https://github.com/ryanga09/digitalent_intermediatedatascience-selfpractice

A repository of self practice hands-on projects from DigiTalent’s Intermediate Data Science training, covering Data Screening, Data Object: Basic Analysis, Documentation & Construction, Model Design, Application of Modeling, Modeling Result Evaluation. Includes Jupyter notebooks and example code for practical learning.
https://github.com/ryanga09/digitalent_intermediatedatascience-selfpractice

data-exploration data-quality-verification data-science data-screening dataset digitalent komdigi notebook-jupyter notebooks python

Last synced: 4 months ago
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A repository of self practice hands-on projects from DigiTalent’s Intermediate Data Science training, covering Data Screening, Data Object: Basic Analysis, Documentation & Construction, Model Design, Application of Modeling, Modeling Result Evaluation. Includes Jupyter notebooks and example code for practical learning.

• Host: GitHub
• URL: https://github.com/ryanga09/digitalent_intermediatedatascience-selfpractice
• Owner: RyanGA09
• Created: 2025-07-23T13:05:22.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2025-08-11T10:36:20.000Z (10 months ago)
• Last Synced: 2025-08-11T12:26:48.793Z (10 months ago)
• Topics: data-exploration, data-quality-verification, data-science, data-screening, dataset, digitalent, komdigi, notebook-jupyter, notebooks, python
• Language: Jupyter Notebook
• Homepage:
• Size: 2.09 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# DigiTalent Intermediate Data Science - Self Practice

## 📅 Created On

July 2025

## 🗂️ Repository Structure

```bash

DigiTalent_IntermediateDataScience-SelfPractice/

├── data/                         # Contains raw/external datasets

│   └── Data_Nasabah.csv          # Local dataset

│

├── notebooks/                    # Jupyter notebooks

│   ├── self_practice-1.ipynb     # Data Screening

│   ├── self_practice-2.ipynb     # Data Object: Basic Analysis

│   ├── self_practice-3.ipynb     # Construction & Documentation

│   ├── self_practice-4.ipynb     # Model Design Strategy

│   ├── self_practice-5.ipynb     # Modeling Application

│   └── self_practice-6.ipynb     # Evaluation of Modeling Results

│

├── requirements.txt              # Python dependencies

├── README.md                     # Project overview and setup instructions

└── .gitignore                    # Files/folders to exclude from version control

```

## 🚀 How to Use

1. 📥 Clone this repository to your local machine:

   ```bash

   git clone https://github.com/RyanGA09/DigiTalent_IntermediateDataScience-SelfPractice.git

   ```

2. **Change Directory**

   ```bash

   cd DigiTalent_IntermediateDataScience-SelfPractice.git

   ```

3. **Open in VS Code**

   ```bash

   code .

   ```

4. 📦 Install the environment (recommended to use venv or conda):

   ```bash

   pip install -r requirements.txt

   ```

5. 📘 Open the notebook corresponding to the topic you want to learn and run the code cells sequentially.

## 👨‍💻 Author

Ryan Gading Abdullah

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