/data-science-toolbox

  • Arvo
  • Harrier
  • Hornet

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During the next year you will learn the fundamentals of data science.

Surviving the nine courses which make up the [Data Science

Specialization]0001 offered by Johns Hopkins University requires a

strategy.

To this end, the focus of the ten-course series including a capstone project

is to provide the learner with:

  1. an introduction to the key ideas behind reproducible research,

  2. an introduction to the tools and techniques to transform raw

data into a presentable report,

  1. an opportunity to gain hands-on practice so you can learn the

techniques for yourself, and

  1. an appreciation of the mathematics & statistics involved in

data science.

Core Courses

The courses comprising the Data Science Specialization are:

  • Data Scientist's Toolbox

  • R Programming

  • Exploratory Data Analysis

  • Getting and Cleaning Data

  • Reproducible Research

  • Statistical Inference

  • Regression Models

  • Practical Machine Learning

  • Developing Data Products

Course Dependency

Figure 1 Course dependency diagram

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