(2024 9월 개정판) ChatGPT 활용법, 생성 AI 프롬프트 엔지니어링 A to Z - 인공지능의 이해와 활용
Masocampus
나도 아이언맨의 완벽 비서 자비스가 있었으면…하고 생각했던 적이 있었다면?! 여러분의 현명한 일처리를 도와줄 모두의 자비스를 완성하세요!
입문
ChatGPT, 프롬프트엔지니어링, AI 활용 (AX)
Data Literacy Overview
A course that will help you collect, process, analyze, and visualize data to build the ability to make accurate decisions! Through this course, understand the Excel functions required for data analysis and derive the results you want!
What you will learn!
Understanding the basic concepts of data
Understanding the Data Science Process
Excel data analysis methods that can be used in practice
Effective expression skills through data visualization
Ability to derive data-driven insights
Data literacy can't be delayed any longer! 🔥
The power of data-driven decision making!
Of course, data collection, processing, and analysis methods
How to make decisions based on data
A comprehensive lecture with everything you need!
Through lectures at Maso Campus
Master data literacy! 💪
What is data literacy ? 📑
Digital literacy refers to the ability and skill to read, analyze, and use digital technologies, data, information, content, and media. American media educators Rubla and Bailey defined digital literacy as the ability to understand digital technology and know when and how to use it. Now, all human knowledge is stored digitally, freely available to anyone.
Technologies like artificial intelligence, big data, the cloud, and the Internet of Things are merely "tools" for us, and leveraging them to achieve results depends on the capabilities of the technician. Understanding the technological structure and developing the ability to appropriately utilize these tools is key to digital literacy, as it allows us to adapt and thrive in the changing digital age.
Data literacy skills
For those who want to raise it ✨
💁 Recommended for these people
- ✔️ Those who want to understand the digital environment
- ✔️ People who want to learn programming languages
- ✔️ Those who want to make accurate decisions through data analysis
- ✔️ Those who dream of starting a business/joining a company/changing jobs/re-skilling/talent transformation
🎲 After listening to this lecture
By taking the Data Literacy Overview course, you will gain the following capabilities:
- ✔️ Understand basic data concepts
- ✔️ Understand the data science process
- ✔️ Excel data analysis methods that can be used in practice
- ✔️ Effective expression skills through data visualization
- ✔️ Ability to derive data-driven insights
Key points of this lecture 👀
1️⃣ First, let's understand the data science process !
Feeling overwhelmed with data analysis and not knowing where to start? Don't worry! This course begins by understanding the data science process. It starts with a broad understanding of how data can be utilized and organized to achieve your goals, then moves on to the details, making it an excellent course for beginners!
2️⃣ We'll be with you through every step of the process, from data collection to decision-making!
This course demonstrates, through hands-on practice, how to collect data and how to use it to make decisions! Therefore, even data novices can quickly and easily learn data analysis methods!
3️⃣ Breaking down learning barriers: Setting up my Excel as a practical practice environment !
I'm diligently listening to the lectures and practicing... but my Excel functions are different from the instructor's?! (Tirori ⚡️) I don't even know the letter "X" in Excel... What should I do? For situations like this, I've prepared a [Practice Environment Setup] lecture so you can practice in a setting exactly like the actual practice environment! Let's set up Excel functions and practice step by step 😉
Learning content
Check it out 📚
Understanding the Data Science Process
Learn how to collect, process, and analyze data
Visualizing data
In this lecture
Knowledge sharer is ✒️
Check out the Q&A ! 💬
Q. Do I need to be proficient in Excel to follow the class?
You don't have to worry about basic skills because the instructor will go over each and every button you need to click.
Q. Are there any requirements or prerequisites for taking the course?
Since this is a hands-on course, we recommend bringing a dual monitor or a spare device that allows you to separate the lecture and practice screens. Furthermore, since the practical training will be conducted on a Windows OS, we recommend taking the course on a Windows environment.
✅ Please check before taking the class!
- Sound volume varies by lecture (unit). Depending on your viewing environment, the audio in certain videos may appear quieter. Therefore, please be sure to check the lecture preview before attending.
- Since this is a hands-on course, we recommend bringing a dual monitor or a spare device that allows you to separate the lecture and practice screens. Furthermore, since the practical training will be conducted on a Windows OS, we recommend taking the course on a Windows environment.
- Lecture notes and practice files are available in the <2. Textbook Download Center> section.
Recommended for
these people
Who is this course right for?
For those who want to understand the digital environment
For those who want to learn about programming languages
For those who want to make accurate decisions through data analysis
People who dream of starting a business/joining a company/changing jobs/re-skilling/talent transformation
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Learners
824
Reviews
95
Answers
4.7
Rating
85
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Curriculum
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23 lectures ∙ (2hr 33min)
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Lecture resources
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$15.40
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