Introduction to practical data analysis in Python using stock and marketing data for non-majors and liberal arts students

Rookie
10 chapters · 11 hours 25 minutes
English · Japanese · Korean|Audio Korean

Skills You’ll Learn

Python basics

Assuming you're learning to code for the first time, you'll learn Python from the basics.

Stock data analysis

Let's analyze stock data and perform backtesting using Python.

Ad campaign analysis

We will analyze the efficiency of advertising campaigns through data analysis.

I've never encountered coding
For non-majors, liberal arts students, and beginners
This is an introductory course on Python data analysis.

Learn with hands-on examples that touch you

Python and data analysis

Have fun learning Python/data analysis with accessible examples rather than difficult grammar. You'll learn Python and data analysis step by step by following the code yourself. 👨‍💻😆


Python is easy to learn

수업 커리큘럼_ 기초 예제1

▶ ︎ Class Curriculum_ Basic Example 1


 수업 커리큘럼_ 기초 예제2

▶ ︎ Class Curriculum_ Basic Example 2


Using Python

Through stock data analysis

Let's proceed with a quant investment

Instead of investing in stocks or investing based on persimmons, you can now backtest your strategy with past data through Python data analysis and discover meaningful investment strategies that are profitable.


What type of industry has the best yield?

Analyze the yield by industry

업종별 수익률 그래프


Let's verify my stock investment strategy with past data!


What is the share of each industry in Korea's stock market?



Who should I show my ad to?

Develop smart marketing strategies through data analysis

Who should I show my ad to? Now let's analyze the conversion rate of advertising campaigns through Python data analysis, run the most efficient advertising campaign based on logical grounds, and proceed with smart performance marketing.


Who should I show my ads to?

Measure the performance of Facebook ad campaigns!

수업 커리큘럼_ 실전 예제1

▶ ︎ Class Curriculum_ Practical example 1


Which department sold the most products?

Analyze sales by department

수업 커리큘럼_ 실전 예제2

▶ ︎ Class Curriculum_ Practical Example 2


What features are helpful?

Let's remove unnecessary features through correlation analysis

상품 판매량에 영향을 주는 요인을 살펴보자

▶ ︎ Let's look at the factors that affect product sales


Through Python data analysis

Get your own weapon that surpasses Excel

If you are an employee or investor, you probably have experience using Excel for business data analysis and stock analysis. If you make good use of Excel at this time, you will be able to achieve higher work results. If you learn Python data analysis, you can perform this process several times more efficiently than using Excel. As a result, high results can be achieved naturally.


2기 수강생 박ㅇㅇ님 수강후기

▶ ︎ Course review from 2nd year student Park


2기 수강생 민ㅇㅇ님 수강후기

▶ ︎ Course review from 2nd year student Min


 3기 수강생 박ㅇㅇ님 수강후기

▶ ︎ Course review from 3rd year student Park


It's not difficult at all if you just learn Python data analysis, get rid of vague fears, and just learn. Nowadays, elementary school students are also learning coding at school. Everyone too Have fun, expand your horizons, and expand your career through learning coding and data analysis Experience it!

Class Kit · Coaching Session

🧑‍💻 Get 1:1 coaching on Python and data analysis!

  • You can ask 2 questions per coaching session.
  • For each question, we will write an answer of around 250 characters and send it to you.
  • You can get advice on career counseling and study directions related to Python and data analysis.
  • We'll also guide you on how to review and prepare a data analysis portfolio.
  • For questions related to other classes, we will wholeheartedly coach you within the limits of your answers.
  • Coaching is answered sequentially by the borrower based on the date the questions were received. This may take at least 7 to 10 days.
  • The coaching ticket can be used for 20 weeks from the date of purchase.
  • If not used within the period, no refund will be given.


User program guide

  • creator AiSchool's PC is a MAC operating system, The class in question Anaconda program (conda 4.10.1 version) It will be conducted using.
  • In this installation guide, we recommend that you carefully read all the steps described in the course before installing.

Curriculum

Creator

AISchool X Daniel Park

AISchool X Daniel Park

I majored in artificial intelligence and computer vision at Seoul National University. Over the past 6 years, I have taught Python, artificial intelligence, and data analysis techniques to over 1000 non-majors/majors. By combining past experiences, I have prepared a course so that you can learn as fun and efficiently as possible. Currently, I am lecturing on artificial intelligence, Python, image recognition, and stock data analysis at large companies such as Infrastructure, Wanted, Fast Campus, Samsung, and Hyundai, and providing AI consulting services for enterprises.

AISchool

AISchool

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Notes on Copyright Protection

  • All videos and materials included in the class are protected intellectual property under relevant laws.
  • You may face legal action if you copy, distribute, transmit, modify or edit the videos or materials included in the class without permission.
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