Data Science: An Introduction
About the course
Data science is a key part of the world of STEM (science, technology, engineering, and mathematics). You may have heard it described as the “sexiest job of the twenty-first century”. There’s a soaring demand for data scientists, and the role involves a wide variety of skills. However, the day-to-day job of a data scientist can be a mystery.
In this collection of tutorials, we’ll take a look at the field of data science, how you can use data science skills in your own day-to-day work, how to best learn key data science skills, and provide an introduction to using Python and R for data science. This collection contains:
- Data Science for Everyone by Mona Khalil
- Python for Data Science: an Introduction to Pandas by Claudio Ribeiro
- Introduction to R and RStudio by Bruno Skvorc
- How to Import Data and Export Results in R by Shaumik Daityari
- Exploratory Data Analytics in Python: Car Imports into the US by Shaumik Daityari
Authors
Mona Khalil
Cláudio Ribeiro
Cláudio Ribeiro is a software developer, traveler, and writer from Lisbon. He's the author of the book An IDE Called Vim. When he is not developing some cool feature at Kununu he is probably backpacking somewhere in the world or messing with some obscure framework.
Bruno Skvorc
Bruno, a web developer from Croatia, is SitePoint's senior PHP editor by day, and a developer evangelist for Diffbot.com by night. A big fan of working on treadmill desks, he spends the most of his days walking through various projects and problems, and then exposing them on SitePoint.com. In his free time (i.e. when his beagle is asleep) he swims, #stronglifts, plays (board) games and paints miniatures.
Shaumik Daityari
Shaumik is an optimist, but one who carries an umbrella. He is currently pursuing his MBA at IIM Lucknow, after completing his M.Tech at IIT Roorkee. A co-founder of The Blog Bowl, he loves writing.
Course Outline
Chapter 1: Data Science for Everyone
Chapter 2: Python for Data Science: an Introduction to Pandas
Chapter 3: Introduction to R and RStudio
Chapter 4: How to Import Data and Export Results in R
Chapter 5: Exploratory Data Analytics in Python: Car Imports into the US