This will be an 8-week session starting June 15th to August 5th. Each week will have a two 90-minute class.
PREREQUISITES:
AGE – MINIMUM 17
GRADE – SOPHOMORE AND ABOVE WITH STRONG MATH AND STATISTICS BACKGROUND
Python and Intro to Data Science
Introduction to Python programming language
- Why Python
- Installation of Python & Anaconda.
How to write your first programs
- Basic coding skills
- How to work with data types and variables
- How to work with numeric data
- How to work with string data
- How to use five of the main Python functions
- Project: Invoice program
How to code control statements
- Coding Boolean expressions
- Coding selection structure
- Coding iterations (loops)
- How to plan a program
- Project: Future Value program
How to define and use functions
- How to define and use functions
- Write a simple function
- Single-parameter functions
- Functions that return single values
- Multiple parameters and return values
- Functions with multiple parameters
- A brief introduction to tuples
- Functions that return multiple values
- Putting it all together
Intermediate Python with Data Science
Lists
- Basic skills for working with lists
- How to work with list of lists
- Project: Movie List program
How to work with recursion and algorithms
- An introduction to recursion
- Common recursive algorithms
Matplotlib
- Basic plots with Matplotlib
- Line Plots
- Scatterplots
Histograms
- Build a histogram
- Choosing the right plot
- Customizing plots
Dictionaries and Pandas
- Creating dictionaries
- Access dictionary
- Dictionary Manipulation
- Pandas
- Dictionary to DataFrame
- CSV to DataFrame
- Square Brackets
- loc and iloc
Logic, Control Flow and Filtering
- Comparison Operators
- Equality
- Greater and less than
- Boolean Operators
- and, or, not
- if, elif, else
- Filtering pandas DataFrames
Loops
- while loop
- for loop
- Loop Data Structures
- Loop over dictionary
- Loop over NumPy array
- Loop over DataFrame
Using iterators
- Iterators vs iterables
- Iterating over iterables
- Iterators as function arguments
- Using enumerate
- Using iterators to load large files into memory
- Processing and extracting large amounts of data
List comprehensions
- Basic list comprehensions
- Advanced list comprehensions
- Generator expressions