Data-Scientist-In-Python

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Data-Scientist-In-Python

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This repository contains notes and projects of Data scientist track from dataquest course work.

// repository documentation

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# Data-Scientist-In-Python

## Inroduction
I have completed `Data Scientist in Python` full track from [Dataquest]() with 28 real world projects.This repository contains all projects,datsets used in course and 
notes.Step_1 to Step_8 is order of course track completeion.

## Tools Used
I worked on Jupyter Notebooks and Notepad app for course notes on Windows laptop.
You can install Jupyter Notebook from [here]()
Notepad app already avialable in Windows ,or you can use any app for making notes.

## Projects
Repo have separate folder for projects where i have saved projects according to course and step track.

### Projects completed in Step_1
[Project_1: Profitable app profilles for the APP and Google play markets](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_1/C1/Guided%20Project_Profitable%20App%20Profiles%20for%20the%20App%20Store%20and%20Google%20Play%20Markets.ipynb)
[Project_2: Learn and install jupyter notebook](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_1/C1/Project-Learn%2Band%2BInstall%2BJupyter%2BNotebook.ipynb)
[Project_3: Exploring hacker news posts](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_1/C2/Exploring%2BHacker%2BNews%2BPosts.ipynb)

Total Projects:3

### Projects completed in step_2
[Project_4: Exploring ebay car sales data](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_2/Course_1/Exploring%20Ebay%20Car%20Sales%20Data.ipynb)
[Project_5: Visualizing earnings based on college majors](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_2/Course_2/Visualizing%20Earnings%20Based%20On%20College%20Majors.ipynb)
[Project_6: Visualizing geder gap in college degrees](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_2/Course_3/Visualizing%20The%20Gender%20Gap%20In%20College%20Degrees.ipynb)
[Project_7: Clean and analyze employee exit survey](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_2/Course_4/Guided%20Project_Clean%20And%20Analyze%20Employee%20Exit%20Surveys.ipynb)
[Project_8: Analyze highschool data](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_2/Course_6/Guided%20Project_Analyzing%20NYC%20High%20School%20Data.ipynb)
[Project_9: Star wars survey](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_2/Course_6/Guided%20Project_Star%20Wars%20Survey.ipynb)

Total Projects: 6

### Projects in Step_3
Step_3 have no projects.

## Projects completed in Step_4
[Project_10: Analyze facebook data using SQL](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_4/1.SQL%20fundamentals/Guided%20Project_Analyzing%20CIA%20Factbook%20Data%20Using%20SQL.ipynb)
[Project_11: Answering business questions using SQL](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_4/2.SQL_intermediate_table_relations/Guided%20Project_Answering%20Business%20Questions%20using%20SQL.ipynb)
[Project_12: API and web scraping with reddit API](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_4/4.APIs%20and%20Webscraping/Challenge_Working%20with%20the%20reddit%20API.ipynb)
[Project_13: API and web scraping with reddit API](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_4/4.APIs%20and%20Webscraping/Challenge_Working%20with%20the%20reddit%20API.ipynb)
[Project_14: Popular data science questions](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_4/5.Data_analysis_in_business/4.Guided%20Project_Popular%20Data%20Science%20Questions.ipynb)

Total Projects: 5

### Projects completed in Step_5
[Project_15: Investigating Fandago movie ratings](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_5/1.statistics%20fundamentals/Guided%20Project_Investigating%20Fandango%20Movie%20Ratings.ipynb)
[Project_16: Finding best market to advertise in](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_5/2.statictics%20intermediate/Guided%20Project_Finding%20the%20Best%20Markets%20to%20Advertise%20In.ipynb)
[Project_17: Mobile app for lottery addiction](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_5/3.probability%20fundamentals/Guided%20Project_Mobile%20App%20for%20Lottery%20Addiction.ipynb) 
[Project_18: Building spam filter with naive bays](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_5/4.conditional%20probability/Guided%20Project_Building%20a%20Spam%20Filter%20with%20Naive%20Bayes.ipynb)
[Project_19:](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_5/5.Hypothesis%20testing/Guided%20Project_Winning%20Jeopardy.ipynb)

Total Projects: 5

### Projects completed in Step_6
[Project_20: Predicting car prices](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_6/1.ML_fundamentals/Guided%20Project_Predicting%20Car%20Prices.ipynb)
[Project_21: Predicting house sale prices](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_6/4.%20LinearRegression%20for%20ML/Guided%20Project_Predicting%20House%20Sale%20Prices.ipynb)
[Project_22: Predicting bike rentals](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_6/6.%20Decision%20trees/Guided%20Project_Predicting%20Bike%20Rentals.ipynb)
[Project_23:]()

Total projects: 4

### Projects completed in Step_7
[Project_24: Digits classification](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_7/DL%20fundametals/Project.ipynb)
[Project_25: Credit modeling](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/tree/master/Step%207_Machine%20learning%20intermediate/2.Machine%20Learning%20Project)
[Project_26: Getting started with titanic survival prediction ](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/tree/master/Step%207_Machine%20learning%20intermediate/3.Kaggle%20Fundamentals)

Total projects: 3

### Projects completed in Step_8
[Project_27: Spark installation and jupyter notebook integration](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/blob/master/Projects/step_8/Project_Spark%20Installation%20and%20Jupyter%20Notebook%20Integration.ipynb)

Total projects: 1

## Datasets
This folder contains datasets used in courses for data analysis practice.
[Datasets used in step_1](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/tree/master/Datasets/step_1)
[Datasets used in step_2](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/tree/master/Datasets/step_2)
[Datasets in step_3]()
Step_3 have no data sets to download.
[Datasets used in step_4](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/tree/master/Datasets/step_4)
[Datasets used in step_5](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/tree/master/Datasets/step_5)
[Datasets used in step_6](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/tree/master/Datasets/step_6)
[Datasets used in step_7](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/tree/master/Datasets/step_7)
[Datasets used in step_8](https://github.com/AnshuTrivedi/Data-Scientist-In-Python/tree/master/Datasets/step_8)

## Notes 
Notes of all courses are avialbale either in text or jupyter notebook format.
Takeaway files are in pdf format which are very short and concise notes.

## Recommendation
This course is more than enough for absolute beginners and good for intermediate Data Analytics practitioner.

## Happy to Help:
If have any issue in understanding notes or struggling to grasp any topic , i am ready to offer help.

Data-Scientist-In-Python

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