• How to Qualify

    Requirements

    • Experience in a quantitative field like engineering, or science.
    • Familiarity with statistical and linear algebraic concepts.
    • Experience with Python.
    • Problem-solving and analytical skills.
    • Teamwork, curiosity, and passion to learn.

    What you will learn

    Statistical Fundamentals

    Python for Data Science

    Supervised and Unsupervised Machine Learning algorithms

    Implement Machine Learning Algorithms, including:

    • Linear Regression
    • Logistic Regression
    • K-Nearest Neighbors
    • K-Means Clustering
    • Decision Trees and Random Forests
    • Support Vector Machines
    • Neural Networks

    Data Tools

    Data visualization with Matplotlib and Seaborn

    Dynamic visualizations with Plotly

    Deep Learning with TensorFlow

    Big Data with Spark

  • Framework Data Science Bootcamp Schedule

    Meet-Up Once a month

    Saturday TBD

    10AM to 1PM

    12 Weeks

    Online Lessons once a week

    Collab Google Work book

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