- Class Dates: Mondays and Wednesdays from 7-10pm
- Course Duration: (October 30th - January 18th, 2017)
- Holiday(s): November 22nd, December 25th, December 27th, January 1st
- Course materials for General Assembly's Data Science course
Instructor: Naumaan Nayyar.
Office hours:
- TBD
- Also available via Slack (#ds-sm) or Google Hangouts (by appointment)
Lesson Structure:
Class | Title | Class | Title | |
---|---|---|---|---|
Lesson 1 | What is Data Science | Lesson 11 | Clustering | |
Lesson 2 | Research Design & Pandas | Lesson 12 | Decision Trees / Random Forest | |
Lesson 3 | Statistics Fundamentals pt. 1 | Lesson 13 | NLP with Classification | |
Lesson 4 | Statistics Fundamentals pt. 2 | Lesson 14 | Dimensionality Reduction | |
Lesson 5 | Tool Review | Lesson 15 | Time Series Data | |
Lesson 6 | Intro to Linear Regression | Lesson 16 | Modeling Time Series Data | |
Lesson 7 | Evaluating Model Fit | Lesson 17 | Data Science Databases | |
Lesson 8 | Intro to Classification | Lesson 18 | Data Science Careers | |
Lesson 9 | Intro to Logistic Regression | Lesson 19 | Neural Networks | |
Lesson 10 | Communicating Model Results | Lesson 20 | Final Project Demo Day |
You will be doing four unit projects and one final project in this class. Have a look at the project timeline in the projects folder. Information about the projects will be announced in class and upploaded to the folder.
The final project should represent significant original work applying data science techniques to an interesting problem. Final projects are individual attainments, but you should be talking frequently with your instructor and classmates about them.
Address a data-related problem in your professional field or a field you're passionate about. If you have a strong interest in the subject matter, you'll create a better project and it will be a lot more fun for you!
Here's a collection of past projects from GA Data Science students that may help to stimulate your thinking. You're welcome to use Github public datasets, Kaggle Datasets or private data, though with private data, you'll have to be careful about what you release. Competing in a Kaggle competition (including past competitions) is also a project option, in which case the data will be provided for you.
- Install the latest Anaconda distribution -- Python 2.7.
- Create a GitHub account.
- Install Git and SourceTree.
- Once you receive an email invitation from Slack, join our "ds-sm team" and add your photo!
Start with your Windows or Mac Terminal app:
Type the following into your terminal...
- Navigate to the folder in which you have your python notebook (using
cd
). - Run
jupyter notebook 'filename.ipynb'
(Alternatively, you can runjupyter notebook
and browse for the file using the web interface) - Kill Jupyter after you’re done by doing a
Ctrl-C
on the same window terminal you ranjupyter notebook
from. Then type 'y' and press Enter.
General Assembly's Part-time courses are pass/fail programs. We have certain requirements in order to be considered a graduate of our programs which are outlined in our GA Catalog
- Missing no more than 2 class sessions over the duration of the course
- Completion of 80% of assigned homework
- Completion of the final project
- Participating in GA’s mid-course and end-of-course feedback surveys
All assignments must be submitted by the final day of the course in order to receive credit. When you do complete our program with passing status, you unlock our alumni perks:
- Receive a GA Letter of Completion (via email 1 week after graduation)
- $150 credit towards GA’s Classes & Workshop for 1 year from your start date (enter code: lapt1 at checkout). Please note once you are enrolled, cancellations are not permitted so please make sure you are able to attend the class or workshop prior to applying your code
- 30% off Classes and Workshops after your $150 has expired (enter code: back2school-la at checkout)
- Access to our Alumni Community:
- Check out some awesome discounts on our Alumni Perks Page
- Join our GA LA Alumni Facebook channel for networking and job opportunities
- Look out for a Monthly Alumni Newsletter sent to your email about upcoming alumni events
- Address: Santa Monica Campus: 1520 2nd St, Santa Monica, CA 90401
- Most students park in structure #8 across the street for around $6.00/night
- Santa Monica Bike Center: $15/month to park your bike accross the street
- Metro stop: Downtown Santa Monica (Metro Blue Line)