Cara Menjadi Analis Data di Tahun 2026 (mulai dari 0)

Here's exactly how I would become a data analyst if I had to start all over again in 2026. Now, I'm low-key pretty lazy and I'm also very impatient. So, I'd want to choose the fastest road map with the least amount of work required to actually land a data job. That road map is called the SPN method, but it still has a lot of work. Step one, I'd want to figure out exactly what skills are required because there's literally thousands of different data tools and skills that you could possibly be learning. And if you're gonna master them all, it's going to take you so long. It's going to take you decades before you even feel close to ready. Once again, remember, I'm very lazy and I'm very impatient. So, I want to learn the bare minimum of skills required to land my first data job. So, which skills and what tools would I focus on? Ideally, I'd choose the skills that have the biggest bang for your buck, the lowest hanging fruit. So, basically, what that means are the ones that are used the most in industry, but also the ones that are the easiest to learn, so I can learn them quickly. That way I could have employable in demand skills really, really, really fast. Uh, so what are those skills? You're probably wondering. Well, you can do the research for yourself by going through like hundreds, thousands of different job descriptions and keeping tallies and track of what data tools are mentioned the most often. But obviously that's going to be a lot of work. The good news is I already did all that research and work for you. So here you go. The most in demand tools that are also pretty easy to learn are Excel, Tableau, SQL. Literally, that's it in that order. These are the top three data skills that you should be learning when you're just starting out in data analytics. And if you need any help remembering that, I came up with something called a pneumonic, I think is what it's called, to make it kind of easy. It's every turtle swims. E for Excel, T for Tableau, and S for SQL. And that's where I'd personally start if I had to start all over. I wouldn't really study anything else until after landing that first data job.