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https://github.com/jasonmdev/guidedprojects

As part of the DataQuest Curriculum, guided projects are less structured and focus more on exploration.
https://github.com/jasonmdev/guidedprojects

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As part of the DataQuest Curriculum, guided projects are less structured and focus more on exploration.

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# Guided Projects from Dataquest
## Introduction
This is a duplicate of the work done during the Data Science track in [*Dataquest*](https://www.dataquest.io/). The aim is to reinforce the topics I have learnt throughout the course.

### Extract from [*Dataquest*](https://www.dataquest.io/) to give a better understanding.

> "Guided projects, on the other hand, are less structured and focus more on exploration. Guided projects help you synthesize concepts learned during the Dataquest missions and start building a portfolio. Guided projects bridge the gap between learning using the Dataquest missions, and applying the knowledge on your own computer."

## Guided Project Index:
### 1: Python Introduction
* [GP01: Using Jupyter notebook](jupyter-files/GP01.ipynb)
* [GP02: Explore U.S. Births](jupyter-files/GP02.ipynb)
* [GP03: Exploring Gun Deaths In The US](jupyter-files/GP03.ipynb)

### 2: Data Analysis And Visualization
* [GP04: Analyzing Thanksgiving Dinner](jupyter-files/GP04.ipynb)
* [GP05: Visualizing Earnings Based On College Majors](jupyter-files/GP05.ipynb)
* [GP06: Visualizing The Gender Gap In College Degrees](jupyter-files/GP06.ipynb)
* [GP07: Analyzing NYC High School Data](jupyter-files/GP07.ipynb)
* [GP08: Star Wars Survey](jupyter-files/GP08.ipynb)

### 3: The Command Line
* none

### 4: Working With Data Sources
* [GP09: Preparing Data For SQLite](jupyter-files/GP09.ipynb)
* [GP10: Creating Relations In SQLite](jupyter-files/GP10.ipynb)

### 5: Statistics And Linear Algebra
* [GP11: Analyzing Movie Reviews](jupyter-files/GP11.ipynb)
* [GP12: Winning Jeopardy](jupyter-files/GP12.ipynb)

### 6: Machine Learning
* [GP13: Predicting The Stock Market](jupyter-files/GP13.ipynb)

### 7: Advanced Python And Computer Science
* none

### 8: Advanced Topics In Data Science
* none

### 9: Working With Large Datasets
* none

### 10: Learning R
* none