Want to Start Learning Data? Excel Can Be Your First Step!

With artificial intelligence (AI) developing fast and data being used more and more at work, understanding and working with data has become an increasingly relevant skill for students and professionals alike.

That said, learning data doesn’t have to start with coding or complicated tools. Excel is one of the most familiar, beginner-friendly tools for learning how to process and make sense of data.

Excel can do all sorts of things, from running calculations and tidying up a dataset to creating visualizations and putting together reports. These days, all of that can also be done with help from AI, whether that’s building a formula, analyzing data, or spotting patterns faster.

Even so, the convenience AI offers still needs to be balanced with the ability to understand your data and read the insights behind it. So how can Excel be a first step toward building your data skills? Here’s a closer look.

Start Building an Analytical Mindset with Excel

Excel can do far more than make tables and add up numbers. By working through a case study, you can start learning to process data, look for patterns, create visualizations, and draw insights from a dataset.

For students, this process can grow into a portfolio project. For professionals, Excel skills can help with all kinds of work, from handling data and using VLOOKUP or XLOOKUP to putting reports together.

So what you’re learning isn’t just “how to use Excel,” but how to use data to answer a question.

Sharpening Your Skills Through Case Studies

One way to build up your skills is to practice directly through case studies and projects. You have plenty of options, from self-study to joining a bootcamp and earning a certification that both sharpens and validates your skills.

One option is the DQLab Excel Bootcamp, which combines guided learning with case-based practice. That way, the Excel skills you pick up don’t stop at theory; you can apply them right away to all sorts of data work.

From Excel, Keep Exploring Data Skills

Excel can be your first step, but the data learning journey doesn’t end here. As your needs and goals develop, you can start building other skills such as SQL, Python, data visualization, statistics, and machine learning.

You don’t need to master it all at once. Start with a skill that feels familiar, practice it through cases, then build from there. If you want to build your Data Analytics skills from the ground up, DQLab also offers a Data Analytics Scholarship to help you get started.

Through structured learning, you can learn Data Analytics concepts, master relevant tools, and sharpen your skills through a range of exercises and projects.

Take this opportunity to upgrade your skills and start building experience in the world of data. Claim the DQLab Data Analytics Scholarship through this link: https://bit.ly/DQMEDIA

By DQLab

English translation by Levina Chrestella Theodora

Kuliah di Jakarta untuk jurusan program studi Informatika| Sistem Informasi | Teknik Komputer | Teknik Elektro | Teknik Fisika | Akuntansi | Manajemen| Komunikasi Strategis | Jurnalistik | Desain Komunikasi Visual | Film dan Animasi | Arsitektur | D3 Perhotelan , di Universitas Multimedia Nusantara. www.umn.ac.id