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 Project_2: Learn and install jupyter notebook Project_3: Exploring hacker news posts

Total Projects:3

Projects completed in step_2

Project_4: Exploring ebay car sales data Project_5: Visualizing earnings based on college majors Project_6: Visualizing geder gap in college degrees Project_7: Clean and analyze employee exit survey Project_8: Analyze highschool data Project_9: Star wars survey

Total Projects: 6

Projects in Step_3

Step_3 have no projects.

Projects completed in Step_4

Project_10: Analyze facebook data using SQL Project_11: Answering business questions using SQL Project_12: API and web scraping with reddit API Project_13: API and web scraping with reddit API Project_14: Popular data science questions

Total Projects: 5

Projects completed in Step_5

Project_15: Investigating Fandago movie ratings Project_16: Finding best market to advertise in Project_17: Mobile app for lottery addiction
Project_18: Building spam filter with naive bays Project_19:

Total Projects: 5

Projects completed in Step_6

Project_20: Predicting car prices Project_21: Predicting house sale prices Project_22: Predicting bike rentals Project_23:

Total projects: 4

Projects completed in Step_7

Project_24: Digits classification Project_25: Credit modeling Project_26: Getting started with titanic survival prediction

Total projects: 3

Projects completed in Step_8

Project_27: Spark installation and jupyter notebook integration

Total projects: 1

Datasets

This folder contains datasets used in courses for data analysis practice. Datasets used in step_1 Datasets used in step_2 Datasets in step_3 Step_3 have no data sets to download. Datasets used in step_4 Datasets used in step_5 Datasets used in step_6 Datasets used in step_7 Datasets used in 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.