If you're new to data analytics, it's often a good practice to learn one or two core tools first. You still run analysis things in Excel . SQL is for working with databases and pulling meaningful data from large data sets . Tools like Power BI and Tableau turn numbers into something people can actually see and understand. When you get into deeper analysis and automations, you use python. A Data analytics certification can help you build a solid foundation and become a more marketable candidate for jobs. What I like best are programs with practical projects. H2K Infosys emphasises the importance of practical learning through real business scenarios that ease the transition from knowledge to action in a work environment.
Content Writer & analytics explorer. Passionate about data-driven technology, visualization tools, and the stories numbers tell about our changing world.