Getting Started as a Data Analyst - How Non-Majors Can Begin Without Wasting Time

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A practical roadmap to becoming a data analyst,

We will show you how non-majors can get started without wasting any time.

Have you ever had these thoughts?😟

"I want to become a data analyst... but where do I even start?"
"Do I need to do both SQL and Python? Which one should I do first?"
"Is there a difference between a data analyst and a data scientist?"
"I'm at a certain age and my major is different... can I do it too?"
"I'm studying, but I don't know if this is the right direction."

If even one of these questions has crossed your mind, let me clear them all up for you at once!

I felt just as lost as you do.

I am a non-major.

After I first decided to become a data analyst, I couldn't understand the lectures I took, and I felt lost. Even when I looked up YouTube videos or took classes on Inflearn, it didn't really click.
Only after watching them two or three times and gaining some experience over time
did I very... slowly start to get a feel for it.

After spending two years like that, this thought occurred to me.

"If someone had organized this for me from the beginning, I wouldn't have struggled this much."

Since I didn't get to meet such a person,
I wanted to do something that could help people in the same situation as me.
This lecture is the very first step of that movement. 🙌

I created this lecture by pouring in all the things I felt were missing and regrettable.

There are many data analysis job categories, but which one is more suitable for me??

Data Scientist? Data Analyst? What exactly do these roles do?

How should I read job postings to change jobs quickly?

Is there a summary of what and how much I need to prepare to change careers to a data analysis role?

Is self-study better? Or is a bootcamp better?

I wanted to answer these questions based on data all "at once".

What this course covers

• 🗂️ 14 Data-Related Roles — The differences between Analysts, Scientists, and Engineers

• 📄 How to read job postings — where, what, and how to read to quickly find your direction

• 📊 DA Job Posting Analysis Report — A summary of required competencies verified with actual data

  • Full of ✨insights✨ you won't find anywhere else!

• 💼 Practical Work of a Data Analyst — What they actually do

• 📚 Study Roadmap — Self-study vs. Bootcamp, what to do and how much

• ❓ FAQ — A comprehensive summary of frequently asked questions, including age, master's degrees, coding tests, and job preparation.

🛠️However, this course does not include explanations about tools.🛠️

However, we have included only the essential information for setting your direction, which is a must-have to start these studies!

From job analysis, job posting analysis, and study roadmaps to career change strategies

I have selected and included only what is necessary to get started as a data analyst.

I recommend it to these types of people

• Those who are interested in data analysis but don't know where to start

• Those who don't know which one is right for them among various job roles

• Those who are hesitating because of their age or major

• Those who don't understand what the job postings are saying even after looking at them

• Those who are anxious about whether their study direction is correct

=> We have included all the explanations for people like you. So, we will resolve all your fears with this lecture!

I also recommend this to those who are starting out as data scientists, not just data analysts!

It includes basic job concepts and learning roadmap information!

You won't be afraid if you know. The more you know, the clearer it becomes.

I will show you the roadmap so that you can see the forest before the trees.