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feat(learn): python certification projects (#38216)

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Co-authored-by: Oliver Eyton-Williams <ojeytonwilliams@gmail.com>
Co-authored-by: Kristofer Koishigawa <scissorsneedfoodtoo@gmail.com>
Co-authored-by: Beau Carnes <beaucarnes@gmail.com>
This commit is contained in:
mrugesh
2020-02-25 00:10:32 +05:30
committed by Mrugesh Mohapatra
parent 3c3ceaa3f5
commit 22afc2a0ca
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50
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/demographic-data-analyzer.english.md Normal file
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---
id: 5e46f7e5ac417301a38fb929
title: Demographic Data Analyzer
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
In this challenge you must analyze demographic data using Pandas. You are given a dataset of demographic data that was extracted from the 1994 Census database.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-demographic-data-analyzer' target='_blank'>the full project description and starter code on repl.it</a>.
After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

50
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/mean-variance-standard-deviation-calculator.english.md Normal file
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---
id: 5e46f7e5ac417301a38fb928
title: Mean-Variance-Standard Deviation Calculator
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
Create a function that uses Numpy to output the mean, variance, and standard deviation of the rows, columns, and elements in a 3 x 3 matrix.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-mean-var-std' target='_blank'>the full project description and starter code on repl.it</a>.
After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

50
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/medical-data-visualizer.english.md Normal file
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---
id: 5e46f7f8ac417301a38fb92a
title: Medical Data Visualizer
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
In this project, you will visualize and make calculations from medical examination data using matplotlib, seaborn, and pandas.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-medical-data-visualizer' target='_blank'>the full project description and starter code on repl.it</a>.
After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

50
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/page-view-time-series-visualizer.english.md Normal file
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---
id: 5e46f802ac417301a38fb92b
title: Page View Time Series Visualizer
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
For this project you will visualize time series data using a line chart, bar chart, and box plots. You will use Pandas, matplotlib, and seaborn to visualize a dataset containing the number of page views each day on the freeCodeCamp.org forum from 2016-05-09 to 2019-12-03. The data visualizations will help you understand the patterns in visits and identify yearly and monthly growth.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-time-series-visualizer' target='_blank'>the full project description and starter code on repl.it</a>.
After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

50
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-projects/sea-level-predictor.english.md Normal file
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---
id: 5e4f5c4b570f7e3a4949899f
title: Sea Level Predictor
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
In this project, you will analyze a dataset of the global average sea level change since 1880. You will use the data to predict the sea level change through year 2050.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-sea-level-predictor' target='_blank'>the full project description and starter code on repl.it</a>.
After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>