Python Programming for Data Science
Course Overview
Participants to understand the features of Python programming, understand the concept of variables, write simple Python programs using flow control, understand the concept of collections, learn to use two of the most frequently used Python libraries in Data Science: Numpy and Pandas, and understand program structure.
Upon completion of this course, participants will be able to understand the features of Python programming, understand the concept of variables, write simple Python programs using flow control, understand the concept of collections. Participants will be able to use Numpy and Pandas Python libraries, get to know the visualization library Matplotlib and understand program structure.
Audience Profile
This course is suitable for individuals with little or no experience in Python programming, and is particularly beneficial for those who are aiming to become data scientists.
Course Outline
Course Outline
- Introduction to Python
- Variable and Types
- Flow Control in Python
- Working with Python Collections
- Working with Python Libraries for Data Analytics
- Numpy
- Pandas
- Introduction to Matplotlib for Visualization
- Python Program Structure
- For a Better Python Program
- Style Guide Dos and Don’ts
COURSE INFORMATION
| Code | PPS |
| Duration | 2 Days |
| Full Price | RM 2,900 |
| Early Bird Price | RM 2,600 |