📄 ABOUT ME: My mission is to help you grow your career, especially in the world of data analysis. Switching careers to become a data analyst from a non-tech background was overwhelming. I made a lot of mistakes and wasted time trying to figure it out. But having been a manager of data analytics and now a senior business intelligence engineer in tech (FAANG), I've learned a lot and I'm excited to use my experiences to help you navigate your career path. I hope this channel gives you the clarity and motivation to get started!
Thank you for creating this video. It was informative and engaging, and I appreciate the effort you put into making it. Keep up the great work! And i don't have any work experience either i am a total fresher.. is there anything can i add to the resume instead of work experience??
Amazing!! What I find most helpful is when you provide advice to those who are a complete beginner and when you provide resources like DATACAMP and direct LINKS. I don't see many youtubers do this where they provide direct resources so it feels like I'm thrown into the Ocean after learning how to swim on RU-vid. Please keep it up Agatha!!!
Hi Agatha, I am actually currently self-learning SQL, PowerBI and Python thru Datacamp yay! Anyway, now I wish to start my own project, so I found some datasets I can use, but I have no SQL or PowerBI installed in my laptop (my current work company laptop).. Is there a way I can do up a project without installing the programs? 🥲
I have a company it's based on data analytics. The company is called biblical analytics inc. we contract work through our patreon site. It's not who you know it's how you work what you know 😊
Amazing! This was a good video I like the tips. I’ll keep these in mind. So far learning has been good. Sometimes frustrating 😂 but I’m trying to keep my eyes on the end of the road after obtaining these skills to apply them to real world job.
I truly appreciated your video. The way you teach the audience is incredibly clear. You explain complex topics in a way that's easy to understand, and the language you use is straightforward and engaging.
I just found your RU-vid channel today and watched a few videos. I really like how you present the realistic side of data analysis. I’m 22, coming from an IT role, and I’m currently learning SQL from beginner to advanced level (I already know some basics). I’m also learning advanced Excel, Tableau, and Power BI, plus SQLite and Postgres, with the goal of starting to apply for data analyst jobs within the next few months, maybe sooner. I love what you do so thank you haha :)) you really inspire people whether you realize it or not
Hey that's exciting! You're already taking the right steps to transition your career to a data analyst. And it means a lot that my content helps!! Thank you for the thoughtful comment and I'm excited for your data journey. Keep going! :)
Learning the basic SQL syntax will take you 1-2 weeks but you'll want to practice and apply it to reinforce your learning. My tip would be to use sql hands-on like projects to really learn it.
Hi Agatha, thank you for your video post. Very insightful to see what a professional does in their day. You mentioned that you use SQL mostly in your current role at Amazon. Did you also use a lot of SQL as a healthcare data analyst, or did you use another tool more?
The dashboard you showed didn't look that complicated. Being a green newbie without a data job yet, I feel stuck on the analysis part. How did you figure out and then explain what that dashboard was actually showing, and how do you know what to suggest for whatever problem you feel that you found? I'm still trying to get more comfortable with CTE and subquery. I'd probably fail hard in a coding interview. I still use AI a lot to figure some coding out. I don't fully know yet in my self education every query type like data functions, ranks, which are hard when you're using practice data from kaggle. I know on the job I'd learn quickly by doing, but I haven't even gotten an interview yet. Great job on this video!
Thank you for watching! To answer your first question - what you are showing and what to suggest is based on the problem you are solving. In the real world, you'll have a customer and a clear problem defined and that'll be your guide to everything you do in your analysis. Independently, it's hard to figure out whether your analysis is "right" which is why it's so important to define a problem statement first and that'll guide you. The coding interviews will just require practice and yes definitely on the job, you'd pick up the skills quickly. If there's any opportunity to use data on the job, that is a great way to break into a data analyst role as well.
