This Data Science course is designed to build strong foundations in data handling, analysis, and machine learning. The program focuses on practical learning, logic building, and real-world problem solving using industry-relevant tools and techniques.

What You Will Learn:

• Introduction to Data Science & Real-World Use Cases

• Python Programming for Data Science

• Data Types, Control Structures & Functions

• Statistics & Probability for Data Analysis

• Data Cleaning & Data Preprocessing

• Exploratory Data Analysis (EDA)

• Data Visualization (Matplotlib, Seaborn)

• SQL for Data Science (Queries, Joins, Subqueries)

• Machine Learning Concepts (Supervised & Unsupervised)

• Algorithms: Linear Regression, Logistic Regression, KNN, Decision Trees

• Model Evaluation & Performance Metrics

• Mini Projects & Case Studies

• Basics of AI & Industry Applications

• Interview Preparation & Career Guidance

Course Highlights:

✔ Beginner-friendly with strong basics

✔ Live, interactive training sessions

✔ Practical hands-on coding

✔ Industry-oriented syllabus

✔ Certificate on completion

✔ Job & internship guidance

Who Can Join:

• Students & fresh graduates

• Working professionals

• Beginners with no coding background

• Anyone aiming for a career in Data Science