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Python Core

Python Core Certification

Boost up Program for Mastermind & Growth Hack

On Campus Course Duration- 180 Hourse Internship Plus

Course Objectives:

    Enabling competencies in these emerging front-end technologies: HTML, CSS, and JavaScript.

    Teach back-end development using Python frameworks like Flask and Django.

    Develop hands-on experience on how to manage and integrate data in SQL and NoSQL databases.

    Develop understanding in RESTful API development and microservices architecture.

#1 Python Core

python-core-certification
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Industry Readiness Certification Programs

  • overview
  • Industry Demand
  • syllabus
  • FAQ
  • Project & Training
Module 1: Introduction to Python
  • Overview and History of Python: Why Python is popular, major applications
  • Python Installation and Setup: Installing Python, setting up an IDE (PyCharm, VS Code)
  • Writing and Running Code: Basic syntax, running scripts, using REPL (Read-Eval-Print Loop)
Module 2: Basic Syntax and Data Types
  • Data Types: int, float, str, bool, None
  • Variables and Assignment: Dynamic typing, variable naming conventions
  • Operators: Arithmetic, relational, logical, assignment, and membership operators
  • Type Conversion: Implicit and explicit type casting
Module 3: Control Flow Statements
  • Conditional Statements: if, elif, else
  • Loops: for, while, nested loops
  • Loop Control: break, continue, pass
Module 4: Functions and Modules
  • Defining Functions: def keyword, parameters, and return values
  • Default and Keyword Arguments: Using default parameters and keyword arguments
  • Lambda Functions: Anonymous functions and simple use cases
  • Modules and Packages: Importing built-in and external libraries, pip for package management
Module 5: Data Structures
  • Lists: Creating, indexing, slicing, and modifying lists
  • Tuples: Immutable lists, uses, and methods
  • Dictionaries: Key-value pairs, basic methods, and dictionary comprehension
  • Sets: Unordered collections, set operations (union, intersection)
Module 6: String Manipulation
  • String Basics: Creating, indexing, and slicing strings
  • String Methods: upper, lower, find, replace, split, join
  • String Formatting: f-strings, format(), % formatting
  • Regular Expressions: Basic pattern matching with the re module
Module 7: File Handling
  • File Operations: Opening, reading, writing, and closing files (open, read, write, close)
  • File Modes: r, w, a, r+
  • Using with Statement: Context management for handling files
  • Working with CSV and JSON Files: Reading and writing structured data
Module 8: Error Handling and Exceptions
  • Exception Basics: try, except, finally
  • Exception Types: Common exceptions (ValueError, TypeError, FileNotFoundError)
  • Custom Exceptions: Defining and raising custom exceptions
  • Using else with try-except: Additional exception handling patterns
Module 9: Object-Oriented Programming (OOP)
  • Classes and Objects: Defining classes, creating objects
  • Constructors: __init__ method and instance attributes
  • Inheritance: Creating subclasses, super() function
  • Method Overriding and Polymorphism: Defining methods in child classes
  • Encapsulation and Data Hiding: Using private and protected members
Module 10: Modules and the Standard Library
  • Importing Standard Libraries: math, datetime, random, os, sys
  • Working with Dates and Times: datetime and time modules
  • Generating Random Numbers: random library for simulations and games
  • OS Module for File System Operations: Navigating file paths, creating/deleting directories
Module 11: Decorators and Advanced Function Concepts
  • Function Decorators: Adding functionality to functions
  • Higher-Order Functions: Functions as arguments and return values
  • Closures: Functions with nested scope, persistent state
Module 12: Introduction to Data Science and Libraries (Optional)
  • NumPy: Arrays and basic numerical operations
  • Pandas: DataFrames for data manipulation
  • Matplotlib and Seaborn: Basic data visualization techniques
Module 13: Project Development Basics
  • Organizing Code: Using modules, packages, and project structure
  • Basic Debugging Techniques: Using print statements, the logging module, and basic debugging in IDEs
  • Developing a Simple Application: Integrating core concepts into a small project
Final Project
  • Project Ideas: Calculator, contact management system, or text-based game
  • Code Review and Presentation: Documenting and sharing the final project

End-to-End Career Assistance

Comprehensive Career Support to Help You Shine

Resume Revamp
Resume Build

Upgrade and polish resumes to make them stand out to potential employers.

LinkedIn Optimization
Industry Relevant Training

Learn From digital marketing industry experts with real-world experience.

GitHub Mastery
Project Presentation

Develop presentation skills and refine projects with constructive feedback from peers and instructors.


Portfolio Building
Career Guidance

Dedicated Assistance to help figure out the right step for your career.

Pitch Perfect
Personalize Emphasis

We ensure each student receives focused as we teach them key concepts

Mock Interviews
Mock Interview Drill

Comprehensive Guidance to master interview skills & land your dream job.

Job Ready
Supper Sessions

Engage with expert from leading brand & agencies through nteractive Q&A sessions.

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Be in the spotlight by getting certified!

Industry-Recognized Certificate

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Stand Out in Job Market

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Your Passport to Career Growth

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Total Program Fee:

รขโ€šยน30,500 รขโ€šยน25,500

  • Live instruction from Industry Veterans
  • Vibrant community just like a College Campus
  • Hands-on curriculum with Real-Life Projects
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