Python for Basic Data Analysis: Workshops & Resources

In this session, you will learn to:

1. use trinket.io to run simple Python codes
2. create and assign data to variables, and
3. utilise these functions: print(), len() and input().

1. create lists
2. manipulate strings and lists using methods
3. use comparison operators to evaluate two operands
4. use arithmetic operators to solve simple equations
5. control the flow of your Python program using if-elif-else statements, and

6. use a built-in module to generate random numbers

This workshop is for students who do not have prior programming knowledge. 

Attended Introduction to Python for Non-Programmers 1.0
or
Familiarity with Python data types & variables, and the print(), len() and input() functions

Zoom application and a web browser (Chrome or Firefox recommended) to access trinket.io, a web-based code editor.

No download is required to run Python for this workshop.

In this session, you will learn to:

1. create, read and write data
2. index, select and assign data
3. apply summary functions and maps
4. group and sort data
5. deal with common progress-blocking problems pertaining to data types and missing values
6. rename and combine data

In this session, you will learn to:

1. recognize machine learning models
2. load and understand your data
3. build your first machine learning model
4. validate your models to measure its performance
5. fine-tune your model for better performance
6. use random forest algorithm.