강의

멘토링

로드맵

Data Science

/

Data Analysis

Python data analysis essential for successful marketers and MDs

Marketing and MD departments are departments that spend money, so it is important to be clear on how to spend money. We have removed unnecessary content and only included functions that are absolutely necessary for practical use. We will help you come up with a perfect plan based on data.

(4.0) 21 reviews

277 learners

  • longvacation
데이터를 보는 방법
커리어 부스터
Python
Web Crawling

Reviews from Early Learners

What you will learn!

  • Python

  • Data Analysis

  • Product Characteristics (Strengths/Weaknesses) Analysis

  • Crawling Automation

MDs and marketers who communicate with data
= The most capable person 🥰

Python Data Analysis for Marketers/MDs🤖

Since sales departments like marketing and MD have to spend money, it is important to clearly explain how to spend the money.
We don't just play with numbers; we help you develop a perfect plan based on data and analyze product direction.

✨Benefits of this course

  • It contains key content that is easy to understand and can be immediately applied to your work .
  • We'll be using Google Colab, which allows you to write code directly in your browser without installing a programming language. Therefore, a Gmail account is required .
  • Since all code is provided in open source form, it can be applied even if you do not understand it.

I recommend this to these people 🙋‍♀️

I don't know how to draw

Anyone with no Python knowledge but who wants to learn (visualization, analysis, data prediction, etc.)

Automation rubber

Those who want to automate/enhance work through crawling of large amounts of data (popular search terms, etc.)

Analysis Dream Tree

Anyone who wants to conduct a SWOT analysis of their product (review-based strengths/weaknesses analysis)

Capacity UP

Anyone who wants to enhance their personal capabilities through learning Python and contribute to their company's sales.

  • We recommend listening to the lecture at 1.25x speed .

After taking this course you will 📜


1) You can automate repetitive website-related tasks through crawling automation (Section 8).

2) You can analyze product strengths and weaknesses through natural language processing.


3) Naver review, rating information - Correlation analysis between product sales is possible.


4) You can crawl Naver reviews and ratings (as well as other sites).

Crawling Naver reviews and ratings information

Crawling popular searches by category


5) Future sales prediction is possible through factor analysis.


6) Data-based analysis is possible to determine which factors had the greatest impact on sales.


What you'll learn 📚

April 25, 2022 (Added) Section 7. Saving Crawling Data to a DB
2022.11.14 (Added) Section 8. Crawling & Web Automation (Real-time storage of popular search rankings) - For details, please refer to Section 8. Free Lecture Content.

Section 0. Overview

Section 1. Prerequisites: Description of required setup environment and basic HTML knowledge.

Section 2. Crawling for the information you want from Naver Shopping

Section 3. Advanced Analysis Based on Crawling Data

Section 4. Data Visualization: A description of the library used to visualize data.

Section 5. Data Prediction: Sales Prediction and Product Sales Characteristics Analysis Using Prophet


Expected Questions Q&A 💬

Q. Is this a course that non-majors can also take?

This course is for non-majors. It focuses on content that's easy for anyone to understand and follow.

Q. Is there anything I need to prepare before attending the lecture?

You'll need a computer and a Gmail account. We'll be using Colab, a Python solution provided by Google.

Q. What level of content is covered in the class?

The course focuses on practical application. Rather than delving deeply into the theoretical implications of each source code, we focus on simple explanations.
I've focused heavily on functional implementation, so it's natural that there will be parts you don't understand. However, even if you don't understand, it won't hinder the achievement of the course objectives.


Introducing the Knowledge Sharer ✒️

History

  • (Former) Samsung Electronics S.LSI Business Division
  • (Former) Lotte Department Store IT Team Backend Developer
  • (Former) eBay order payment backend developer
  • (Current) Developer at a major domestic e-commerce company
  • Frip has a history of conducting lectures for non-majors.

Recommended for
these people

Who is this course right for?

  • Marketer

  • Brand Manager

  • MD

  • Anyone who wants to try data analysis and visualization with Python

Need to know before starting?

  • Basic Excel Use

Hello
This is

461

Learners

36

Reviews

60

Answers

4.6

Rating

3

Courses

프로그래밍과 여행 그리고 아내를 사랑하는 개발자

Curriculum

All

46 lectures ∙ (5hr 37min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

21 reviews

4.0

21 reviews

  • 윤소영님의 프로필 이미지
    윤소영

    Reviews 1

    Average Rating 5.0

    5

    5% enrolled

    파이썬 입문자가 듣기 좋은 강의였습니다. 저는 퍼포먼스 마케터인데 코딩도 잘하게되면 좋을 것 같아서 신청을 했고요, 코딩쪽을 잘 알지못하던 상태에서 듣기 시작했는데 많은 도움이 되었어요. 그리고 질문하기 기능도 도움이 되었어요. 답변도 바로 해주셨고요, sql 쪽도 문의를 드렸었는데 추가강의까지 구성해주셔서 정말 감사했습니다.

    • 최도연(Daniel/)님의 프로필 이미지
      최도연(Daniel/)

      Reviews 2

      Average Rating 5.0

      5

      100% enrolled

      .....

      • 초보생님의 프로필 이미지
        초보생

        Reviews 1

        Average Rating 5.0

        5

        20% enrolled

        차근차근 개념 설명해주시고, 이해 가기 쉽게 설명해주는 강의였습니다. 지식 함양에 도움이 됐습니다!

        • 도전적인 사자님의 프로필 이미지
          도전적인 사자

          Reviews 1

          Average Rating 5.0

          5

          14% enrolled

          비전공자인데 파이썬이라는 프로그래밍언어로 마케팅 데이터 분석할때 유용하다고 들어서 수강했습니다. 아무것도 모르는 비전공자가 듣기에도 매우 쉽게 설명해주셔서 도움이 많이 됐습니다😃😃😃😃

          • 이병정님의 프로필 이미지
            이병정

            Reviews 2

            Average Rating 5.0

            5

            5% enrolled

            자사 제품에 대한 특성 분석이나, 외부 경쟁사의 제품에 대한 리뷰를 하기에 도움이 많이 됐습니다. 그리고 카테고리에 대한 인기순위 관련 크롤링 내용이 있는데 도움이 되서 잘 쓰고 있습니다. 잘 들었습니다. 감사합니다.

            Access is restricted to non-public courses.
            Private Course

            longvacation's other courses

            Check out other courses by the instructor!

            Similar courses

            Explore other courses in the same field!