Data Science Methodology

Eric Chuar has successfully certified and completed Data Science Methodology Course Certificate from IBM.

SCHOOL:
IBM

GRADUATED:
2018

DURATION:
6 Months

Data Science Methodology Skills Gained

Describe what a data science methodology is and why data scientists need a methodology.

Evaluate which analytic model is appropriate among predictive, descriptive, and classification models used to analyze a case study.

Apply the six stages in the Cross-Industry Process for Data Mining (CRISP-DM) methodology to analyze a case study.

Determine appropriate data sources or your data science analysis methodology.

Course Perspective

Just wrapped up the Data Science Methodology course and I’ve got to say, it’s been a wild ride. I’ve always been the kind of guy to dive into the deep end before even stepping into the pool. Certifications? Sure, they look good on a resume, but the real learning is in the doing, you know?

First up, the course unpacked what data science methodology actually is. It’s basically a roadmap for how to tackle a data science problem. In my main gigs of digital marketing and programming, having a method to the madness is a lifesaver. It’s about having a plan so you’re not flying blind.

Speaking of plans, they went into different analytic models predictive, descriptive, and classification. It’s not just about gathering data; it’s about knowing what to do with it. In my marketing work, I can see how choosing the right model could mean the difference between a killer campaign and a dud.

Now, let’s talk CRISP-DM. That’s the Cross-Industry Process for Data Mining. It’s a six-stage methodology and it’s as crisp as the acronym suggests. This was cool because it gave a step-by-step approach to analyzing a case study, something I can see myself applying in my day job and other projects.

And don’t get me started on data sources. The course stressed how crucial it is to choose the right sources for analysis. Makes sense. Bad data in, bad analysis out. Especially when it comes to digital marketing, picking the right data sources can make or break your strategy.

But hey, it’s not just about me. I’ve been living in Malaysia and Singapore for years, and I’ve got a lot of love for these places. I want to share what I know, whether it’s digital marketing, programming, or even stuff like badminton coaching. Life’s too short to keep all this knowledge to myself, especially when I could be helping others. Got a family to think about, you know?

So, all in all, this course has been a fantastic addition to my toolkit. Whether I’m working on a digital campaign or just trying to make sense of a mountain of data, I’ve got some new skills to help me navigate. Can’t wait to put it all into practice!