Jose Portilla, Pierian Training

    Python for Data Science and Machine Learning Bootcamp

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    Python · Online Course

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    This comprehensive bootcamp offers an exceptional entry point for aspiring data scientists and machine learning engineers looking to master the Python ecosystem. Created by Jose Portilla and Pierian Training, the program is meticulously structured to guide students from foundational programming to advanced predictive modeling. Learners will dive deep into essential libraries such as NumPy for scientific computing and Pandas for robust data manipulation. The curriculum places a strong emphasis on data visualization, teaching students how to craft beautiful, informative plots using Matplotlib, Seaborn, and interactive Plotly charts. As students transition into machine learning, they explore key algorithms including Linear and Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, and K-Means Clustering using SciKit-Learn. The course also introduces neural networks and big data analysis using Spark. It is ideal for developers, analysts, and math enthusiasts wanting to pivot into the lucrative field of data science with practical, hands-on projects that build real-world confidence.

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    Jose Portilla, Pierian Training

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    Jose Portilla serves as the Head of Data Science at Pierian Training and stands as one of the world's most prominent online instructors in Python, data science, and web development. Holding both a Bachelor's and Master's degree in Mechanical Engineering from Santa Clara University, he transitioned his deep analytical background into technical education and professional consulting. Jose's teaching style is characterized by its high-quality, practical approach, emphasizing active learning through hands-on code-along videos, comprehensive Jupyter Notebook exercises, and real-world project builds. Rather than relying on dry theory, he guides students step-by-step through complex concepts like neural networks, algorithmic trading, time…Show more

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    Program Overview

    Online Course

    Learning format

    Python

    Subcategory

    $69.99

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Use Python for Data Science and Machine Learning
    • Use Spark for Big Data Analysis
    • Implement Machine Learning Algorithms
    • Learn to use NumPy for Numerical Data
    • Learn to use Pandas for Data Analysis
    • Learn to use Matplotlib for Python Plotting
    • Learn to use Seaborn for statistical plots
    • Use Plotly for interactive dynamic visualizations
    • Use SciKit-Learn for Machine Learning Tasks
    • K-Means Clustering
    • Logistic Regression
    • Linear Regression
    • Random Forest and Decision Trees
    • Natural Language Processing and Spam Filters
    • Neural Networks
    • Support Vector Machines

    Best For

    • Aspiring data scientists looking for a comprehensive, project-based introduction to the Python data stack.
    • Programmers or analysts who already have basic Python experience and want to specialize in machine learning.
    • Math and statistics enthusiasts eager to apply their knowledge using practical libraries like NumPy and Pandas.
    • Learners seeking a structured path to implement predictive algorithms using SciKit-Learn.

    Not For

    • Absolute beginners who have never written a single line of code in any programming language.
    • Individuals seeking a deep, academic dive into the mathematical proofs behind complex machine learning algorithms.
    • Experienced data scientists looking for advanced deep learning topics like PyTorch or TensorFlow production pipelines.
    • People looking for a quick overview without the requirement to complete hands-on coding exercises.

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