inflearn logo

[Practical AI Analysis in the Field] For those who need analysis right now <Not an analysis study lecture!>

You no longer need to study SQL or Python for data analysis. While everyone else is using Claude Code, are you still stuck with old-fashioned methods? Many companies are already building AI Data Analyst assistants using Claude Code to ask the questions necessary for immediate service and business growth, instantly generating everything from analysis to insights and execution strategies. As a current Tech Lead who also took on a PO role, I needed growth data analysis, and I significantly improved the speed of decision-making and execution by applying this method to actual work. This course provides question templates for using Claude Code in the field and guides you through funnel, conversion, and churn analysis to derive actions, so you can apply it to your work immediately just by following along.

11 learners are taking this course

Level Beginner

Course period Unlimited

Growth Hacking
Growth Hacking
Performance Marketing
Performance Marketing
Service Planning
Service Planning
Data literacy
Data literacy
claude
claude
Growth Hacking
Growth Hacking
Performance Marketing
Performance Marketing
Service Planning
Service Planning
Data literacy
Data literacy
claude
claude

What you will gain after the course

  • You can identify conversion/churn issues based on your own service data and derive actionable strategies.

  • You can create a professional routine that extracts analysis, insights, and actions within one minute using just a single-line question.

  • You can extract the necessary data yourself without depending on the development team, allowing for rapid experiment and improvement cycles.

This course is a practical lecture that should be watched by POs (Product Owners), PMs, CEOs, or operators who want to perform data analysis right now! and rapidly grow their own service or business.


This is not a lecture for studying data analysis just for the sake of personal skill enhancement.


Instead of waiting forever for data analysis to be completed,
this is for those who need to quickly analyze urgent issues right now and respond to the market immediately.

Even in the middle of the night! If you have something you're curious about, this is how to utilize an AI analyst that provides analysis results immediately. This is the actual method I used as a PO to grow the service.

AI Data Analysis: This is how it's already being done in the field.

The way data is analyzed in the field has changed significantly these days.

The time spent directly handling SQL or Python as in the past is decreasing,
and a trend is emerging where AI is used to increase analysis speed
while focusing more on interpreting results and execution strategies.

Many teams are already:

  • Creating analysis drafts with AI and

  • Automating the necessary data organization and

  • They are even receiving help with organizing insights.

So to be honest,
if you continue to do all the analysis manually by yourself,
there is a high possibility that you will fall behind in the speed competition.


What companies truly want from data analysis

Ultimately, there is only one thing the company wants.

👉 Rapid growth of services and business

That's why these questions keep coming up:

  • Why do they sign up but not proceed to payment?

  • Where do users drop off the most?

  • Based on the ROAS for the last 7 days, what action should we take right now?

The process of answering these questions is data analysis.

And the important thing is:

👉 Reporting faster
👉 Creating more persuasive insights
👉 And connecting them to immediately actionable strategies

This ultimately leads to growth.


The core of this lecture: Creating an AI analysis assistant

In this course, we focus not only on analysis methods but also on creating an AI analysis assistant to help you.
We provide data from actual products and retrieve data directly from the DB to save as CSV files.

So you can:

👉 Business Judgment
👉 Execution Strategy Design
👉 Growth Direction Setting

You can focus on these high-level tasks.


This is how the actual workflow will change.

Not only service data, but also data generated by business operations such as HR, logistics, and inventory:

Organizing data → AI assistance
Thinking about analysis direction → Organizing together with AI
Organizing insights → Automatic support up to report format

As a result:

  • Reporting speed increases and

  • Analysis quality improves and

  • Feedback from superiors improves,

  • A structure that leads all the way to execution is created.

After the Course

“We are now able to apply things to the market quickly.”
“Analysis speed has definitely become faster.”
“Let’s execute the strategy right away.”


What you will actually gain from the lecture

You will learn how to work with AI.

For example:

👉 Which data to collect to help with growth
👉 What questions to ask in the current situation
👉 How to create immediately actionable insights
👉 A workflow that naturally leads to a finalized report

In other words, it is a part closer to
decision-making capability that allows for the immediate application of analysis.


