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https://github.com/carlosvinimsouza/dataanalysiswithpython
Learn Data Analysis using Libs Python (Numpy, Pandas, Matplotlib and Seaborn)
https://github.com/carlosvinimsouza/dataanalysiswithpython
data-analysis data-science free-code-camp matplotlib numpy pandas python python3 seaborn
Last synced: 19 days ago
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Learn Data Analysis using Libs Python (Numpy, Pandas, Matplotlib and Seaborn)
- Host: GitHub
- URL: https://github.com/carlosvinimsouza/dataanalysiswithpython
- Owner: CarlosViniMSouza
- Created: 2022-01-25T13:56:25.000Z (about 3 years ago)
- Default Branch: master
- Last Pushed: 2022-02-03T13:45:11.000Z (almost 3 years ago)
- Last Synced: 2024-11-12T07:35:18.939Z (3 months ago)
- Topics: data-analysis, data-science, free-code-camp, matplotlib, numpy, pandas, python, python3, seaborn
- Language: Jupyter Notebook
- Homepage: https://www.freecodecamp.org/news/how-to-analyze-data-with-python-pandas/
- Size: 710 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
[Course about Data Analysis with Python Course - Numpy, Pandas, Data Visualization](https://www.youtube.com/watch?v=GPVsHOlRBBI&ab_channel=freeCodeCamp.org)
[music](https://www.youtube.com/watch?v=DArzZ3RvejU&ab_channel=TrapNation)
The course is divided into 5 modules. Here is what the modules cover.
## Lesson 1: Python & Jupyter Fundamentals
```
° Installation and setup - Python & Jupyter
° Jupyter notebook & Lab walkthrough
° Types, variables, statements & expressions
° Functions, exceptions & scope
```
## Assignment 1 - Python Practice
```
° Solve word problems using variables & arithmetic operations
° Manipulate data types using methods & operators
° Use branching and iterations to translate ideas into code
° Explore the documentation and get help from the community
```
## Lesson 2: Numpy for data processing
```
° Numpy arrays
° Indexing
° Operations
° Numpy: advanced topics
```
## Assignment 2 - Numpy Practice
```
° Explore different ways to create Numpy arrays
° Manipulate, aggregate and combine arrays
° Apply broadcasting & vectorization techniques
° Explore Numpy docs and write a blog post
```
## Lesson 3: Pandas for working with tabular data
```
° Series
° Dataframes
° Operations
° Merging, Grouping & Joining
```
## Assignment 3 - Pandas Practice
```
° Read and write different file types using Pandas data frames
° Manipulate rows, columns, empty values in data frames
° Merge, join and query data from multiple data frames
° Explore interoperability between Numpy & Pandas
```
## Lesson 4: Visualization with Matplotlib and Seaborn
```
° Basic visualization with Matplotlib
° Beautiful visualizations with Seaborn
° Plotting directly from Pandas
° Other libraries: Plotly, Bokeh, Folium etc.
```
## Lesson 5: Exploratory Data Analysis: A Case Study
```
° Working with Images using PIL
° Loading a dataset with Pandas
° Operations with numpy
° Visualization with Matplotlib & Seaborn
```
## Course Project - Exploratory Data Analysis
```
° Find a real-world dataset of your choice online
° Use Numpy & Pandas to parse, clean & analyze data
° Use Matplotlib & Seaborn to create visualizations
° Ask and answer interesting questions about the data
```
## More links for studies:
## 💻 Code References
• First steps with Python: https://jovian.ai/aakashns/first-steps-with-python
• Variables and data types: https://jovian.ai/aakashns/python-variables-and-data-types
• Conditional statements and loops: https://jovian.ai/aakashns/python-branching-and-loops
• Functions and scope: https://jovian.ai/aakashns/python-functions-and-scope
• Working with OS & files: https://jovian.ai/aakashns/python-os-and-filesystem
• Numerical computing with Numpy: https://jovian.ai/aakashns/python-numerical-computing-with-numpy
• 100 Numpy exercises: https://jovian.ai/aakashns/100-numpy-exercises
• Analyzing tabular data with Pandas: https://jovian.ai/aakashns/python-pandas-data-analysis
• Matplotlib & Seaborn tutorial: https://jovian.ai/aakashns/python-matplotlib-data-visualization
• Data visualization cheat sheet: https://jovian.ai/aakashns/dataviz-cheatsheet
• EDA on StackOverflow Developer Survey: https://jovian.ai/aakashns/python-eda-stackoverflow-survey
• Opendatasets python package: https://github.com/JovianML/opendatasets
• EDA starter notebook: https://jovian.ai/aakashns/python-eda-stackoverflow-survey