#GenerasiGIGIH Week 2 Reflection

Hi everyone! How have you been? Hope we are all doing well in this current pandemic situation :)

So, I started to enroll my learning journey at #GenerasiGIGIH intermediate level since 5th July and… last week was the second week of my data class journey which has been amazing!

Let me share with you, what I’ve learned:

Analysis 101 —

We learned 5 important steps on data analytics:

Plus, on types of data and doing data preparation (collection and cleansing).

New things that I learned during this session?

I used to think that data analyst was all about running the right SQL queries on databases… but that wasn’t the only case. Instead, every data analysis should start with the right question to help us state and understand the right problem statement.

Statistics —

For the 2nd session of Module 2, we learned about analytics vs statistics, measures of frequency to show the occurrence of something, measures of central tendency to show most common response, measures of dispersion to show how “spread out” the data are, data relationship, statistical inference, p value and about experiment. To be honest, all the materials were new for me, even though I have completed Probability and Statistics course on my 3rd semester (either mostly been forgotten or indeed never been taught)… so I needed extra time to understand about it…

New things that I learned during this session?

I used to think that if we can find correlation between two variables, then one variable would cause a change in the other. But the truth is, correlation does not equal causation. Just because two pieces of data are both trending in the same direction, that doesn’t necessarily mean they are all related.

Create Analysis Doc —

Here, we learned about the importance of analysis document, 5 steps in creating analysis doc, how to define problem with the Ws (Who/What/Where/Why) and the 3 Whys, define scope & limitation, define objectives, analysis methodology and on result & evaluation.

New things that I learned during this session?

For me, structured thinking on analysis is so hard.. But thankfully, Kak Calvin gave us tips on how to improve our analytical thinking skills: by watching consulting interview videos and try to answer the question by ourselves first. This way, I became more aware that indeed no one was born with the skill, we are all responsible for what we can be.

To wrap up, I do love the learning environment because it ignites my spirit to learn more and more. The breakout room discussions on data class were fun as I was able to discuss with other participants and see things from other perspectives. Not forget to mention, the materials were truly insightful and explained in a simple way for us to be understood clearly, and for this… the credit should go to Kak Arnold and Kak Calvin!

Lastly, I hope all the thinking process that I learned during the class would be useful for my future career! I hope that when faced with real world situation, I would be able to identify and define a problem, then solve it by using data in an organized, step-by-step manner.

Thank you for reading, and see you on another blog! 😄

Information System and Technology Student at Institut Teknologi Bandung.