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.
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
It was a great lecture for beginners in Python.
I'm a performance marketer, and I thought it would be good to learn how to code, so I applied. I started listening without knowing much about coding, but it was very helpful.
And the question-asking function was also helpful. They answered right away, and I also asked about SQL, so I was really grateful that they even organized additional lectures.
I am not a major, but I took the course because I heard that Python, a programming language, is useful for analyzing marketing data. It was very helpful because it was explained in a way that was easy to understand even for a non-major who knows nothing.😃😃😃😃
It was very helpful for analyzing the characteristics of our own products or reviewing external competitors' products.
And there is crawling content related to popularity rankings for categories, so I am using it well.
I listened well. Thank you.