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What is Data Science Fundamentals?

Data Science Fundamentals is the foundational knowledge needed to collect, process, and interpret data using statistical methods, programming, and machine learning. It combines math, technology, and curiosity to solve real-world problems using data.

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Why It Matters?

    • Helps companies predict trends, improve services, and drive innovation


    • Opens the door to high-growth tech careers in AI, finance, healthcare, and beyond


    • Teaches problem-solving using logic, statistics, and technology


    • Provides transferable skills in analysis, automation, and experimentation


    • Empowers professionals to make informed decisions based on evidence—not guesswork

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    Beginner-Friendly Approach

    ✔ Assumes no prior coding or math background

    ✘ Often jumps into coding or formulas too fast

    Covers Entire Data Science Workflow

    ✔ Teaches theory + application + storytelling

    ✘ Fragmented focus on only one part of the process

    Includes Coding Practice & Notebooks

    ✔ Interactive Python notebooks and guided code walkthroughs

    ✘ Limited or no practical coding support

    Real-World Case Studies

    ✔ Work on projects from business, healthcare, or social media domains

    ✘ Generic datasets without real context

    Career Pathway Support

    ✔ Helps transition into analyst or data science roles

    ✘ No roadmap or career alignment


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