Introduction

During the next months you will learn the fundamentals of Data Science.

Surviving the 9 (nine) courses which make up the Data Science Specialization 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,
3. an opportunity to gain hands-on practice so you can learn the techniques for yourself, and
4. 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