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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) 19 reviews

197 learners

  • datalabpark
비전공자
파읎썬입묞
파읎선띌읎람러늬
데읎터시각화
Python
Pandas
data-visualization
streamlit
Seaborn

Reviews from Early Learners

What you will gain after the course

  • 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

4,384

Learners

125

Reviews

41

Answers

4.8

Rating

6

Courses

읎메음: pchaneui39@gmail.com

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

 

3천명읎 선택한챗GPT와 파읎썬윌로 죌식 자동맀맀 앱 및 웹 투자 늬포튞 만듀Ʞ 강의의 GPT-5 버전 출시 읎벀튞 진행 쀑!

GPT-4 êž°ë°˜ 강의의 Ʞ졎 수강생 분듀을 위핎 GPT-5 버전 신규 강의의 묎료 수강 신청 쿠폰을 드늜니닀.

ì°žì—¬ 방법은 아래 링크륌 찞고핎 죌섞요.

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

 

저서

-. 파읎썬 데읎터 분석 & 시각화 + 웹 대시볎드 제작하Ʞ

-. 챗GPT와 파읎썬윌로 죌식 자동맀맀 앱 및 웹 투자 늬포튞 만듀Ʞ 

 

앜력

-. POSTECH 공학박사 졞업

-. 뚞신러닝 êž°ë°˜ 반도첎 소자 성능 개선 연구

-. S 대Ʞ업 임직원 데읎터 사읎얞슀 강사

 

Curriculum

All

48 lectures ∙ (14hr 51min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

19 reviews

4.9

19 reviews

  • hawjdhi3362님의 프로필 읎믞지
    hawjdhi3362

    Reviews 3

    ∙

    Average Rating 5.0

    5

    6% enrolled

    非専攻者が聞くにも説明が難しくなくおいいようです。個人的には長すぎお冗長な説明が奜きではありたせんが、講矩が簡朔で、珟業ですぐに掻甚可胜な郚分だけ集䞭的に教えおもいいですね。

    • hosoo2015948님의 프로필 읎믞지
      hosoo2015948

      Reviews 1

      ∙

      Average Rating 5.0

      5

      6% enrolled

      専攻者でもなくプログラム扱ったこずもなくお難しくないかず心配をたくさんしたしたが、あたりにも簡単にじっくり説明しおくれおすごく理解になりたした 講矩ごずに分量が倚くなく、コンテンツが簡朔で隙間が芋えおよかったです:)良い講矩ありがずうございたすし、新しい講矩も楜しみにしおいたす

      • junmin04105959님의 프로필 읎믞지
        junmin04105959

        Reviews 1

        ∙

        Average Rating 5.0

        5

        6% enrolled

        ずおも簡単でゆっくり教えおくれお初めお始める私もよく぀いお行けたすよ Python しなければならなくお始めるようになりたしたが、挢講矩に内容も倚くなく、䞀぀のテヌマに぀いお詳しく説明しおもらっおいいです。 半導䜓実務者なのに、、これよく䜿えば実務でずおも圹に立぀ようですねㅎㅎ実務者におすすめです

        • buriwangburi2321님의 프로필 읎믞지
          buriwangburi2321

          Reviews 3

          ∙

          Average Rating 5.0

          5

          31% enrolled

          デヌタ分析によく䜿われ、すぐに掻甚できる内容を焌酎剀に分けお切っお聎きやすく、必芁な郚分を先に聞くのも楜ですね いい講矩ありがずうございたす。

          • hyesangpark9618님의 프로필 읎믞지
            hyesangpark9618

            Reviews 2

            ∙

            Average Rating 4.5

            5

            100% enrolled

            $34.10

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