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Data Science is an interdisciplinary field that combines statistics, computer science, and domain expertise to extract insights from structured and unstructured data. It involves techniques such as data analysis, machine learning, data visualization, and big data processing to solve real-world problems and drive decision-making.
Key components of data science include:
📊 Data Collection & Cleaning – Gathering and preprocessing raw data.
📈 Exploratory Data Analysis (EDA) – Identifying patterns and trends.
🤖 Machine Learning & AI – Building predictive models.
📉 Data Visualization – Communicating insights effectively.
🛠️ Big Data Technologies – Handling large-scale datasets with tools like Hadoop and Spark.
Data Science is widely used in industries like healthcare, finance, marketing, and technology to optimize processes, improve efficiency, and enhance decision-making. 🚀