Python for Data Science & AI

Public Class

Live Virtual Class

Private Class

In-House Class

Key points about this course

Duration : 4 Days
Public Class : RM 4,500.00
Live Virtual Class : RM 3,600.00
HRDF Claimable
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.

Skills You Will Gain

  • Data Science
  • Python
  • Programming
  • Numpy
  • Pandas

This course is part of multiple programs

This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:

  • Applied Data Science Specialization
  • IBM Applied AI Professional Certificate
  • IBM Data Science Professional Certificate
  • IBM Data Analyst Professional Certificate
Course Content

Module 1: Python Basics

  • Your first program
  • Types
  • Expressions and Variables
  • String Operations

Module 2: Python Data Structures

  • Lists and Tuples
  • Sets
  • Dictionaries

Module 3: Python Programming Fundamentals

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

Module 4: Working with Data in Python

  • 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)

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