https://github.com/mrankitgupta/kaggle-pandas-solved-exercises

I'm sharing my Kaggle Pandas Course - Exercise complete solution notebook which I have solved while undertaking this course.
https://github.com/mrankitgupta/kaggle-pandas-solved-exercises

66daysofdata ankitgupta ankittalks data-analysis data-science data-structures data-visualization datascience kaggle kaggle-notebook kaggle-notebooks mrankitgupta pandas pandas-dataframe pandas-library pandas-python pandas-tutorial python python-library python3

Last synced: 17 days ago
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I'm sharing my Kaggle Pandas Course - Exercise complete solution notebook which I have solved while undertaking this course.

Host: GitHub
URL: https://github.com/mrankitgupta/kaggle-pandas-solved-exercises
Owner: mrankitgupta
License: mit
Created: 2022-04-04T20:51:09.000Z (about 3 years ago)
Default Branch: main
Last Pushed: 2022-11-16T07:03:21.000Z (over 2 years ago)
Last Synced: 2025-03-29T19:11:18.263Z (about 1 month ago)
Topics: 66daysofdata, ankitgupta, ankittalks, data-analysis, data-science, data-structures, data-visualization, datascience, kaggle, kaggle-notebook, kaggle-notebooks, mrankitgupta, pandas, pandas-dataframe, pandas-library, pandas-python, pandas-tutorial, python, python-library, python3
Language: Jupyter Notebook
Homepage:
Size: 95.7 KB
Stars: 24
Watchers: 2
Forks: 9
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

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README

        
 Pandas Solved Exercise    


**I'm sharing my Kaggle Pandas Course - Exercise Notebook which I have solved while undertaking this course in my journey of Data Science.** 

For more detials, refer: [Data Analyst Roadmap](https://github.com/mrankitgupta/Data-Analyst-Roadmap) :hourglass:,  [Python Lessons](https://github.com/mrankitgupta/PythonLessons) 📑 &  [Python Libraries for Data Science](https://github.com/mrankitgupta/PythonLibraries) 🗂️

### Overview of Pandas - Python Library

The **Pandas Library** is arguably the most important library in the Python Data Science stack. It is the library of choice for working with small to medium sized data (anything that isn't quote-unqutoe "big data"). Much to most of the data manipulation that's done in the Python world is done using Pandas memory structures and tools, making it one of the most important libraries in the ecosystem.

Certifications 📜 🎓 ✔️


- [Data Analysis with Python](https://github.com/mrankitgupta) - by IBM

 

- [Data Visualization with Python](https://github.com/mrankitgupta) - by IBM

- [Numpy](https://olympus1.mygreatlearning.com/course_certificate/IQVNJSIN) & [Matplotlib](https://olympus1.mygreatlearning.com/course_certificate/RNVTUIMW) - by Great Learning 

- [Databases and SQL for Data Science with Python](https://github.com/mrankitgupta) - by IBM

- [Statistics for Data Science with Python](https://www.credly.com/badges/354576a0-b672-4245-8cad-82dc3f3df76f/public_url) - by IBM

## Pandas   - Python Library for Data Science by Kaggle 

**Prerequisite:** [Python Lessons](https://github.com/mrankitgupta/PythonLessons) 📑

|**Sr.No. 🔢**|**Lessons 📕**| **Reference Links :link:**| **Exercises 👨‍💻**|

|------|--------------------|---------------------|---------------------|

|1| Basics, Data Structures - Series, DataFrame, Panel | [Pandas Course - by Kaggle](https://www.kaggle.com/learn/certification/mrankitgupta/pandas) | [Exercise 1](https://www.kaggle.com/code/mrankitgupta/pandas-1-exercise-creating-reading-and-writing/notebook) |

|2| **Summary Functions and Maps, Operations** - Slicing, Merging | [Kaggle Notebooks on Pandas](https://www.kaggle.com/mrankitgupta/code) | [Exercise 2](https://www.kaggle.com/code/mrankitgupta/pandas-2exercise-indexing-selecting-assigning) |

|3| **Operations** - Joining, Concatenation | [GitHub Repo on Pandas](https://github.com/mrankitgupta/Kaggle-Pandas-Solved-Exercises) | [Exercise 3](https://www.kaggle.com/code/mrankitgupta/pandas-3-exercise-summary-functions-and-maps) |

|4| Changing Index & Column Header, Data Munging | [JavaTpoint](https://www.javatpoint.com/python-pandas)| [Exercise 4](https://www.kaggle.com/code/mrankitgupta/pandas-4-exercise-grouping-and-sorting) |

|5| Grouping & Sorting, Data Types & Missing Values | [YouTube](https://www.youtube.com/watch?v=WGJJIrtnfpk&t=30498s)| [Exercise 5](https://www.kaggle.com/code/mrankitgupta/pandas-5-exercise-data-types-and-missing-values) |

|6| Renaming and Combining | [TutorialsPoint](https://www.tutorialspoint.com/python_pandas/index.htm)| [Exercise 6](https://www.kaggle.com/code/mrankitgupta/pandas-6-exercise-renaming-and-combining) |

|7| Pandas-Matplotlib | :white_check_mark:| |

### Projects in Python 👨‍💻

|**Sr.No. 🔢**|**Projects 👨‍💻**| **Reference Links :link:**|

|------|--------------------|---------------------|

|**Python Project 1**| Spotify Data Analysis using Python | [GitHub Project](https://github.com/mrankitgupta/Spotify-Data-Analysis-using-Python) & [Kaggle Notebook](https://www.kaggle.com/code/mrankitgupta/spotify-data-analysis-using-python-project) |

|**Python Project 2**| Boston Housing Data Analysis using Python | [Project](https://github.com/mrankitgupta/Statistics-for-Data-Science-using-Python-Project) |

## Related Projects:question: 👨‍💻 🛰️

[Data Analyst Roadmap](https://github.com/mrankitgupta/Data-Analyst-Roadmap) :hourglass: 

[Spotify Data Analysis using Python](https://github.com/mrankitgupta/Spotify-Data-Analysis-using-Python) 📊

[Sales Insights - Data Analysis using Tableau & SQL](https://github.com/mrankitgupta/Sales-Insights-Data-Analysis-using-Tableau-and-SQL) 📊

[Statistics for Data Science using Python](https://github.com/mrankitgupta/Statistics-for-Data-Science-using-Python) 📊

[Python Lessons](https://github.com/mrankitgupta/PythonLessons) 📑

[Python Libraries for Data Science](https://github.com/mrankitgupta/PythonLibraries) 🗂️

### Liked my Contributions:question:[Follow Me](https://github.com/mrankitgupta/):point_right: [Nominate Me for GitHub Stars](https://stars.github.com/nominate/) :star: :sparkles:

## For any queries/doubts 🔗 👇 

### [Ankit Gupta](https://bio.link/AnkitGupta)