The Data Science Track

Jeffrey Leek
Johns Hopkins Bloomberg School of Public Health

Why do data science?

"It is not the critic who counts: not the man who points out how the strong man stumbles or where the doer of deeds could have done better. The credit belongs to the man who is actually in the arena, whose face is marred by dust and sweat and blood, who strives valiantly, who errs and comes up short again and again, because there is no effort without error or shortcoming, but who knows the great enthusiasms, the great devotions, who spends himself for a worthy cause; who, at the best, knows, in the end, the triumph of high achievement, and who, at the worst, if he fails, at least he fails while daring greatly, so that his place shall never be with those cold and timid souls who knew neither victory nor defeat."

Theodore Roosevelt, 26th President of the United States

Statistics and the science game

The key challenge in data science

About us

Why data science?

Why data science?

Why statistical data science?

Why are you lucky?

Why are you lucky?

Why R?

Why R?

  • It is free
  • It has a comprehensive set of packages
    • Data access
    • Data cleaning
    • Analysis
    • Data reporting
  • It has one of the best development enviroments - Rstudio http://www.rstudio.com/
  • It has an amazing ecosystem of developers
  • Packages are easy to install and "play nicely together"

Who is a data scientist?

Who is a data scientist?

Who is a data scientist?

Who is a data scientist?

Our goal

Plus jobs

This course

  • Introducing you to the track
  • Getting tools set up
  • Giving you basic background