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  1. Introduction to Data Science with Python | Harvard Online

    Dec 4, 2024 · Gain hands-on experience and practice using Python to solve real data science challenges; Practice Python coding for modeling, statistics, and storytelling; Utilize popular libraries such as Pandas, numPy, matplotlib, and SKLearn

  2. HarvardX: Introduction to Data Science with Python | edX

    Learn the concepts and techniques that make up the foundation of data science and machine learning.

  3. Harvard School of Engineering and Applied Sciences

    This course is a variant of Harvard University's introduction to computer science, CS50, designed especially for lawyers (and law students). Price. Free * Duration. 10 weeks long. ... Introduction to Data Science with Python. Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and ...

  4. Introduction to Data Science with Python - Harvard Course. I …

    In this course you'll learn the basics of data modeling, from nearest-neighbor approaches and simple linear models to intermediate techniques like Ridge and LASSO. You'll learn about model selection, how to avoid overfitting, and some of the most common mistakes people make in …

  5. Machine Learning and AI with Python | Harvard Online

    Mar 27, 2024 · Put your data to work through machine learning with Python. Join Harvard University Instructor Pavlos Protopapas to learn how to use decision trees, the foundational algorithm for your understanding of machine learning and artificial intelligence. Start Machine Learning and AI with Python today. It’s time to make a decision: beach or mountains?

  6. Introduction to Data Science with Python - Class Central

    The **Data Science in Python** course is a great introduction for beginners and intermediate learners. It covers key topics such as data manipulation with Pandas, visualization with Matplotlib, and machine learning basics using Scikit-learn.

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    • HarvardX: Introduction to Data Science with Python

      Hands-on experience in solving data science problems using Python. Proficiency in Python programming related to data modeling, statistics, and presentation. Exploration and implementation of popular Python libraries like Pandas, numPy, matplotlib, and sklearn.

    • Harvard EdX - Introduction to Data Science with Python

      Harvard EdX - Introduction to Data Science with Python. This repository is to document my progress for the above course. In order to not redistribute the course material, I will only show the notes and scripts I have independently produced as part of these courses.

    • Python for Data Science and Machine Learning - Class Central

      Dive into Python for data science and machine learning, gaining practical skills in sklearn, Pandas, matplotlib, and numPy to build complex data sets and analyze them for a career in this high-demand field.

    • GitHub - YahSeh/HarvardX_Python_Data: This repository is an …

      This repository is an overview of the work done to complete HarvardX's "Introduction to Data Science with Python". This is the last step towards the Professional Certificate : Learning Python for Data Science that I obtained in November 2024.

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