0PeterAdel
DEPI-Data-Analysis
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DEPI Data Analysis Materials A repository of resources for the DEPI Data Analysis program, including PDFs, recorded video lectures, and assignments. This repository is designed to support learning by providing comprehensive study materials, practical exercises, and useful references in data analysis.

Last updated Feb 10, 2026
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README

DEPI Data Analysis Materials

This repository contains all materials for the 2024 DEPI Data Analysis Program directed by the Ministry of Communications, organized by week. It includes PDF files, recorded video lectures, assignments, and additional notes to support learning.

This repository has been created by @PeterAdel to share materials for the DEPI Data Analysis Program. The purpose of this repository is to support your journey in data analysis by providing essential resources, including PDFs, recorded video lectures, assignments, and notes.

Feel free to explore and utilize these materials to enhance your learning experience. For more about my work and projects, check out my My Portfolio and connect with me on My LinkedIn.


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Folder Structure

The main folder structure is organized as follows:

DEPI-Data-Analysis-Materials/
โ”œโ”€โ”€ DEPI-Data-Analysis-2025/
โ”‚   โ”œโ”€โ”€ Week01/
โ”‚   โ”‚   โ”œโ”€โ”€ 1.Technical Session
โ”‚   โ”‚   |   โ”œโ”€โ”€ Material-PDF/
โ”‚   โ”‚   |   โ”œโ”€โ”€ Lecture-Records/
โ”‚   โ”‚   |   โ”œโ”€โ”€ Assignments/
โ”‚   โ”‚   |   โ””โ”€โ”€ Notes/
โ”‚   โ”‚   โ”œโ”€โ”€ 2.Technical Session
โ”‚   โ”‚   |   โ”œโ”€โ”€ Material-PDF/
โ”‚   โ”‚   |   โ”œโ”€โ”€ Lecture-Records/
โ”‚   โ”‚   |   โ”œโ”€โ”€ Assignments/
โ”‚   โ”‚   |   โ””โ”€โ”€ Notes/
โ”‚   โ”‚   โ”œโ”€โ”€ 3.Skills Session
โ”‚   โ”‚   |   โ”œโ”€โ”€ Material-PDF/
โ”‚   โ”‚   |   โ”œโ”€โ”€ Lecture-Records/
โ”‚   โ”‚   |   โ”œโ”€โ”€ Assignments/
โ”‚   โ”‚   |   โ””โ”€โ”€ Notes/
โ”‚   โ”œโ”€โ”€ Week02/
โ”‚   โ”‚   โ”œโ”€โ”€ 1.Technical Session
โ”‚   โ”‚   |   โ”œโ”€โ”€ Material-PDF/
โ”‚   โ”‚   |   โ”œโ”€โ”€ Lecture-Records/
โ”‚   โ”‚   |   โ”œโ”€โ”€ Assignments/
โ”‚   โ”‚   |   โ””โ”€โ”€ Notes/
โ”‚   โ”‚   โ”œโ”€โ”€ 2.Technical Session
โ”‚   โ”‚   |   โ”œโ”€โ”€ Material-PDF/
โ”‚   โ”‚   |   โ”œโ”€โ”€ Lecture-Records/
โ”‚   โ”‚   |   โ”œโ”€โ”€ Assignments/
โ”‚   โ”‚   |   โ””โ”€โ”€ Notes/
โ”‚   โ”‚   โ”œโ”€โ”€ 3.3.Skills Session
โ”‚   โ”‚   |   โ”œโ”€โ”€ Material-PDF/
โ”‚   โ”‚   |   โ”œโ”€โ”€ Lecture-Records/
โ”‚   โ”‚   |   โ”œโ”€โ”€ Assignments/
โ”‚   โ”‚   |   โ””โ”€โ”€ Notes/
โ”‚   โ”œโ”€โ”€ Week03/
โ”‚   โ”‚   โ”œโ”€โ”€ 1.Technical Session
โ”‚   โ”‚   โ”œโ”€โ”€ 2.Technical Session
โ”‚   โ”‚   โ””โ”€โ”€ 3.3.Skills Session
โ”‚   โ””โ”€โ”€ ...
โ”‚   โ””โ”€โ”€ Final Project/
โ”œโ”€โ”€ CVs & Interviews - Blended Session/
โ”œโ”€โ”€ Freelancing Platforms - Blended Session/
โ”œโ”€โ”€ Personal branding & LinkedIn - Blended Session/
โ”œโ”€โ”€  Final Project/
โ”œโ”€โ”€ Assets/
โ”œโ”€โ”€ README.md
โ””โ”€โ”€ LICENSE

Course Materials

DEPI Data Analysis 2025

Each week in the DEPI-Data-Analysis-2025 folder will include the following:

  • Week_01
- 1.Technical Session - Material-PDF: PDFs containing all course materials for Week 01. - Lecture-Records: Video recordings of lectures delivered in Week 01. - Assignments: Assignments and exercises for Week 01. - Notes: Additional notes and references for Week 01. - 2.Technical Session - Material-PDF: PDFs containing all course materials for Week 01. - Lecture-Records: Video recordings of lectures delivered in Week 01. - Assignments: Assignments and exercises for Week 01. - Notes: Additional notes and references for Week 01.

- 3.Skills Session - Material-PDF: PDFs containing all course materials for Week 01. - Lecture-Records: Video recordings of lectures delivered in Week 01. - Assignments: Assignments and exercises for Week 01. - Notes: Additional notes and references for Week 01.

  • Week_02
- 1.Technical Session - 2.Technical Session - 3.Skills Session
  • Week_03
- 1.Technical Session - 2.Technical Session - 3.Skills Session
  • Final Project
- Final Project: Details and materials for the final project.

Other Sessions


License

This repository is licensed under the MIT License.


Contributing

Feel free to contribute by suggesting improvements or adding materials. Please fork the repository and create a pull request.


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