''' Final project paper tentatively due June 8 '''