What is Data Science?

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Data Science is a multidisciplinary field that uses scientific methods, algorithms, processes, and systems to extract knowledge and insights from structured and unstructured data. It combines elements of statistics, computer science, mathematics, and domain expertise.

🔍 Key Components of Data Science:

  1. Data Collection
    Gathering data from various sources like databases, APIs, sensors, or web scraping.

  2. Data Cleaning & Preprocessing
    Removing errors, handling missing values, and formatting data for analysis.

  3. Data Analysis
    Using statistical techniques and algorithms to identify patterns, trends, and relationships.

  4. Machine Learning & Predictive Modeling
    Training models to make predictions or classifications based on data.

  5. Data Visualization
    Creating charts, graphs, and dashboards to communicate findings clearly.

  6. Decision Making
    Using insights from data to support business or scientific decisions.

🧠 Skills Required:

  • Programming (Python, R, SQL)

  • Statistics & Probability

  • Machine Learning

  • Data Visualization Tools (e.g., Tableau, Power BI)

  • Big Data tools (e.g., Hadoop, Spark)

📈 Applications of Data Science:

  • Recommender systems (like Netflix, Amazon)

  • Fraud detection (banking)

  • Healthcare diagnostics

  • Market analysis and forecasting

  • Customer behavior analysis