effective-data-analysis

KO | EN

gitlite — search

#python #hacktoberfest #ai #golang #android #machine-learning #rust #deep-learning #linux #docker #nodejs #windows #awesome #awesome-list

effective-data-analysis

(★ 10)

Code and extra resources for the book Effective Data Analysis

effective-data-analysis 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Effective Data Analysis: Datasets, Code Examples, and Exercises

Welcome to the official GitHub repository for ![Effective Data Analysis](https://www.manning.com/books/effective-data-analysis). This repo contains the datasets, code examples, and exercises referenced in the book. Whether you're following along with the chapters or diving deeper into the material, this repository provides everything you need to practice and apply the concepts covered.

📖 About the Book
This book is a comprehensive guide to mastering data analysis, covering both technical and strategic skills essential for early to mid-career data analysts and data scientists. From asking the right questions to designing effective metrics, and from mastering data structuring to leveraging modern tools and technologies, this book equips you with the knowledge to succeed in any analytics role.

📁 Repository Contents
1. Datasets

Folder: datasets/
    Description: Contains all the datasets used in the book's examples and exercises. Each dataset includes a brief description and notes on its source or purpose.

2. Code Examples

Folder: examples/
    Description: Contains Python, SQL, and dbt code snippets illustrating the concepts and techniques discussed in the book. Organized by chapter for easy navigation.

3. Exercises

Folder: exercises/
    Description: Hands-on exercises to reinforce your learning. Each exercise includes instructions, starter code, and solution files where applicable.

🚀 Getting Started

### Clone the Repository:

```
git clone https://github.com/mona-kay/effective-data-analysis.git
cd effective-data-analysis
```

### Set Up Your Environment

Ensure you have Python installed (3.12 recommended).
Install required Python packages:

```
pip install -r requirements.txt
```
Explore the Folders
    Navigate to datasets/ to load the sample datasets.
    Open the examples/ folder for chapter-specific scripts.
    Complete the exercises in exercises/.

Run Examples
    Follow the instructions in the book to execute the code examples and explore the results.

📬 Contact

If you have questions or feedback about the repo or the book, reach out via GitHub Issues or connect on ![LinkedIn](https://www.linkedin.com/in/mona-khalil/).

effective-data-analysis

effective-data-analysis 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

effective-data-analysis

effective-data-analysis 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README