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[10月定期トレーニングセッションの再表示] LLM（巨大言語モデル）とデータ分析の自動化
HEARTCOUNT
コーディングを必要としない無料データ可視化ツール＆＃x27; HEARTCOUNT（ハートカウント）＆＃x27;データの学習やツールの習得に費やす時間を使用して、データから仕事に必要な情報を見つけることができます。
입문
Data literacy
Data Understanding and Visualization Fundamentals for Beginners (Theory + Practice)
We cover the data literacy required to become an organization/individual that handles data well, as well as the basic theory of data visualization. Build a solid foundation to utilize data “well.”
Reviews from Early Learners
What you will learn!
Data Literacy
Fundamentals of EDA(Exploratory Data Analysis)
Anyone can use data "well" 📊
The lecture topic and background are... 🌝
This lecture aims to lay the foundation for “good” use of data.
Data can be utilized most effectively when practitioners, even those who are not data experts, are empowered to handle it proactively. Furthermore, self-service tools, which allow practitioners to utilize data directly, are becoming increasingly popular. To adapt to this shift, practitioners should prioritize interpreting visualizations and finding insights, rather than investing time in becoming experts in statistics or coding. Accordingly, this course focuses on the most fundamental yet crucial aspects of data utilization for practitioners.
This lecture is for these people!
- I want to work with data, but I don't know how to start 🥺
- I'm already using the data, but I'm wondering if this is the right thing to do 🤔
- It seems like a lie that you don't need to study statistics or coding basics to use self-service tools 😥
I'll solve it for you 👍
- This course begins with an introduction to data literacy and covers the fundamentals of visual and exploratory analysis. It will lay a solid foundation for working with data.
- Through hands-on training, you can immediately apply data to real-world applications.
This lecture is 📢
- This short and concise lecture covers the fundamental concepts needed to handle data. Just by attending this lecture, you'll gain a sense of why, how, and where to utilize data.
- We also provide free self-service tools and example datasets . In the hands-on lectures, try them out yourself. This will help you gain a faster and more accurate understanding.
- Are you having trouble studying on your own? There's a dedicated community where you can share and study relevant content. ( See dedicated community )
- Those who complete the course will receive a certificate of completion! If you would like to receive your certificate, please email us. ( Certificate request email address: support@idk2.co.kr )
This is how we learn 📚
💾 Check out what you need to learn.
- Along with the lectures, we'll provide links to blog posts that you might find useful to read, along with PDFs of the lecture-related materials.
- We'll also provide a self-service data tool for your practice. ( See tool details )
- Just bring your passion for data learning :D
Introducing the instructor 👏
- Current CEO of IDK Squared Co., Ltd.
- Former IT Director at Samsung SDS / Yahoo Korea / UBS Securities / Citi Securities (2003-2012)
- Experience in data education for businesses and individuals
Detailed history
- 2016, Samsung Electronics, HR (People) Analytics, Human Resources Manager/Data Analyst
- 2016, Samsung SDS & Samsung Economic Research Institute, Data Analysis
- 2016, Hanwha Group, HR Analytics, Group HR Manager & IT
- 2016, Kakao, Machine Learning and Data Analysis, Field Department Employees
- 2017, McDonald's, Data Analysis, All Employees
- 2017, Global HR, HR Analytics, Human Resources Manager
- 2017, Central Economic HR Training Institute, HR Analytics, Human Resources Manager
- 2017, hosted by the Korea Human Resources Management Association, The Fourth Industrial Revolution and HR, Human Resources Managers
- 2017, SK Group (Group Training Center), HR Analytics, Group Human Resources Manager
- 2017, Oracle, Machine Learning and Advanced Analytics, Full Staff (Sales and Marketing Focus)
- 2017, SK Hynix, Text Analysis, IT Department
- 2017, Central Economic HR Education Institute, HR Science School, Human Resources Manager
- 2017, PoscoICT, Data Literacy (Data Analysis), All Employees
- 2017, SKT, Data Literacy Camp, Company-wide common course
- 2018, Hyundai Motor Company, HR (People) Analytics, Human Resources Manager/Data Analyst
- 2018, Amorepacific, HR (People) Analytics, Human Resources Manager
- 2018, 11th Street/Hunet, etc., Data Literacy, Field (planners, designers, developers, etc.)
- 2018, Korea Human Resources Management Association/Hanla Group, People Analytics, HR
- 2018, Hyundai Motor Group HR Forum, People Analytics, Group HR
- 2019, SK Innovation, Data Literacy, Company-wide Course
- 2019, DBR Gwanghwamun School, People Analytics, HR Manager
- 2019, ADT Caps, Data School, Field Selection
- 2019, GS Shop, Data Utilization Training, Field Department Personnel
- 2020 Global Talent Forum: The Future of Big Data Human Resources Management
- 2021, Lotte Group, Data Utilization Training, HR Manager
- 2021, Lotte Information & Communication, Data Utilization Training for New Employees, All New Employees
- 2022, Data Hero Camp 1st Session, Open to All Occupations
- 2022 Data Hero Camp 2nd Session, Marketing Professionals
- 2022 Data Hero Camp 3rd Session, HR Professionals
Q&A 💬
Q. Is it okay if I don't have basic knowledge of statistics or coding?
Yes, that's fine. This lecture is intended to help practitioners without any prior knowledge utilize data. Even those with some prior knowledge will find it helpful in organizing their knowledge.
Q. Will taking this course enable me to immediately make business decisions using data?
Yes, it's possible. We'll provide you with an easy-to-use, self-service visual analytics tool and provide hands-on training. By applying this tool in your work, you'll quickly develop your analytical skills. 😎
Q. Where can I access the self-service tools?
You can use it for free by logging in to the HeartCount official page !
Recommended for
these people
Who is this course right for?
For those who want to understand data
Anyone who wants to learn the basics of data visualization
2,828
Learners
69
Reviews
4.7
Rating
16
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Curriculum
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21 lectures ∙ (1hr 21min)
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22 reviews
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