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Data Science

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Data Analysis

Let's get off work 5 minutes early! Python data analysis, visualization, and web dashboard creation

No more encyclopedia-like lectures from A to Z! A reference lecture that only collects the best that can be applied directly to real life!

(4.9) 16 reviews

179 learners

  • datalabpark
비전공자
파이썬입문
파이선라이브러리
데이터시각화
Python
Pandas
data-visualization
streamlit
Seaborn

Reviews from Early Learners

What you will learn!

  • Python data analysis basics and useful practical application tips!

  • Python data visualization basics and useful practical application tips!

  • Create a super-simple data web dashboard!

◆Let's leave work 5 minutes early! Python data analysis & visualization + web dashboard creation◆

◆ Recommended for these people ◆

◆ Features of this course ◆

No more encyclopedia-like lectures! More reference-based lectures that focus on the essentials!

◆ Learn these things ◆

Part 1. Pandas: From Basics to Practice for Handling Structured Data

We cover everything from the basics of Pandas, the national library for handling structured data through Python, to essential methods and tips for practical use.

Part 2. From Basic to Practical Python Visualization

We cover Python's representative data visualization libraries, Matplotlib and Seaborn, as well as the more modern Plotly library.

Learn practical data-visualization methods and tips for drawing simple, clean graphs.

Part 3. Creating a Streamlit Web Dashboard Without Web Basics

Learn the basics of the Streamlit library, which allows you to easily create web dashboards without any prior web-related knowledge.

You'll learn how to build a simple web dashboard using a real-world dataset and gain insights from your data.

Hello! This is Parkgane Data Lab.

◆ I'm working at a well-known major corporation, focusing on process design and defect analysis based on big data analysis. I also serve as an in-house data science instructor and am deeply interested in Python workflow efficiency and data science, having been selected as one of 23 candidates out of over 2,000 for a Python workflow efficiency improvement program.

I first started learning Python to automate stock trading. Although it left a significant dent in my bank account, I realized its potential and leveraged it to improve work efficiency, achieving significant results. Building on this foundation, I now conduct various lectures and seminars under the motto, "Leave work 5 minutes earlier by improving work efficiency."

◆ I, too, experienced countless trials and errors while learning Python from scratch. With the hope that you won't experience the same trial and error, I've created this course with a generous dose of frequently used methods and essential tips.

You don't need to learn all of Python's syntax.

5-Hour Basic Python Grammar Course: Essentials Only

https://inf.run/CfpdM

How far can you go with ChatGPT?

Creating an Automated Stock Trading Application and Web Investment Reports with ChatGPT and Python

https://inf.run/f31Xt

Learn Python in real-world applications with ChatGPT!

5-Hour Basic Python Grammar Course: Essentials Only

https://inf.run/81VkU

🎁 Book Publication Notification 🎁

A book covering the content of this lecture has been published!

You can find it at the link below.

*Purchase is not required to take this course.


https://www.yes24.com/Product/Goods/124732783

<Kyobo Bookstore Online Bookstore Link>

https://product.kyobobook.co.kr/detail/S000212156545

🎁 Python Basic Grammar Course Review Event Now Underway! 🎁

We will be giving away a 10,000 won coupon for this course to those who write a detailed review of the basic grammar course!

Please refer to the link below for detailed event information!

https://inf.run/CfpdM

◆ Things prospective students might be curious about! ◆

Q. Why should I learn Python? How is it good for data analysis?

A representative example of a data analysis app widely used by the general public is Excel.

Excel is easy to use, but it's difficult to work with large data sets, and for automation and advanced analysis, you'll eventually need to learn VBA.

Python isn't just for data analysis. It's also for data analysis. Python is fast. You can automate repetitive tasks with simple scripts, and numerous free libraries for advanced data analysis are available.

You might feel there's a barrier to entry at first, but I believe this course will help lower that barrier. Once you overcome that initial barrier, I believe you'll be able to experience firsthand the tremendous potential Python holds in the field of data analysis.

Q. I'm new to Python. Will I have any trouble taking the course and applying it in real life?

I believe most people are looking for this course not because they can't analyze data, but because they want to do it more efficiently.

You've come to the right place, and while it might seem scary at first, like learning to ride a two-wheeled bike after riding a familiar tricycle, you'll be amazed at how much faster you can ride a two-wheeled bike than a tricycle!

◆ Notes before taking the course ◆

Practice environment

  • Operating System and Version (OS): Windows, macOS

  • Tools used: Jupyter lab

  • Please refer to the introduction of the lecture notes for the versions of Python and libraries used in the lecture.

