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Data Science is the process of collecting, analyzing, and interpreting data to extract meaningful insights and support better decision-making. It combines techniques from statistics, programming, and domain expertise to turn raw data into valuable information.
With the help of tools like machine learning and data visualization, data science helps identify patterns, predict outcomes, and solve real-world problems.
Today, data science is widely used across industries such as healthcare, finance, marketing, and technology to improve efficiency, understand user behavior, and drive innovation.
Introduction to Data Science
Python Programming Basics
Data Collection & Cleaning
Exploratory Data Analysis
Statistics for Data Science
Data Visualization
Introduction to Machine Learning
Working with Real-world Datasets
Mini Projects / Case Studies
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