# Coding

This is the third installment in the datalab.cc series "Foundations of Data Science."

# CODING // FOUNDATIONS OF DATA SCIENCE, PART 3

Data science professionals rely on a range of tools, from basic spreadsheets to advanced languages like R and Python. In these videos, we’ll cover the basic elements of the most important tools for data science. _Coding_ is the third of five courses designed to outline the principles and practices of applied data science.

## Course Information

- Introductory level
- 16 streaming video tutorials
- 1 hour 29 minutes of instruction
- Created by Barton Poulson
- Released 18 May 2016

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## Table of Contents

### INTRODUCTION
- Welcome {4:48}

### APPLICATIONS
- Spreadsheets {7:15}
- Tableau Public {9:06}
- SPSS {8:08}
- JASP {6:49}
- Other software {6:53}

### WEB DATA
- HTML {3:17}
- XML {5:26}
- JSON {4:43}

### LANGUAGES
- R {5:07}
- Python {5:57}
- SQL {4:44}
- C, C++, & Java {2:51}
- Bash {5:43}

### SEARCH
- Regex {4:54}

### CONCLUSION
- Next steps {2:46}