Eric Chuar has completed the Tools for Data Science for Personal & Professional Productivity and received a certificate from IBM.
SCHOOL:
IBM
GRADUATED:
2015
DURATION:
6 Months
Data Science Infrastructure Skills Gained
Describe the Data Scientist’s tool kit which includes: Libraries & Packages, Data sets, Machine learning models, and Big Data tools
Demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features
Utilize languages commonly used by data scientists like Python, R, and SQL
Create and manage source code for data science using Git repositories and GitHub.
Course Perspective
Just wrapped up the Tools for Data Science course, and man, it’s like finding the perfect toolbox for a lifetime project. I’ve always been the kind of person who needs to get their hands dirty before diving into any formal training. Certificates are cool and all, but it’s the skills that count, right?
Data Scientist’s Tool Kit: This course broke down the essentials—Libraries & Packages, Data Sets, Machine Learning Models, and Big Data tools. It’s like giving a chef not just the ingredients but also the best kitchen gadgets. For someone in digital marketing and programming like me, this is gold. Imagine being able to sift through big data to pinpoint customer trends or using machine learning to personalize marketing strategies. Mind-blowing, isn’t it?
Languages: Python, R, and SQL are the main stars of this course. Having a background in programming made this part a walk in the park, but the real fun is in applying these languages specifically for data science tasks. It’s like learning to paint but now having a whole new palette of colors.
Working Tools: Jupyter notebooks and RStudio were the playgrounds for the course, and they’ve got some neat features. I can already see myself integrating these tools into my current workflow. These aren’t just for the course; these are tools I’ll use in my day-to-day work, especially in digital marketing where data is king.
Source Code Management: Git and GitHub were the cherries on top. I’ve used these before, but the course taught me to organize and manage data science projects specifically. It’s like learning the best way to store your tools so you can grab them quickly when you need them.
Look, I’ve been around Malaysia and Singapore for a good chunk of my life. I know it’s not all about the money; it’s about enriching lives. And now that I have this new set of skills, I can’t wait to share what I know, be it in digital marketing, programming, or even just life hacks. Time’s ticking, and there’s no room for selfishness. I’ve got a family to think about and a community that could benefit from this knowledge. So, let’s get this sharing spree started, shall we?
阅读中文