We often think that learning is simply a matter of time spent in front of a computer screen or with a book in hand. As someone who has traveled a long professional path – from studying Polish literature, through working in a hostel and a customer service department, to becoming a data analyst, a data architect, and finally running my own educational company – I can tell you one thing: most of us have no idea how to learn effectively.
We fail at this process in two ways: either we do it inefficiently, getting distracted at every step, or we learn things that don’t bring us any closer to our goals. Today, I want to walk you through five key points that tackle both of these problems. These are the rules that will allow you to learn faster, better, and – most importantly – provide you with the skill that will determine your professional development, and perhaps even your entire life.
Multitasking is the biggest lie we tell ourselves
Let’s start with the foundation. I hear it almost every day: “Kajo, I’m great at multitasking.” This is the biggest lie we feed our brains. The problem isn’t that we can’t switch between tasks quickly. The problem is that we drastically underestimate the scale of the effect this switching has on our productivity.
In the context of learning, this problem has many faces, and I call them the “50 shades of distraction.” Every notification on your phone, every new tab in your browser, every “peek” at Slack or Instagram costs you energy. Worse, it costs you time that you are taking from your future. Every context switch is a huge expense for your “daily battery.” Before you know it, the energy for real, deep learning simply vanishes.
The solution is painful but necessary: we must replace multitasking with ruthless focus. It’s like lifting a really heavy barbell off the ground. Our entire environment – algorithms, phones, social norms – trains us to look for what is new, pleasant, and short. Focus is none of those things (although it can lead to a state of flow, which I’ll mention in a moment). Real learning means being able to sit with one topic, one page, or one problem for 30 to 40 minutes without any switching. No checking your phone, no getting up for tea, no talking. If you master this superpower, you will be light years ahead of the competition in the job market.
Micro-learning or “brain rot”? The trap of short content
In today’s world, the idea of micro-learning is very eagerly sold to us. It sounds great: “learn in 5 minutes a day by scrolling short videos.” But let’s be honest with ourselves – often what we call micro-learning is just “brain rot” wrapped in pretty silver foil.
Are we able to learn anything this way? Yes, we can be reminded of something or learn a fun fact. But will you become a data analyst this way? Will you master complex SQL architecture this way? Absolutely not. Your mind needs a longer exposure time to difficult material to start connecting concepts. Micro-learning gives the illusion of progress, while real growth requires “chair-time” spent in full focus on a specific task.
In KajoDataSpace, I design paths to give you organized material, but I always repeat: you are the one who has to sit down and work through it. You cannot “scroll” your way to a promotion. You have to feel that specific tension in your head that only appears when your brain is actually working on a new, difficult issue.
Direction is more important than current needs
This is the point where many ambitious people get stuck for years. They learn for their current job. You think to yourself: “I need to be better at what I’m doing now.” But the brutal truth is: if you only learn for today’s tasks, you make sure you stay in them forever.
The goal of learning should be a new behavior and a new environment. True professional progress requires jumping to next levels, often before you’ve even “cleared the board” at your current level. My career is a series of such jumps. When I worked in customer service, I wasn’t learning how to answer phones faster. I was learning how to become a data analyst. When I was an analyst, I didn’t focus exclusively on Excel, but I studied data architecture.
In business, they sometimes say: You have to let some fires burn. You will never master everything in your current field to perfection. Your task is to master it well enough not to drown, while simultaneously aggressively breaking into the next level. Focus on what catapults you higher, not on what only allows you to stay afloat. This requires accepting some chaos in current tasks for the sake of a long-term goal.
If your system requires motivation, you don’t have a system
Motivation is one of the most overrated elements of our culture. We put it on a pedestal, believing that successful people are the most motivated ones. That’s a mistake. Motivation is inextricably linked to excitement, and as we’ve already established – learning (especially deep learning) is rarely exciting. It’s more often tedious and difficult.
