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Corvit Python Data Analytics Course

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📢 Important Notice

⭐ Connect with me on GitHub and LinkedIn! All course training code and important updates will be uploaded here. Don't forget to star the repository!

📌 Instructor: Eesha Tariq

🌐 Institution: Corvit Systems (Onsite Training in Pakistan)

📚 Course Overview

This 3-month Python & Data Analytics course at Corvit Systems is designed to equip students with essential programming and data analysis skills. The course covers:

  • Python Programming Basics: Syntax, Data Types, Loops, Functions
  • Data Analytics: NumPy, Pandas, Data Wrangling & Visualization
  • Machine Learning Fundamentals: Scikit-learn, Model Evaluation
  • Database Management: SQL and NoSQL databases
  • Real-world Projects: Hands-on practical experience by building data-driven applications

🗂 Repository Structure

  • Week-wise Modules: Structured notebooks for each topic
  • Assignments: Hands-on coding exercises
  • Projects: Real-world applications using Python & Data Analytics
  • Resources: Additional reading material and references
  • Final Test & Certification: Onsite evaluation for certification

🏆 Weekly Course Structure

📌 Week 1: Python Fundamentals

  • Introduction to Python
  • Variables, Data Types, Operators
  • Control Flow (Loops & Conditionals)
  • Functions and Modules

📌 Week 2: Data Structures & File Handling

  • Lists, Tuples, Sets, Dictionaries
  • File Handling (Reading/Writing Files)
  • Exception Handling

📌 Week 3: Object-Oriented Programming (OOP)

  • Classes and Objects
  • Encapsulation, Inheritance, Polymorphism

📌 Week 4: Introduction to NumPy & Pandas

  • NumPy Arrays and Operations
  • Pandas DataFrames: Data Manipulation & Cleaning

📌 Week 5: Data Visualization

  • Matplotlib & Seaborn for Charts and Graphs
  • Interactive Visualizations

📌 Week 6: SQL for Data Analysis

  • SQL Basics: Queries, Joins, Aggregations
  • Connecting Python with SQL Databases

📌 Week 7: Machine Learning Fundamentals

  • Supervised vs Unsupervised Learning
  • Building ML Models using Scikit-learn

📌 Week 8-11: Real-World Data Analytics Projects

  • Project 1: Exploratory Data Analysis (EDA)
  • Project 2: Data Cleaning & Visualization
  • Project 3: Predictive Analytics using ML

📌 Week 12: Capstone Project & Career Guidance

  • Final project presentation
  • Resume building & interview preparation
  • Final Test for Certification

🚀 Why Take This Course?

  • Industry-relevant curriculum taught by expert instructor Eesha Tariq
  • Hands-on learning with real-world projects
  • Access to GitHub repository for course material and assignments
  • Career growth opportunities in Data Science & AI

📖 Student Guide

To ensure a smooth learning experience, follow these guidelines:

  1. Pre-requisites:

    • Basic understanding of programming concepts is helpful but not required.
    • Install Python, Jupyter Notebook, and necessary libraries before the course starts.

  2. Course Structure:

    • Each module includes lectures, coding exercises, and real-world projects.
    • Weekly assignments to reinforce learning.
    • A final capstone project to showcase your skills.
    • Final Test will be conducted onsite for certification.

  3. Resources:

    • Course materials and notebooks available on the GitHub repository.
    • Recommended books and online references will be shared.
    • Additional support for students via discussion forums.

  4. Support & Queries:

    • Join the dedicated student discussion group.
    • Reach out to the instructor for guidance via LinkedIn or email.

📌 How to Enroll?

Visit Corvit Systems for enrollment details or contact Eesha Tariq via LinkedIn.

🔗 Connect with Me

Gmail LinkedIn GitHub

🔥 Don't forget to ⭐ star this repository and follow for updates!