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[10월 정기 교육 세션 다시보기] LLM(거대 언어 모델)과 데이터 분석의 자동화
HEARTCOUNT
코딩이 필요 없는 무료 데이터 시각화 툴 'HEARTCOUNT(하트카운트)'의 활용법을 다루는 열 번째 웨비나의 다시보기 영상입니다. 데이터 학습이나 툴을 익히는 데 드는 시간을 이제 데이터에서 업무에 필요한 정보를 찾는 데 사용하세요.
Beginner
데이터 리터러시
This book covers basic usage and data preprocessing methods for Python beginners/non-developers. As an appendix, we also provide a preprocessing method using the ChatGPT code interpreter.
Python Basics (Basic Grammar, Core Concepts)
Data preprocessing types that are frequently encountered in practice
Data preprocessing using ChatGPT code interpreter
Data Visualization
Even non-data professionals can quickly process the data they need
Have you ever felt hesitant to ask developers for help with simple data queries and preprocessing? Due to various reasons such as building a data-driven business culture, ad-hoc analysis, and productivity improvement, we've entered an era where non-developers who can handle Python are welcomed. HeartCount will help you get started.
You can automate repetitive tasks
Much faster than Excel, handling even large datasets with ease for preprocessing and analysis work! Try efficiently performing repetitive tasks that frequently occur in practical work, such as merging multiple sheets or files, and filtering to import only the data you need.
NO prior knowledge required! Just prepare your PC.
We explain from a beginner's perspective, using beginner-friendly language. In particular, you can easily review what you've learned through script-format Notion pages that contain detailed summaries of the lecture content.
The content is designed to be useful for non-developers and non-data professionals.
Most Python courses are tailored to the perspective of data engineers and data analysts, which can be confusing for practitioners whose main job isn't data-related when it comes to knowing how much they need to learn. This course is designed for practitioners who don't have data analysis as their main job but want to handle data to some extent using Python.
I've prepared this course with a focus on hands-on practice so you can quickly become familiar with Python.
You can quickly master what you've learned by doing code practice for every topic. At the end of the curriculum, we provide practice problems and model answers so you can review everything you've learned once more.
For life, pick and choose only the content you want to hear.
For those who urgently need to acquire knowledge right away, we have prepared a detailed curriculum that allows you to quickly select and listen to only the content needed for practical work. Conveniently learn the content you need whenever you need it
Communicate with community members to learn and grow more
Meet other students through the HEARTCOUNT community's Slack channel, and share knowledge and information by communicating with practitioners interested in data.
HEARTCOUNT Community Official Page>
Current) Senior Data Scientist at a Large Manufacturing Company
Ph.D. in Industrial Engineering (Main research areas: Data Science, Machine Learning, Mathematical Optimization)
Data science instructor specializing in data preprocessing using Python, machine learning automation systems, and related fields
Books:
Email: gils_lab@naver.com
Blog: https://gils-lab.tistory.com/
Theory that's easy for beginners to understand and hands-on practice to quickly make theoretical knowledge your own.
We've prepared it systematically. Check it out with the preview video.
This course uses Python in the Anaconda and Jupyter Notebook environment.
Anaconda and Jupyter Notebook can be installed and used on Windows, Linux, and macOS.
Installation is available at this link.
We provide the code used in the lecture exercises.
The course practical exercises are conducted in a Windows operating system environment.
Course Review Event
We will give a 10,000 won discount coupon for the Heart Count Data lecture to everyone who thoughtfully leaves a course review of 2 lines or more.
Lecture 1+3 Event
If you subscribe to HeartCount Premium (starting from 90,000 won per year), you can access all four data courses, each normally priced at 99,000 won, for free for life. (Please refer to the information box below for details)
SQL & Database Introduction by Instructor Kang Seong-wook (*Exclusive release for Heartcount users)
GA4 Introduction and Core Practical Applications by Instructor Kim Dong-woo
More will be added continuously in the future :)
🖱 Go Subscribe to HeartCount Premium
From individual record-level visualization to automatic chart interpretation, factor analysis, and optimization rule discovery.
With HeartCount, anyone can become an analyst.
Heart Count Login (Get Started with Google)
Click the 'Upgrade' button to subscribe to HeartCount Premium (starting from 90,000 won per year ~)
Check your inbox for the 'Free Data Course Coupon'
Access Inflearn > 'My Page' > 'Coupon Box' > 'Enter Discount Coupon Code'
Using Coupons on the Payment Page After Course Registration
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※ For related inquiries, please contact the support team at (support@idk2.co.kr).
Who is this course right for?
For those who are new to Python
For those who want to quickly learn Python through hands-on practice
Those who want to preprocess data using Python in practice
People who are not in the developer/data field but want to do simple data preprocessing themselves
People who need data automation
Those who need practical data lectures
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Learners
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Reviews
4.8
Rating
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Courses
엑셀 데이터셋과 질문만 있으면 누구나 쉽게 분석가가 될 수 있는 AI 데이터 분석 툴, HEARTCOUNT입니다.
실무자들을 위한 다양한 데이터 교육 콘텐츠를 만들고 있습니다.
하트카운트 사용해보러 가기 👉 하트카운트 홈페이지
더 많은 데이터 콘텐츠 👉 하트카운트 커뮤니티
All
26 lectures ∙ (4hr 43min)
Course Materials:
$77.00
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