Yaroslav Rosokha
@ Purdue University
Computing for Analytics (MS BAIM Program, Summer 2017)
Topics
- Data Structures
- Data Visualization
- Data Analysis
- Compuataional Methods and Algorithms
- Working with Large Data Sets
Assignments
Software
Python
- Download and install 32-bit Python 2.7Anaconda Distribution
- We will primarily rely on Jupyter for classroom instruction, however other options of IDEs are available.
Additional Resources
- CS Principles: Big Ideas in Programming - Open source book for students without programming experience.
- Problem Solving with Algorithms and Data Structures - Open source book on Algorithms and Data Structures. We will cover several chapters of this book in class.
- Python Basic Tutorial - Python tutorial for students with a basic understading of computer programming.
- Python Programming for the Absolute Beginner - Python introduction for students without programming experience.
- Pandas Tutorials - A guide to pany pandas tutorials (pandas is a Python library that we will routinely use during the course).
- Intro to Python for Data Science - Free course from DataCamp.