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Introduction to Data Science with Python

Harvard University via edX

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Overview

Every single minute, computers across the world collect millions of gigabytes of data. What can you do to make sense of this mountain of data? How do data scientists use this data for the applications that power our modern world? Data science is an ever-evolving field, using algorithms and scientific methods to parse complex data sets. Data scientists use a range of programming languages, such as Python and R, to harness and analyze data. This course focuses on using Python...

Syllabus

Course Outline:

  • Linear Regression
  • Multiple and Polynomial Regression
  • Model Selection and Cross-Validation
  • Bias, Variance, and Hyperparameters
  • Classification and Logistic Regression
  • Multi-logstic Regression and Missingness
  • Bootstrap, Confidence Intervals, and Hypothesis Testing
  • Capstone Project
  • Introduction to Data Science with Python
    Go to Class

    Harvard University via edX

    4 hours

    $299.00 Certificate Available

    English

    On-Demand

    Intermediate

    Instructor

    HarvardX

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