##About this course
The course is for non-programmers and non-stat audiences. It consists of games, graphics, and examples to familiarize you with the terms of in Data Science This course is a prerequisite for Part 2, which goes into much detail about topics of data science. Thanks to Mathmatters for providing us the venue.
Pre-req and preparations:
* Please bring your laptop.
* Class notes
https://notebooks.azure.com/shivgan3/libraries/PythonClassesNYCBootcamphttps://docs.google.com/presentation/d/1LmBC6uq2iZPDSnqjdaZqILkDJjl4SB-97ARgPFEejHE/edit?usp=sharing
Key takeaways:
* Introduction to Python Foundations of programming;
* Python built-in Datatypes
* Concept of mutability and theory of different Data structures
* Control flow statements: If, Elif and Else
* Definite and Indefinite loops: For and While loops
* Writing user-defined functions in
* Classes, a touch of object-oriented programming.
* Read and write Text and CSV files
* List comprehensions and Lambda
* Parsing information with Python
Prepares you for part 2 of the class:
* Python modules: Matplotlib, Numpy, Pandas, Scipy.
* Regular Expressions
* Machine Learning concepts such as different algorithms, train/test split, cross-validation
* Statistical Hypothesis Testing
##About the Instructor
Shivgan Joshi
929 346 5046