
ChatGPT 실무에 100% 활용하기
longvacation
불필요한 내용은 전부 제외하고, ChatGPT 100% 활용법을 "핵심"만 알려드립니다. 잘 활용한다면 MD, 마케팅 업무를 10배 빠르게 하실 수 있을 거예요.
Beginner
ChatGPT, Python, 웹 크롤링
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.
Python
Data Analysis
Product Characteristics (Strengths/Weaknesses) Analysis
Crawling Automation
MDs and marketers who communicate with data
= The most capable person 🥰
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
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.
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
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.
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
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.
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
All
46 lectures ∙ (5hr 37min)
Course Materials:
All
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