The first thing I had to accept was that I didn’t need to know everything at once. In the beginning, I focused on understanding what data actually is. I learned that data is simply information  numbers, text, dates  collected for a purpose. Businesses use it to make decisions. That mindset shift helped me see data analysis not as “math” but as problem-solving.

My journey truly started with Excel. I didn’t jump into complex tools immediately. I learned how to sort data, filter it, use basic formulas like SUM and AVERAGE, and create pivot tables. At that stage, my goal wasn’t to impress anyone. It was to become comfortable working with rows and columns. I practiced by downloading small datasets and asking myself simple questions like, “What is the highest value here?” or “Which month performed best?”

After Excel, I moved to SQL. This was the moment I felt like I was entering the real world of data. SQL taught me how to talk to databases. I learned how to select data, filter it using WHERE, group it, and join tables together. At first, it was confusing. But once I understood that SQL is just a way of asking structured questions, it became easier. I practiced daily  even small queries helped build my confidence.