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Foundation Course

Build a Strong Technical Base for Your Future in Data, Cloud, and Coding

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    Module 1

    Python Programming

    Module 2

    Linux & Bash Basics

    Module 3

    Big Data & Hadoop Essentials

    Module 4

    Cloud Computing & Security

    Course Overview

    Tek-Zo’s Foundation Course is designed to equip learners with the essential technical skills needed to pursue advanced programs in data engineering, cloud computing, analytics, and backend development. This beginner-friendly course is ideal for students or professionals looking to establish a strong coding foundation through Python programming, Linux, Big Data essentials, and cloud security fundamentals — all in one structured path.

    Total Duration: 38 Hours
    Tracks Covered: Python, Linux, Big Data, Cloud Fundamentals

    Module 1: Python Programming

    Duration: 24 Hours
    Objective: Build a solid foundation in Python, the most in-demand and beginner-friendly programming language, with hands-on exposure to real-world use cases, libraries, and integration.

    Topics Covered

    • 1. Introduction to Python
      • Working with the Python interpreter
      • Numbers, expressions, variables, and statements
      • Conditionals and loops
      • User input handling
      • Syntax, styling, and coding conventions
    • 2. Working with Strings
      • String creation, operators, and slicing
      • Common built-in methods
    • 3. Lists & Tuples
      • Sequence operations and indexing
      • Creating, modifying, and looping through lists and tuples
    • 4. Working with Dictionaries
      • Creating, assigning, and updating key-value pairs
      • Dictionary operators and built-in functions
    • 5. Functions
      • Defining user functions
      • Passing values, recursion, and argument types (*args, **kwargs)
      • Variable scope handling
    • 6. File Handling
      • Reading, writing, and appending to files
      • Working with CSV, Excel, and XML files
    • 7. Exception Handling
      • Try-except structures
      • Raising and creating custom exceptions
      • Standard exception types
    • 8. Standard Libraries Overview
      • Using os, sys, math, filecmp, random, datetime, time, re
    • 9. Object-Oriented Programming (OOP)
      • Classes, objects, inheritance (single/multiple)
      • Class methods and examples
    • 10. Serialization
      • Using JSON and pickle for serialization and deserialization
    • 11. Working with Databases
      • Connecting to MySQL
      • CRUD operations with relational databases
    Hands-On Practice: Assignments and mini-projects are provided after each topic to reinforce learning.

    Module 2: Linux & Bash Basics

    Duration: 4 Hours
    Objective: Introduce students to Linux — a key OS in development, data, and cloud — with a focus on shell interaction, file systems, and scripting.

    • Topics Covered
      • Why Linux is essential in modern computing
      • Basic Linux commands and syntax
      • Understanding the Linux command line
      • Navigating file structure and managing permissions
      • Introduction to shell scripting fundamentals
    Hands-On Practice: Execute shell commands, manipulate directories, and create basic scripts.

    Module 3: Big Data & Hadoop Essentials

    Duration: 4 Hours
    Objective: Lay the groundwork for understanding big data, its challenges, and how distributed systems like Hadoop solve real-world data scaling problems.

    Topics Covered

    • 1. Introduction to Big Data
      • What is Big Data?
      • The 4Vs: Volume, Velocity, Variety, Veracity
      • Analytics-driven use cases
      • Challenges of traditional systems
    • 2. Introduction to Hadoop
      • Distributed computing and data storage concepts
      • Apache Hadoop ecosystem: core components
      • Hadoop 1.x vs. 2.x architecture
      • Overview of commercial Hadoop distributions
      • Types of analytics that run on Hadoop
    Hands-On Practice: Interactive quizzes and case-based exercises to apply key concepts.

    Module 4: Cloud Computing & Security Fundamentals

    Duration: 6 Hours
    Objective:  Introduce students to cloud concepts, virtualization, networking, and data security — all essential for today’s tech landscape.

    Topics Covered

    • 1. Introduction to Cloud Computing
      • Cloud models: IaaS, PaaS, SaaS
      • Public, Private, and Hybrid clouds
      • What is multi-tenancy?
    • 2. Virtualization Basics
      • Why virtualization is needed
      • Understanding VMware and hypervisors
    • 3. Networking Fundamentals
      • IPv4/IPv6 concepts
      • Private vs. Public IPs
      • Elastic IP addresses in cloud environments
    • 4. JSON & YAML Basics
      • Structure and syntax of JSON and YAML
      • Converting between JSON and YAML
      • Practical usage in DevOps, APIs, and config files
    • 5. Cloud Security Overview
      • Shared responsibility model in the cloud
      • Data security in cloud environments
        • Data at Rest
        • Data in Motion
      • Encryption and decryption basics
      • Evaluating cloud risk and application security needs

    Hands-On Practice: Exercises on identifying cloud components, writing JSON/YAML files, and understanding security flows.

    Who Can Join?

    • High school students (Grades 9–12)
    • No coding background needed
    • Ideal for future data engineers, analysts, or tech enthusiasts

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