This Data Science course is designed to take you from beginner to job-ready professional with hands-on learning, real-world projects, and career support. Whether you’re new to coding or looking to upskill, this course provides everything you need to break into the data field. Here’s what you’ll learn:

• Foundations of Data Science: Understand what data science is, how it’s used in industries, and the key mathematical and statistical concepts behind it.
• Data Cleaning & Manipulation: Learn to clean, transform, and prepare data using tools like Pandas and NumPy.
• Exploratory Data Analysis (EDA): Use visual tools like Matplotlib and Seaborn to discover trends and patterns in data.
• Machine Learning Fundamentals: Build predictive models using supervised and unsupervised techniques like Linear Regression, Decision Trees, and K-Means Clustering.
• SQL & Data Querying: Use SQL to interact with databases and extract meaningful insights from large datasets.
• Data Visualization: Create interactive dashboards and visual reports using Tableau.
• Tools & Technologies: Work with Jupyter Notebooks, use Git for version control, and integrate tools across workflows.
• Real-World Projects: Apply your skills to real datasets from healthcare, finance, marketing, and more.
• Capstone Project: Complete a full end-to-end data science project with mentorship and feedback.
• Career Support: Get help with resume building, mock interviews, and guidance for entering the data science job market.

This course is perfect for students, analysts, working professionals, or anyone curious about solving problems with data. No prior programming experience is required — we start with the basics and guide you every step of the way.

By the end of this course, you’ll gain strong practical knowledge and a project portfolio that showcases your data science expertise to potential employers.