Databases and SQL for Data Science with Python

Data Science with Python Skills Gained

Course Perspective

Just wrapped up the course on Databases and SQL for Data Science with Python, and I’ve got to say, it was pretty enlightening. Now, I’m no stranger to diving deep before any course or certification. I mean, who needs a piece of paper to prove they’re capable? It’s your skills that really count.

This course was right up my alley, considering my background in digital marketing and programming. We got into the nitty-gritty of SQL and Python, dissecting databases like a pro. It was all about how to manipulate and analyze data, and if you’re in my line of work, that’s golden information.

I got to work on cloud-based relational databases, messing around with tables and queries. We covered basic SQL statements—your usual SELECT, INSERT, UPDATE, and DELETE—and even went into advanced SQL techniques like views, transactions, stored procedures, and joins. The power of these advanced queries? It’s like going from a pocket knife to a full-blown toolkit.

What excites me the most is the practical application. In digital marketing, understanding your data is key, and this course has armed me with new tools to do just that. I’m talking about constructing complex queries that give you exactly what you need, no fluff.

I’ve been living in Malaysia and Singapore for quite a while, and I believe in sharing knowledge. Whether it’s digital marketing, programming, or even my hobbies like badminton and red wine, I love helping people learn. Got a family to think about, and life’s too short to keep all this info to myself.

So, this course? A game-changer. It’s one more skill in my arsenal that I can’t wait to share with others. Because at the end of the day, it’s not just about making a living; it’s about making a difference.