Practical Python Data Analysis: Basic to Practical

Hello! 😊

Do you want to become a data analyst but feel overwhelmed about where to start?

For those aiming to get a job as a data analyst in the North American market, such as the US and Canada, I have prepared a 17-week data analyst roadmap that allows you to build a practical, hands-on portfolio.

### 🎁 What's included in the free version

* 🗺 17-week learning roadmap

* 📊 Recommended datasets for practice

* 🧠 Learning order for Excel, SQL, Python, and Power BI

* 🎯 Portfolio project ideas

### 📥 Free Download

https://datasciencelab7.gumroad.com/l/zpwmvx

### 💎 What's in the Premium Version?

* Detailed weekly action plan

* Step-by-step project guide

* Practical portfolio project examples

* Sample interview preparation questions

* AI Prompts and Templates

* Additional study materials and bonus resources

### 🧩 Recommended For

* Beginners preparing to become data analysts

* Those aiming for employment in the US or Canada

* Professionals preparing for a career change

* Those who want to create a practical portfolio

※ The current roadmap content is provided in English.

We will provide a separate notice once the Korean translation is ready in the future.

Thank you! 😊

We are rooting for your data career journey! 🚀

Hello everyone, this is Data Science One! 👋

How are you? Today, I have prepared a special gift just for you, the students:

Sample PPT for capstone project presentation has been added!

👉 E-commerce Transaction Data Analysis (Python)
👉 Hotel Reservation Demand Data Analysis (R)

These real-world examples will help you prepare your own capstone project presentation.
It will give you inspiration on how to structure and express it .
Each 15-page sample PPT presents the following structure:

• Project Overview

• Exploratory Data Analysis (EDA)

• Key findings

• Strategic Proposal

• Final Conclusion

Where can I find it?
Updated lecture package in Python ZIP file
Please check the "Distribution Materials" folder !
You can check it right away in the newly downloaded file.

Thank you for continuing to be with us on your learning journey. 🚀
We will continue to add more useful materials in the future, so stay tuned!