https://github.com/letruongzzio/basic-tools-for-data-analysis-with-python

This is a sharing of what I learned in the field of Data Analysis. For ease of reading, the reader should know at least one programming language, and mathematics is essential.
https://github.com/letruongzzio/basic-tools-for-data-analysis-with-python

Last synced: 3 months ago
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This is a sharing of what I learned in the field of Data Analysis. For ease of reading, the reader should know at least one programming language, and mathematics is essential.

• Host: GitHub
• URL: https://github.com/letruongzzio/basic-tools-for-data-analysis-with-python
• Owner: letruongzzio
• License: apache-2.0
• Created: 2024-02-13T14:35:02.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-04-30T07:42:31.000Z (over 1 year ago)
• Last Synced: 2024-11-09T02:53:23.958Z (11 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 23.5 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# **Self-study Basic Data Analysis for beginners.**

Presents basic tools for Data Analysis. Content includes:

## 1 - Python Crash Course:

Presenting basic programming tools in Python, the first step for learners: [Python Crash Course.](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/blob/main/1%20-%20Python%20Crash%20Course/Python%20Crash%20Course.ipynb)

## 2 - Python for Data Analyst:

Instructions for using popular libraries such as $\text{Numpy}$ and $\text{Pandas}$.

+ [Numpy](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/tree/main/2%20-%20Python%20for%20Data%20Analyst/NumPy): [Numpy](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/blob/main/2%20-%20Python%20for%20Data%20Analyst/NumPy/NumPy.ipynb), [NumPy Operations](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/blob/main/2%20-%20Python%20for%20Data%20Analyst/NumPy/NumPy%20Operations.ipynb), [NumPy Indexing and Selection.](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/blob/main/2%20-%20Python%20for%20Data%20Analyst/NumPy/NumPy%20Indexing%20and%20Selection.ipynb)

+ [Pandas](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/tree/main/2%20-%20Python%20for%20Data%20Analyst/Pandas):

    + [Series.](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/blob/main/2%20-%20Python%20for%20Data%20Analyst/Pandas/Series.ipynb)

    + [DataFrames.](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/blob/main/2%20-%20Python%20for%20Data%20Analyst/Pandas/DataFrames.ipynb)

    + [Missing Data.](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/blob/main/2%20-%20Python%20for%20Data%20Analyst/Pandas/Missing%20Data.ipynb)

    + [Groupby.](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/blob/main/2%20-%20Python%20for%20Data%20Analyst/Pandas/Groupby.ipynb)

    + [Merging, Joining, and Concatenating.](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/blob/main/2%20-%20Python%20for%20Data%20Analyst/Pandas/Merging%2C%20Joining%2C%20and%20Concatenating.ipynb)

    + [Operations.](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/blob/main/2%20-%20Python%20for%20Data%20Analyst/Pandas/Operations.ipynb)

    + [Data Input and Output: CSV, Excel, HTML, SQL.](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/blob/main/2%20-%20Python%20for%20Data%20Analyst/Pandas/Data%20Input%20and%20Output.ipynb)

## 3 - Data Visualization:

Presents basic and necessary data visualization methods for Data Analysis.

+ [Matplotlib.](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/tree/main/3%20-%20Data%20Visualization/Matplotlib)

+ [Seaborn:](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/tree/main/3%20-%20Data%20Visualization/Seaborn)

    + [Categorical Plots.](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/blob/main/3%20-%20Data%20Visualization/Seaborn/Categorical%20Plots.ipynb)

    + [Distribution Plots.](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/blob/main/3%20-%20Data%20Visualization/Seaborn/Distribution%20Plots.ipynb)

    + [Grids.](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/blob/main/3%20-%20Data%20Visualization/Seaborn/Grids.ipynb)

    + [Matrix Plots.](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/blob/main/3%20-%20Data%20Visualization/Seaborn/Matrix%20Plots.ipynb)

    + [Regression Plots.](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/blob/main/3%20-%20Data%20Visualization/Seaborn/Regression%20Plots.ipynb)

    + [Style and Color.](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/blob/main/3%20-%20Data%20Visualization/Seaborn/Style%20and%20Color.ipynb)

+ [Plotly and Cufflinks.](https://github.com/letruongzzio/Basic-tools-for-Data-Analysis-with-Python/blob/main/3%20-%20Data%20Visualization/Plotly%20and%20Cufflinks.ipynb)

___

The repository is referenced in the course [Python for Data Science and Machine Learning Bootcamp](https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/?couponCode=ST2MT43024) by author Jose Portilla.