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Key points about this course

Duration : 3 Days
Course Fee : RM 3,900.00

HRD Corp Claimable Course

Python for Data Science & AI Development
Exam Code : Not available

Live Virtual Class

Public Class

In-House Training

Private Class

Course Overview

Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.

This course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills.

By the end of this course, you’ll feel comfortable creating basic programs, working with data, and solving real-world problems in Python. You’ll gain a strong foundation for more advanced learning in the field, and develop skills to help advance your career.


Course Prerequisites

No prior programming experience required

Course Objectives

What will you learn

  • Explain Python Basics including Types, Expressions, and Variables.

  • Describe Data Structures in Python including Lists, Tuples, Dictionaries, Sets.

  • Apply Python programming using Branching, Loops, Functions, Objects & Classes.

  • Work with data in Python using Pandas and Numpy libraries and collect data using API's and web scraping

Course Content


Module 1: Python Basics

This module teaches the basics of Python and begins by exploring some of the different data types such as integers, real numbers, and strings. Continue with the module and learn how to use expressions in mathematical operations, store values in variables, and the many different ways to manipulate strings.

  • Types
  • Expressions and Variables
  • String Operations


Module 2: Python Data Structures

This module begins a journey into Python data structures by explaining the use of lists and tuples and how they are able to store collections of data in a single variable. Next learn about dictionaries and how they function by storing data in pairs of keys and values, and end with Python sets to learn how this type of collection can appear in any order and will only contain unique elements.

  • Lists and Tuples
  • Sets
  • Dictionaries


Module 3: Python Programming Fundamentals

This module discusses Python fundamentals and begins with the concepts of conditions and branching. Continue through the module and learn how to implement loops to iterate over sequences, create functions to perform a specific task, perform exception handling to catch errors, and how classes are needed to create objects.

  • Conditions and Branching
  • Loops
  • Functions
  • Objects and Classes


Module 4: Working with Data in Python

This module explains the basics of working with data in Python and begins the path with learning how to read and write files. Continue the module and uncover the best Python libraries that will aid in data manipulation and mathematical operations.

  • Reading files with Open
  • Writing files with Open
  • Loading data with Pandas
  • Pandas: Working with and Saving Data
  • One Dimensional Numpy
  • Two Dimensional Numpy
  • Simple APIs (Part 1)
  • Simple APIs (Part 2)


Module 5: APIs and Data Collection

This module delves into the unique ways to collect data by the use of APIs and webscraping. It further explores data collection by explaining how to read and collect data when dealing with different file formats.

  • SimpleAPIs
  • Optional: HTML for Webscraping

  • Python for Data Science & AI Development

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