Learning Materials

  • Lecture notes, example datasets, and source code provided!

  • A book on the same topic as this lecture is forthcoming! (Scheduled for January 2024; book not required.)


Player Knowledge and Precautions

  • Basic knowledge of Python (data types, etc.) is helpful, but not required!

  • Everyone has a first time. Just bring your passion and determination!

  • If you have any questions about the lecture content or related topics, please feel free to contact us!

  • Unauthorized distribution of lectures and lecture notes is prohibited.

  • If you like fast-paced lectures, please set the playback speed to 1.5x!

Recommended for
these people

Who is this course right for?

  • Anyone who wants to automate boring, repetitive data tasks!

  • Anyone who wants to leave work 5 minutes earlier by working efficiently!

  • Anyone who wants to learn practical, practical knowledge that can be applied immediately in a limited amount of time!

  • People who have taken similar lectures but find it difficult to apply them in real life!

  • Anyone who wants to create a dashboard to manage their own financial data!

Need to know before starting?

  • Python (recommended, but not required!)

  • Please refer to the lecture below for the core Python grammar.

  • https://inf.run/CfpdM

Hello
This is

3,777

Learners

80

Reviews

35

Answers

4.8

Rating

6

Courses

이메일: pchaneui39@gmail.com

블로그: https://blog.naver.com/parksdatalab

 

3천명이 선택한챗GPT와 파이썬으로 주식 자동매매 앱 및 웹 투자 리포트 만들기 강의의 GPT-5 버전 출시 이벤트 진행 중!

GPT-4 기반 강의의 기존 수강생 분들을 위해 GPT-5 버전 신규 강의의 무료 수강 신청 쿠폰을 드립니다.

참여 방법은 아래 링크를 참고해 주세요.

https://blog.naver.com/parksdatalab/223994314549

 

저서

-. 파이썬 데이터 분석 & 시각화 + 웹 대시보드 제작하기

-. 챗GPT와 파이썬으로 주식 자동매매 앱 및 웹 투자 리포트 만들기 

 

약력

-. POSTECH 공학박사 졸업

-. 머신러닝 기반 반도체 소자 성능 개선 연구

-. S 대기업 임직원 데이터 사이언스 강사

 

Curriculum

All

48 lectures ∙ (14hr 51min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

16 reviews

4.9

16 reviews

  • hawjdhi님의 프로필 이미지
    hawjdhi

    Reviews 3

    Average Rating 5.0

    5

    6% enrolled

    비전공자가 듣기에도 설명이 어렵지 않아 좋은 것 같아요. 개인적으로 너무 길고 장황한 설명을 좋아하지 않는데, 강의가 간결하고 현업에서 바로 활용 가능한 부분만 집중적으로 알려줘서 좋네요.

    • Hosoo Jung님의 프로필 이미지
      Hosoo Jung

      Reviews 1

      Average Rating 5.0

      5

      6% enrolled

      전공자도 아니고 프로그램 다뤄본 적도 없어서 어렵지 않을까 걱정을 많이 했는데 너무 쉽게 차근차근 설명해주셔서 쏙쏙 이해가 됐습니다! 강의마다 분량이 많지 않고 컨텐츠가 간결해서 틈틈이 보기도 좋았구요 :) 좋은 강의 감사드리고 새로운 강의도 기대하겠습니다!!

      • 장준민님의 프로필 이미지
        장준민

        Reviews 1

        Average Rating 5.0

        5

        6% enrolled

        매우 쉽고 천천히 알려주셔서 처음 시작하는 저도 잘 따라갈 수 있어요!! 파이썬 해야지해야지 하다가 시작하게 되었는데, 한강의에 내용도 많지 않고 하나의 주제에 대해 상세히 설명해줘서 좋습니다. 반도체 실무자인데,, 이거 잘 쓰면 실무에서 엄청 유용할 것 같네요 ㅎㅎ 실무자들에게 추천합니다!

        • buriwangburi님의 프로필 이미지
          buriwangburi

          Reviews 3

          Average Rating 5.0

          5

          31% enrolled

          데이터분석에 자주 쓰이고 바로 활용할 수 있는 내용들을 소주제로 나눠서 끊어서 듣기 편하고 필요한 부분을 먼저 듣기도 편하네요 좋은 강의 감사합니다..

          • 박혜상님의 프로필 이미지
            박혜상

            Reviews 2

            Average Rating 4.5

            5

            100% enrolled

            $34.10

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