/Data-Analyst-In-Python

Data Analyst Track from Dataquest containing complete my course notes,projects in this repository.

Primary LanguageJupyter Notebook

Data-Analyst-In-Python

Inroduction

I have completed Data Analytics full track from Dataquest with 20 real world projects.This repository contains all projects,datsets used in course and notes.Step_1 to step_6 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:
Project_2:
Project_3:

Total Projects:3

Projects completed in step_2

Project_4:
Project_5:
Project_6:
Project_7:
Project_8:
Project_9:

Total Projects: 6

Projects in Step_3

Step_3 have no projects.

Projects completed in Step_4

Project_10:
Project_11:
Project_12:
Project_13:
Project_14:

Total Projects: 5

Projects completed in Step_5

Project_15:
Project_16:
Project_17:
Project_18:
Project_19:
Total Projects: 5

Projects completed in Step_6

Project_20:

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

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.