Learn Python For Data Science

This training program focuses on the data processing techniques of the data collected by using Python and analyzing the data to improve operation efficiency and increase the revenue of a company.

Data analysis is important in business to understand problems facing an organization and to explore data in meaningful ways. This context can then be used by decision-makers to take action with the aim of enhancing productivity and business gain.

Course Objective

The course is aimed at participants who are new to the language and even those who may not have experience with other programming languages. Participants will learn: how Python works and its place in the world of programming languages; how to work with and manipulate strings; how to perform math operations; how to work with Python sequences; how to collect user input and output results; flow control processing: how to write to and read from files; how to write functions; and how to handle exceptions.

Learning Outcome

At the completion of the training, candidates will be able to:

• Work with Variables and Simple Data Types

• Work with Lists

• Utilize if Statements

• Work with Dictionaries

• Create User Input and While Loops

• Create Functions

• Work with Files and Exceptions

Course Outline

• Setting-Up & Troubleshooting Python Installation

• Running Python Programs From A Terminal

• Variables & Data Types

• Introducing To Lists

• Working With Lists & Exercises

• If Statement

• Dictionaries

• User Input & While Loops

• Functions & Exercises

• Files and Exceptions

• Create A Project

Course Objective

• This training is targeted at sincere Python coders who want to enhance their skills in Python classes and code testing. 

• The training will take the coders to next level in coding in view of producing compact and bug-free codes. 

Learning Outcome 

At the completion of the training, candidates will be able to: 

• Work with Classes as Objects

• Work with Classes as Functions

• Work with Methods

• Work with Inheritance

• Debug Codes

• Test Codes

Course Outline

• Attributes & Rectangles

• Objects & Copying

• Time

• Functions & Modifiers

• Printing Objects

• The init Method

• The str() Method

• Operator Overloading

• Interface & Implementation

• Card Objects

• Decks & Printing

• Add, Remove, Shuffle & Sort

• Class Diagrams

• Data Encapsulation

• Debugging

• Code Testing