Professional Certificate Program
Become a Python expert in
just 50 hours
Python Ignite offers a fast-paced, immersive learning
experience to help you master Python programming.
Enquire Now
Programme Start
May 6th, 2024
Delivery Format
In class & Face to face
Delivery Schedule
10 AM to 12:30 PM (M / W / F)
DURATION
50 Hrs
Program Fees
INR 50,000 + GST
INR 50,000 + GST
Certificate From
NASSCOM FSP
Program Overview
Python is one of the most popular languages in the programming and data science world and there is always a huge demand for individuals who have the ability to apply Python. This program focuses on building a strong foundation in Python fundamentals, emphasizing hands-on learning through practical exercises and projects. By covering key concepts such as variables, data types, and basic syntax, the program aims to empower participants with the skills needed to tackle real-world problems and challenges using Python. By the program’s conclusion, participants will have gained proficiency in Python, enabling them to confidently apply their knowledge to entry-level positions or further advance their skills in a variety of industries. Guided by Chief Academic Officer of Bhrighu & industry expert Dr Nagarajan Srinivasan
SKILLS YOU WILL GAIN
Describe Python Basics including Data Types, Expressions, Variables, and Data Structures.
Apply Python programming logic using Branching, Loops, Functions, Objects & Classes.
Demonstrate proficiency in using Python libraries such as Pandas, NumPy, and Beautiful Soup.
Access web data using APIs and Knowledge of how to do web scraping from Python.
COURSE OBJECTIVES
- Introduction to Python Fundamentals and equip participants with a strong foundational understanding of Python programming language.
- To develop participants' problem-solving skills using Python by introducing fundamental algorithms and data structures.
- Encourage participants to apply Python to solve real-world problems through coding exercises and projects.
- Familiarize participants with the Pandas library for data manipulation and analysis in Python.
- Cover essential data structures like Series and Data Frames and provide hands-on experience in cleaning, transforming, and analyzing datasets.
PRE REQUISITES
- Participants should have access to a computer where they can install Python and practice coding. Python is compatible with Windows, macOS, and Linux.
- Should be familiar with basic computer operations, such as using a keyboard and mouse, navigating file systems, and working with software applications.
- Having a basic understanding of programming concepts like variables, data types, loops, and conditionals can be helpful.
- Basic understanding of mathematics, particularly algebra, can be beneficial for those interested in these domains. However, it’s not a strict prerequisite for beginners.
- Familiarity with using a text editor or an integrated development environment (IDE) is useful.
- A mindset for breaking down problems into smaller, manageable parts and devising solutions is beneficial.
- Having a genuine interest in learning Python and motivation to tackle challenges is essential.
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Expert Faculty
Donald L. Juarez
CEO & Founder
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Donald L. Juarez
CEO & Founder
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PROGRAM COVERAGE
Part 1: Introduction to Python
- 1.1 Overview of Python
- Introduction, History, and Use Cases
- 1.2 Setting Up Python Environment
- Understanding Colab
- 1.3 Basic Python Syntax
- Variables, Data Types, and Operators
Part 2: Control Structures and Functions
- 2.1 Conditional Statements (if, elif, else)
- Basic Decision-Making in Python
- 2.2 Loops (for, while)
- Iterative Structures in Python
- 2.3 Functions in Python
- Defining and Calling Functions
Part 3: Data Structures in Python
- 3.1 Lists and Tuples
- Sequential Data Structures
- 3.2 Dictionaries and Sets
- Key-Value Pairs and Unordered Collections
- 3.3 String Manipulation
- Operations on Strings
Part 4: File Handling and Modules
- 4.1 Reading and Writing Files
- Basic File Operations
- 4.2 Introduction to Modules
- Creating and Using Modules
Part 5: Introduction to Libraries and Basic Projects
- 5.1 Overview of Python Libraries
- Introduction to NumPy and Pandas
- 5.2 Basic Python Projects
- Applying Python Skills in Simple Projects
Part 6: Mini Project: Interactive Quiz Game
- 6.1 Project Overview and Planning
- Defining Project Scope and Objectives
- 6.2 Implementation of the Quiz Game
- Utilizing Python concepts learned in a mini
project - 6.3 Project Review and Q&A
- Reviewing Progress and Addressing
Questions
Part 7: Mini Project: To-Do List Application
- 7.1 Project Overview and Planning
- Defining Project Scope and Objectives
- 7.2 Implementation of the To-Do List App
- Applying Python skills to create a
functional application - 7.3 Project Review and Q&A
- Reviewing Progress and Addressing
Questions
Assignment Review and Feedback
- 8.1 Assignment Distribution and
Explanation - Providing Assignments to Participants
- 8.2 Assignment Work and Submission
- Participants Work on Assignments
- 8.3 Feedback and Discussion
- Reviewing Assignments and Providing
Feedback
Final Project: Web Scraping Application
- 9.1 Project Kick-off and Planning
- Defining Project Scope and Objectives
- 9.2 Hands-on Project Work
- Applying Python skills in a real-world
project - 9.3 Project Review and Q&A
- Reviewing Progress and Addressing
Questions
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