Data Analyst Application Rejected? I'll Tell You About Portfolios That Work

Is the job of "data analyst" just a fantasy for non-majors with liberal arts degrees and academy degrees? 🤔

I entered the data analyst job market at the age of 31 and got a job , so it's not an illusion!

When I said I was going to suddenly change my job from an office job to a data analyst, everyone around me said the same thing.

💭 "Changing careers after 30? It's tough, you're old."

💭 "They say you can't get a job without a master's degree. It'll be hard just to get through the application process."

But I just did it because,

"Oh, because I want to be a data analyst!"

<But after failing to get a job>

I eagerly declared my intentions and submitted my documents to nearly 40 places, but only got a word of acceptance from two. (And even those were a bit odd...)

(I only brought the Wanted details.. Support for other platforms before May was also a slog.. ^^ Really..)

I want to be a data analyst

I told my parents and all my acquaintances and friends, but including the period of attending the academy (6 months) and the period of document theft (3 months), I spent a long time as a depressed unemployed person. 😥

At this time , I was walking around the neighborhood to relieve my depression, but around the time I got off work, my friends' group chat kept talking about work and the company.

And then when I came into the room, I'd think, 'What am I doing...?' and get depressed again. This pattern repeated itself. (I also got nervous gastritis around this time... haha 😂 )

After graduating from the academy, I was depressed every single day during the period when I couldn't even pass the document screening.

"What the hell is the problem.."

Because I spent 2-3 months in this state,

I had a strong feeling that it wasn't just the specs that were causing this problem.

I wonder if the portfolio doesn't show the message , "I'm a non-major and a graduate of an academy, but if you hire me, I can do 'this much'." All I have to show is my portfolio... 😯

Because I kept thinking like this.

Anyway, I need to revise my portfolio, but I can't seem to get the hang of it.

But I can't stop,

I keep looking at well-made data analysis materials from overseas sites.

I got some hints by looking at the pattern of their analysis articles.

As soon as I realized it, I immediately applied it to my portfolio.

Once I felt confident in my portfolio, I selected about 10 places I wanted to go and added them to it, and over 90% of them passed the document screening.

<After portfolio change>

✅ <So, a successful job search story>

The reason I, who had nothing to show for my qualifications, was able to successfully transition to a data analyst position in the science and IT field was because I deeply realized the importance of a "portfolio."

At first, I was bewildered by the news of document screening that kept coming in,

Later, as I looked at the portfolios of new applicants to our company and when I was advising non-major data analysts on their portfolios, I gradually became more convinced that the method I had discovered was correct.

The reason why I was practically without a job for 2-3 months

We concluded on our own that it was because we were presented with a portfolio that could not be evaluated .

Me too, just like everyone else

Even though I submitted a portfolio with the following structure: data analysis goal -> preprocessing -> visualization -> machine learning modeling -> conclusion, I was robbed.

The composition of the portfolios that passed and the portfolios that failed were similar, but the problems were in completely different places.

There is a clear distinction between portfolios that can be evaluated and portfolios that cannot be evaluated .

So I'm sharing this tip with you.

First, a portfolio that can be evaluated

Second, a portfolio that can be well- evaluated

This course is more geared towards non-major job seekers.

This lecture is not difficult at all. 😎

This isn't a lecture about how to make machine learning more efficient or how to improve accuracy.

So, anyone preparing for a job as a data analyst can listen to this.

Additionally, we will provide interview tips after you pass the document screening!

The reason I am offering this course at this price is,

I previously ran a free portfolio consulting blog for data analyst job seekers for three or four years. After they landed jobs, they often gave me coffee gift cards as a token of their appreciation. So, that's roughly the price. 😊... (Taking into account the commission fee paid to Inflearn...() )

I recommend this to these people

After class

• You can see what kind of portfolio the recruiter is looking for.

• Even if you don't make it, you can at least know what a "valuable" portfolio is.

• As a non-major, I can learn how to respond to questions I might be asked in an interview.