Corvit Python Data Analytics Course

📢 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

---

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