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https://github.com/sevdanurgenc/python-for-data-science-lecture-notes
In this repo, I have the course contents of Python for Data Science training, which will be given to Siemens by the cooperation of Academy Peak Information Technologies Training and Consultancy between 28 June - 1 July 2022.
https://github.com/sevdanurgenc/python-for-data-science-lecture-notes
data-analysis data-mining data-modeling data-science data-structure data-visualization matplotlib-tutorial numpy-tutorial pandas-tutorial
Last synced: about 1 month ago
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In this repo, I have the course contents of Python for Data Science training, which will be given to Siemens by the cooperation of Academy Peak Information Technologies Training and Consultancy between 28 June - 1 July 2022.
- Host: GitHub
- URL: https://github.com/sevdanurgenc/python-for-data-science-lecture-notes
- Owner: SevdanurGENC
- License: mit
- Created: 2022-03-07T22:52:50.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-07-01T10:29:39.000Z (over 2 years ago)
- Last Synced: 2023-05-01T22:53:17.086Z (over 1 year ago)
- Topics: data-analysis, data-mining, data-modeling, data-science, data-structure, data-visualization, matplotlib-tutorial, numpy-tutorial, pandas-tutorial
- Language: Jupyter Notebook
- Homepage:
- Size: 8.54 MB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Python-For-Data-Science-Lecture-Notes
In this repo, I have the course contents of Python for Data Science training, which will be given to Siemens by the cooperation of Academy Peak Information Technologies Training and Consultancy between 28 June - 1 July 2022.
Bu repoda, 28 Haziran - 1 Temmuz 2022 tarihleri arasında Academy Peak Bilgi Teknolojileri Eğitim ve Danışmanlık işbirliği ile Siemens'e verilecek olan Veri Bilimi için Python eğitiminin ders içerikleri bulunmaktadır.
## 1. GÜN
- Python 101
- Statistic
## 2. GÜN
- Manipulation
- Preprocessing 01
## 3. GÜN
- Preprocessing 02
- Visualization 01
- WorkShop 01
## 4. GÜN
- Visualization 02
- Intro to Machine Learning
- WorkShop 02