We provide practice data and an analysis environment identical to real-world business scenarios.

The lecture focuses more on practice than theory.

  • Provides actual commerce data and DB-based practice (No SQL knowledge required)

  • 30 practical business question templates provided

  • Build your own AI analysis assistant

  • Guide on how to apply it to real work while considering security

After following along with a practice session once, people usually say things like this:

👉 “I heard that I'm doing a great job.”
👉 “Since AI handles the analysis, I now have time to make actual decisions.”
👉 “It’s become clear what kind of data I need to collect.”
👉 “I can now see the specific questions our company needs to ask.”


This is especially well-suited for these types of people:

  • PM / Service Planner

  • Performance Marketer

  • Startup Operators

  • Members of organizations without a data team

  • Jobs with a high volume of reporting and analysis tasks

  • Job seekers who need a data analysis portfolio

They have one thing in common:

👉 Those who want to leave repetitive tasks to AI
👉 and focus on judgment and execution.


The experience of changing your work speed

For example, consider a situation like this.

You suddenly had a question late at night and asked it:

  • Data analysis starts immediately,

  • Insights are organized and

  • Even with execution strategies organized

  • Ready for execution the very next day.

This is how data is being utilized these days.


What you complete by following the lecture => Can be applied to your service immediately

Build your own AI data analysis assistant
based on Claude Code.

  • Available on both Windows / Mac

  • Possible even if you don't know programming

  • It is enough if you know how to sign up for a membership and install a program.

After taking this course, you will say:

“Wow~ I should apply this to our service right away.”


Data Analysis Study vs. AI Utilization Skills

Is what you need right now necessarily the analysis technique itself?

Or:

👉 Is it about analyzing faster with AI assistance,
👉 creating execution strategies,
👉 and improving the quality of your reports?

This course focuses on the latter.

AI is not a tool meant to replace your work,
but a tool to help you do your work better.


About the Creator (Current Tech Lead / PO)

As a working data analyst,

The data was there, but the execution speed was slow,
and the analysis results did not lead to actual decision-making.

So the method I created is:

  • Question-oriented analysis structure

  • Data flow that leads to execution

  • Analysis system based on practical business templates

While applying this to our service:

  • Improved decision-making speed

  • Increased experiment execution speed

  • Building a Data-Driven Growth Framework

I have personally experienced the effects.

This course is a summary of that process.



Recommended for
these people

Who is this course right for?

  • Startup CEOs or solo operators who aren't seeing sales growth but don't know where the problem lies.

  • Marketers and growth managers who feel self-conscious about having to make requests to the developer or data team every time.

  • Service operators who have low sign-up and conversion rates but have never used data to identify the cause.

  • Analysts or beginners who want to extract metrics from a database and make decisions immediately, without needing SQL or Python.

  • PMs/POs who need to conduct funnel (AARRR) analysis but don't know where to start

  • A manager who is running ads but doesn't know what the problem is because sales aren't increasing.

  • Those who wish to get a job or change careers in product marketing or growth marketing

Need to know before starting?

  • Someone who knows how to sign up and install programs.

Hello
This is macro

We share technical know-how used in the field.

  • Former SK Group open recruitment hire, experienced in various service development and corporate technical consulting projects

  • AI/Cloud-based service development Team Leader

  • An actual hiring manager who has conducted document reviews for over 2,000 candidates and interviews for over 350 people.

  • Korea Coast Guard IT/Computer Systems Interviewer / Judge for numerous competitions

  • Numerous National R&D and AI Service Projects Link to Career Verification

     

  • Teaching KDT instructors how to conduct projects! The person who teaches instructors (Link to review video proof)

  • Patent holder (7 applications, 3 registrations) Link to career verification

  • Holds certifications such as Big Data Analysis Engineer, AWS, SQLD, and Information Processing Engineer.

Lecture inquiries email: macro@parg-ai.com

 

More

Curriculum

All

16 lectures ∙ (34min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

Not enough reviews.
Please write a valuable review that helps everyone!

macro's other courses

Check out other courses by the instructor!

Similar courses

Explore other courses in the same field!

$84.70