https://github.com/rtandrew/data-science-nanodedree
My journey through Udacity's Programming for Data Science Nanodegree
https://github.com/rtandrew/data-science-nanodedree
python sql udacity-programming
Last synced: 8 months ago
JSON representation
My journey through Udacity's Programming for Data Science Nanodegree
- Host: GitHub
- URL: https://github.com/rtandrew/data-science-nanodedree
- Owner: RTAndrew
- Created: 2019-10-23T23:56:08.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-12-04T01:53:25.000Z (over 6 years ago)
- Last Synced: 2023-09-01T18:24:01.144Z (almost 3 years ago)
- Topics: python, sql, udacity-programming
- Language: TSQL
- Homepage:
- Size: 25.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
##
Udacity's Programming for Data Science Nanodegree
#### [Confirm certificate validation](https://confirm.udacity.com/U7MUGGJP)
### Date created
First created on October 15th, 2019. Modified December 12th, 2019 based on Udacity's 3rd project [repository](https://github.com/udacity/pdsnd_github/blob/master/README.md)
This repository contains all the files and projects used during the Udacity's course.
### Lecture Folder
In the lecture folder contains the exercises that was part of the program. Such as Python and SQL exercises.
### Project Folder
Each part of the program required a project:
- [x] SQL
- [ ] Exercises
- [ ] Project submission
- [x] Python
- [ ] Full code; Project submission
- [x] Git
- [ ] Project submission
## Project 1 - SQL
### Overview
This project was based on a generic company named Sakilla DVD Rentals, in which the student was tasked to run SQL queries on the company's database in order to answer business questions.
The answers needed to be in a graph visualization along with its description. There were in total 4 presentation slides, each one containing one answer to a particulary area of the business.
## Project 2 - Python
### Overview
In this project, the student was provided with 3 different datasets.
The mission was to read them using python language, and provide interactive analytical presentation based on the user's input.
#### Files used
In order to complete the project, 3 dataset were used:
* washington.csv
* new_york_city.csv
* chicago.csv
#### Requirements
Forgot the requirements, as my PC died and I mostly used the Udacity's virtual console. xD
## Project 3 - Submit your Work on GitHub
### Overview
To conclude the course, the student was tasked to upload all of the files used during the course to Github using git, and also provide all the bash commands used to achieve it.