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Python for Data Science and AI

This beginner-friendly course teaches Python programming from scratch, no prior experience required. You will learn about Python basics, data types, data structures, libraries like Pandas, Numpy & Beautiful Soup, and apply your knowledge through hands-on labs using Jupyter Notebooks. The course covers tasks such as data collection, web scraping and API usage. Demand for individuals who can apply Python is high and this course will kickstart your learning.


Per Person




3 Days


Face-to-face (F2F) / Virtual Class


Choose your preference

Customize your training experience by first selecting your preferred Training Delivery Format and then choosing the Class Type that best aligns with your goals and needs.

Public Class

Learn, collaborate and make new friends with similar interest in a shared virtual or physical classroom.

Private Class

Achieve personalized learning in a private setting with your dedicated instructor.

In-House Training

Similar to a private class, but your instructor will deliver the training face-to-face at your preferred venue.


Customize your training to suit specific requirements of your organization for optimal results.


Course structure

Course Overview

Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher. This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary!

You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks.

Course Objectives

By the end of this course,

  • you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python.

Course Objectives

What You Will Learn

  • Data Science
  • Python
  • Programming
  • Numpy
  • Pandas

Course Prerequisite

No prior programming experience required.

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.

  • Your first program
  • 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 of 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)

Who Should Attend

Python is the programming language that opens more doors than any other, and the more you understand Python, the more you can do in the 21st Century. With a solid knowledge of Python, you can work in a multitude of jobs and a multitude of industries.

Data Analysis with Python certification will be particularly valuable for:

  • Aspiring programmers and learners interested in learning programming for fun and job-related tasks;
  • Learners looking to gain fundamental skills and knowledge for an entry-level job role as a software developer, data analyst, or tester;
  • Industry professionals wishing to explore technologies that are connected with Python, or that utilize it as a foundation;
  • Team leaders, product managers, and project managers who want to understand the terminology and processes in the software development cycle to more effectively manage and communicate with production and development teams.

Learn, certify
and secure your job


Per Person




3 Days


Face-to-face (F2F) / Virtual Class


Frequently asked questions

Who is this course suitable for?

This course is suitable for beginners who want to learn Python programming. It is designed for individuals with no prior programming experience.

Is any prior programming experience required to take this course?

No, prior programming experience is not required. This course is specifically designed for beginners, assuming no prior knowledge of programming.

What tools or environments will be used for the hands-on labs?

The hands-on labs in this course will be conducted using Jupyter Notebooks. Jupyter Notebooks provide an interactive environment for writing and executing Python code, making it easier to practice and apply what you learn.

What can I expect to achieve after completing this course?

After completing this course, you can expect to have a solid understanding of Python programming fundamentals, including data types, data structures, conditions, and branching. You will also gain practical experience using Python libraries like Pandas, NumPy, and Beautiful Soup. Additionally, you will have the skills to perform tasks such as data collection and web scraping using Python.