Generasi GIGIH Weekly Reflection | Part 2

Generasi GIGIH by Yayasan Anak Bangsa Bisa (Gojek)

Hi! How have you been doing for the past week? Did you learn anything new? I personally, got new experiences and learnings last week or the 2nd week of Generasi GIGIH by Yayasan Anak Bangsa Bisa. In the second week, we learned about analysis, introduction to statistics, document analysis, and how to make a competitive CV.

Check also: Generasi GIGIH Weekly Reflecion | Part 1

Before taking this class I only knew a little bit specifically in applied analysis, introduction to statistics, analysis documents, and how to make an attractive CV, my previous knowledge was only by reading articles/getting tips from friends. But after attending this week’s sessions, I understand more and am still trying to learn more about the modules.

BISA Group (Data Analyst Path)

I want to divide the learning notes this time into two parts, data analysis and CV 101. So, let’s get started! 😃

1 | Data Analysis

Two things that I think are important to learn in the 2nd week: analysis 101 and statistical thinking.

Analysis 101 — Five Important Steps on Data Analytics

5 Steps of the Data Analysis Process by G2

To ensure the analysis can give maximum results, it is important to follow the following steps.

  • Define the Why (Purpose): Determine what problem you want to solve — what problem statement describes the situation from the problem — breakdown to the root and core of the problem
  • Collect the Data: Determine what kind of data you want to find, focus on metrics that can be measured and have a significant impact on business processes
  • Clean the Data: Always provide the best data quality (handling missing data) with basic statistical methods to ensure clean analytical materials
  • Analyze the Data (Interrogate): Look for the correlation of the interconnected dots, remember to always focus on the problem statement — wrong analysis will give wrong recommendations
  • Interpret and Visualize: Collect insights and create a visualization “that fits the needs of the audience”

Statistical Thinking

Actually, there are very many things to be learned here, but I want to share an analogy given by Kak Kevin Susanto, namely the “Ice Cream” analogy.

In conducting the analysis, it is important to know the close relationship between variables and their impact. Here I want to emphasize “why correlation does not imply causation?”. Let us first see the meaning, correlation is a statistical technique that tells us how strongly the pair of variables are linearly related and change together. Causation takes a step further than correlation. It says any change in the value of one variable will cause a change in the value of another variable, which means one variable makes another happen. It is also referred as cause and effect.

But many people mistakenly associate this relationship, let’s look at the following “Ice Cream” analogy.

Illustration From Correlation to Causation in Machine Learning: Why and How by Chris Lovejoy

What can we get from the picture? Hot temperature increases ice cream sales and the number of sunburn users, BUT there is no direct relationship between increased sunburn usage and ice cream sales. So what can be concluded from this?

Don’t conclude too fast! Find the hidden factors, verify if they are correct and then conclude.

2 | CV 101

Photo by Scott Graham on Unsplash

Creating a competitive CV can sometimes be confusing, especially for those of us who are still in college or have just graduated. There is no exact formula in making a CV, but there are several considerations that we can use as a reference in making a CV.

  1. Recruiters don’t have much time
  2. They appreciate the effort given (dislike templates)
  3. They are looking for candidates who match the needs and sometimes the values ​​of their company

So what can we do? So that we can stand out from the many candidates who apply for the same position?

  1. Make sure you have a friendly CV to the Applicants Tracking System (ATS)
  2. Because they believe that CVs reflect candidates, try creating or modifying CVs according to the type of job you are applying for (don’t make one template for all types of positions — give more effort to the CV that will land you a job)
  3. Do your homework! Research! (find out about the problems, conditions, and culture of the company you are applying for, so they can feel that you are the right person from the many people who apply)

The part that I really liked this week was the group study case because we were allowed to brainstorm together and apply the knowledge learned in the learning process together, which was very fun. There’s nothing that I don’t like, maybe I just find it a little difficult in the statistics part because many terms are new and the analysis needed is quite technical, but this is something new and certainly interesting to learn, very grateful to the mentors from Gojek, YABB, and XLFL who really put a lot of effort even into making complete and comprehensive QnA docs!

Did I learn anything new last week? Well, I learned a lot of new things, and will still try to learn them all, because I know everyone has their own time and progress. So even though it’s hard, I have to keep going! Because I believe that #pastiadajalan! 💚

Thanks to those of you who have read up to here! I will try to share the knowledge that I got from this program here, if you want to know more, stay tuned!

Until then, take care of yourself, stay safe! And never stop learning! — Giodio Mitaart

Thinking about how I can inspire others and make one's lives better.