Data Science Specialization

Launch Your Career in Data Science. A ten-course introduction to data science, developed and taught by leading professors.

Instructors: Roger D. Peng, PhD +2 more

What you'll learn

  •   Use R to clean, analyze, and visualize data.
  •   Navigate the entire data science pipeline from data acquisition to publication.
  •   Use GitHub to manage data science projects.
  •   Perform regression analysis, least squares and inference using regression models.

    • Skills you'll gain

  •   Regression Analysis
  •   Data Manipulation
  •   Knitr
  •   R Programming
  •   Predictive Modeling
  •   Statistical Analysis
  •   Statistical Hypothesis Testing
  •   Rmarkdown
  •   Shiny (R Package)
  •   Version Control
  •   Machine Learning Algorithms
  •   Leaflet (Software)

    • Specialization - 10 course series

    This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.

    R Programming

    Getting and Cleaning Data

    Exploratory Data Analysis

    Reproducible Research

    Statistical Inference

    Regression Models

    Practical Machine Learning

    Developing Data Products

    Data Science Capstone

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