I am planning to learn data analytics and i got overwhelmed by all the information at the internet so I am asking here how much statistics do you need and what are those you actually have to master to become a data analyst? Also need some advice or mentorship if any want to help.

It’s a question many of us have been quietly (or not so quietly) asking. With AI moving faster than ever, it’s hard not to wonder: Where do we, as data analysts, fit into this future?

Some days it feels exciting automating the repetitive stuff, getting to deeper insights quicker. Other days, it feels a little uncertain  like the ground beneath us is shifting and we’re expected to keep up.

But here’s the truth: this isn’t just about tools or trends. It’s about how we grow with them. AI might change how we work, but it doesn’t replace the curiosity, the critical thinking, the domain knowledge or the human judgment  that we bring to the table.

If you’ve been learning to adapt, finding new ways to stay relevant, or even just thinking about what your future as a data analyst looks like this space is for you.

Let’s talk honestly. Let’s learn from each other.

Breaking into data analytics can feel like a long journey, full of learning, interviews, and sometimes a bit of waiting.

Everyone’s path is different some find roles quickly, while others take months or even years.

This question is for everyone who’s been through the process or is currently navigating it.

Sharing your story how long it took, what helped you get there, and what kept you motivated – can make a huge difference for those still on the path.

The role of a data analyst is no longer what it used to be. With the rise of AI, automation, and advanced analytics tools, the expectations have grown beyond creating dashboards and reports. Analysts today are becoming problem-solvers, storytellers, and enablers of strategic decisions.

AI is helping streamline repetitive tasks, improve data accuracy, and generate faster insights. Those embracing it are moving toward more value-driven roles  focusing on interpreting patterns, advising teams, and working alongside machine intelligence instead of being replaced by it.

This is a space for those living that evolution. Share your journey, how AI is becoming part of your toolkit, and where you see this profession heading.

Let’s grow through shared experience and shape the future, together.