https://github.com/ribin-baby/coursera-introduction-to-data-science-in-python

This repository is a workbook for coursera's Introduction to Data Science in Python course . link: https://www.coursera.org/learn/python-data-analysis?specialization=data-science-python
https://github.com/ribin-baby/coursera-introduction-to-data-science-in-python

basics-of-python matplotlib-pyplot numpy-tutorial python3 seaborn-tutorial

Last synced: about 1 month ago
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This repository is a workbook for coursera's Introduction to Data Science in Python course . link: https://www.coursera.org/learn/python-data-analysis?specialization=data-science-python

• Host: GitHub
• URL: https://github.com/ribin-baby/coursera-introduction-to-data-science-in-python
• Owner: Ribin-Baby
• Created: 2022-10-13T14:02:44.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2022-10-13T15:42:03.000Z (about 2 years ago)
• Last Synced: 2023-12-13T10:44:59.239Z (about 1 year ago)
• Topics: basics-of-python, matplotlib-pyplot, numpy-tutorial, python3, seaborn-tutorial
• Language: Jupyter Notebook
• Homepage:
• Size: 11.7 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Introduction to Data Science in Python

Course link : [click here](https://www.coursera.org/learn/python-data-analysis?specialization=data-science-python)

## [Week 1](https://github.com/Ribin-Baby/coursera-Introduction-to-Data-Science-in-Python/tree/main/week%201)

* In this week you'll get an introduction to the field of data science, review common Python functionality and features.

## [Week 2](https://github.com/Ribin-Baby/coursera-Introduction-to-Data-Science-in-Python/tree/main/week%202)

* In this week of the course you'll learn the fundamentals of one of the most important toolkits Python has for data cleaning and processing -- pandas. You'll learn how to read in data into DataFrame structures, how to query these structures, and the details about such structures are indexed.

## [Week 3](https://github.com/Ribin-Baby/coursera-Introduction-to-Data-Science-in-Python/tree/main/week%203)

* In this week you'll deepen your understanding of the python pandas library by learning how to merge DataFrames, generate summary tables, group data into logical pieces, and manipulate dates. We'll also refresh your understanding of scales of data, and discuss issues with creating metrics for analysis.

## [Week 4](https://github.com/Ribin-Baby/coursera-Introduction-to-Data-Science-in-Python/tree/main/week%204)

* In this week of the course you'll be introduced to a variety of statistical techniques such a distributions, sampling and t-tests.

## [Data](https://github.com/Ribin-Baby/coursera-Introduction-to-Data-Science-in-Python/tree/main/data) folder

* This folder contains dataset required for this course.