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Kastra Python Form

Master Python for Data Analytics with Kastra Technologies

Learn Python from basics to advanced and use it for data analysis, automation, and real-world applications.

  • ✔ 80+ Hours structured Python training
  • ✔ Beginner to advanced level coverage
  • ✔ Core concepts: variables, loops, functions
  • ✔ Data analysis using Pandas & NumPy
  • ✔ Data visualization with Matplotlib & Seaborn
  • ✔ Working with real-world datasets
  • ✔ Automation and scripting projects
  • ✔ Build portfolio-ready Python projects
  • ✔ Certification from Kastra Technologies
  • ✔ Career support & interview preparation


    Join Python Course

    Learn Python for Data, Automation and Real-World Applications

    Python Course

    This Python course helps you build a strong foundation in programming, even if you’re starting from scratch. You’ll learn how Python works, how to write clean code and how to use core concepts like variables, loops, functions and data structures. By understanding these basics, you’ll be ready to solve everyday problems and think like a programmer.

    As you move forward, the course introduces you to the libraries that power today’s data-driven world. You’ll work with NumPy and Pandas for data analysis, Matplotlib for visualizations and learn how to handle files, APIs and automation tasks. Each module includes hands-on exercises where you clean datasets, build scripts and work with real information.

    In the final phase, you’ll take your skills into real projects by building small applications and APIs using frameworks like Flask or FastAPI. You’ll learn how to connect Python to databases, structure larger programs and create tools that solve practical problems. By the end, you’ll be able to use Python confidently for analytics, automation, application development and career-ready projects.

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    Course Overview

    This Python Course Curriculum is designed to take students from beginner to expert level.

    Module 1 – Python Basics
    Core: Variables, loops, conditions, functions
    Task: Build input-based calculator
    Tip: Break problems into steps
    Outcome: Write basic Python programs
    Module 2 – Data Structures
    Lists, dictionaries, functions, comprehensions.
    Build contact book project.
    Module 3 – File Handling
    Work with CSV, JSON, error handling using try-except.
    Module 4 – OOP
    Classes, inheritance, encapsulation. Build system apps.
    Module 5 – Libraries
    NumPy, Pandas, Matplotlib for data analysis & visualization.
    Module 6 – APIs & Automation
    Fetch APIs, automate scripts, build real-time tools.
    Module 7 – Backend (Flask/API)
    Build APIs using Flask or FastAPI with database integration.
    Capstone Projects
    Build full Python apps: dashboards, automation tools, APIs.

    Drop us a line! We are here to answer your questions 24/7

    Join Us Today