
No-Code AI Data Analysis Using Orange - Lv.0 Introduction to AI-Based Data Analysis
Masocampus
Easy and powerful data analysis anytime, anywhere! Simple with Orange 3, even if you don't know how to code!
Beginner
Orange3, Data literacy, No-code
We help marketing practitioners solve the "having data but being unable to reach a conclusion" problem through a practical routine—spanning problem definition, analysis, interpretation, and one-page reporting—combined with the use of ChatGPT.
21 learners
Level Beginner
Course period Unlimited

You can define data-driven marketing problems using ChatGPT.
You can collect web data with Listly AI.
Data preprocessing can be done with Excel Power Query.
Exploratory data analysis can be performed with ChatGPT.
Text data analysis can be performed with ChatGPT.
You can perform statistical hypothesis testing and A/B test analysis with ChatGPT.
You can create a 'one-page marketing analysis report' that is ready for immediate submission in a professional setting.
Who is this course right for?
Marketing/Sales practitioners with 3 to 7 years of experience who look at data but are unable to draw conclusions.
Office workers who know how to use Excel but feel overwhelmed by "analysis" (Beginner analysts/Data practitioners)
A team leader/leader who feels frustrated because reports lack a "basis for judgment"
A practitioner who uses ChatGPT but is new to data analysis
Need to know before starting?
It is good if you have experience using generative AI.
In the class, we primarily use the ChatGPT Plus version (paid) as a data analysis tool.
Excel Power Query is used for the data preprocessing part of the class.
We use Listly AI for web data collection in class. (Free sign-up)
He is the CEO of ValueVine, a specialized data-driven business consulting firm, and is active as a data analyst, marketing consultant, and columnist.
He holds a PhD in Business Administration with a major in Marketing and possesses certifications as a First-Class Information Processing Engineer and a First-Class Big Data Specialist.
Major publications include "AI Personal Branding" (2025), "Data Literacy Starting with ChatGPT" (2025), "AI Data Analysis" (2024), "Habits for Developing a Data Mindset" (2024), "Branding in the Age of No Jobs" (2022), "Study Marketing Right Now" (2019), "Marketing Research" (2017), and "Korean-style Positioning" (2003).
He has been lecturing on data literacy, data-driven problem solving, big data analysis, marketing, and branding at institutions such as the National Human Resources Development Institute, Korea Institute of Financial Telecommunications & Clearings, Korea Productivity Center, Samsung Electronics, NongHyup, BNK Financial Group, Koscom, and Korea Water Resources Corporation.
He is currently contributing columns on data literacy to ≪Statistics Window≫ and on local brands to ≪Brand News≫.
All
21 lectures ∙ (6hr 34min)
Course Materials:
All
2 reviews
5.0
2 reviews
Reviews 1
∙
Average Rating 5.0
Reviews 1
∙
Average Rating 5.0
5
I had lived my life distancing myself from data analysis, but in the AI era, I found myself in a situation where I had no choice but to study it. This course relieved a lot of my worries. It was easy to understand because it explained why we need to analyze data and how to perform data-driven problem-solving and decision-making alongside practical analysis exercises. I highly recommend this to anyone looking to try something new with data analysis from now on.
Explore other courses in the same field!