Therefore, your task is not to look for motivation, but to create a system that will facilitate learning by eliminating resistance. The biggest problem in the learning process is you and your brain, which naturally generates resistance to effort. The system is your environment. It’s the order on your desk that doesn’t scream at you: “you could be doing a thousand other things.” These are clear rules regarding your time.
You must start defending your study time as if your life depended on it – because in a sense, it does. Other people will always try to pull you into their own plans. Friends, family, colleagues – everyone can have “important reasons” to take those 40 minutes of focus away from you. We often use helping others as an excuse to avoid difficult learning. We say: “I couldn’t study because I had to help with someone else’s project.” This is a safe defense mechanism. We are then “sacrificed” rather than “involved.” As the saying goes: in ham and eggs, the chicken was involved, but the pig was sacrificed. Don’t be the pig in this arrangement. Be involved in your own development and protect your learning system from clutter and other people’s initiatives.
Inspiration is not learning – don’t be fooled
This is another trap we fall into, wanting to look as good as possible in our own eyes. We count listening to a podcast on a train or browsing posts on LinkedIn as “study time.” This is very pleasant because we feel like we are interacting with smart things. But this is not learning. This is inspiration.
Inspiration is great. It helps maintain direction, reminds us who we can be in the future, and what our work might look like. It is essential for maintaining the fighting spirit, but it will never replace focus on a specific problem. No podcast will give you a career pivot. No post will teach you how to write clean Python code.
You must distinguish between deep learning and shallow learning. Deep learning is those moments when you feel tension, when you have to analyze what the instructor on the video is actually doing, rather than just looking at the screen like another episode of a Netflix series. If you are lying comfortably in bed while watching a course and you feel “cool” – meaning there is no intellectual effort – then you are probably just consuming content, not learning it.
Learning is an active activity, not a passive one
The modern digital world gives us amazing opportunities – access to a huge amount of knowledge, ready-made development paths (like those in KajoDataSpace), but it also has one drawback: it makes it easy for us to be passive. Learning, meanwhile, must be active.
What does this mean in practice? It means involving the physical world and active information processing in the learning process. Don’t rely only on your memory and – importantly in this day and age – don’t delegate summarizing material to AI. Artificial intelligence is a brilliant tool, but in the learning process, it often harms us because it takes away the hardest work: the process of synthesizing knowledge in our heads.
How to learn actively?
- After watching a lesson, write one sentence of summary in your own words.
- Write down on a piece of paper what you have learned in the last 15-20 minutes.
- Use physical aids. For example, I highly value solutions like flashcards for SQL. Why does it work? Because when you look at a question on a card, your brain must do the work. You must generate the answer in your head before you flip the card. This is not passive scrolling where the answer presents itself before your eyes.
Active learning gives you an edge over 99% of people who just consume content and wonder why their professional lives are standing still. The world is not simple, and professional life is often a competition. If you want to move to a new level, you must learn to learn in a way that generates results.
Summary: Your superpower for 2026 and beyond
Finally, I want to remind you of the five rules that should become your decalogue of development:
- Focus instead of multitasking: This is your most important currency.
- Direction over current needs: Learn for the job you want, not the one you have.
- System and regularity over motivation: Don’t wait for inspiration; create an environment that forces action.
- Inspiration is not learning: Distinguish hearing about success from the hard work on skills.
- Learning is not consumption: If you don’t feel tension in your head, you’re probably wasting time.
Real learning is hard work. I’m not going to lie to you and say otherwise. But it is the work that gives the highest possible return on investment. Every hour of concrete, deep learning adds up to the previous one. In two months, in a year, or in three years, you will look back at your life and see that you are in a place that previously seemed unattainable. It all starts with those 30-40 minutes of focus a day.
If you think these rules can help someone in your circle stop “treading water” and start moving forward, share this article on your social media. Let’s build a community of people who learn smarter, not just more.
The article was written by Kajo Rudziński – analytical data architect, recognized expert in data analysis, creator of KajoData and polish community for analysts KajoDataSpace.
That’s all on this topic. Analyze in peace!
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