Why Should Students Start Learning Data Analytics Earlier?

Many students think that learning additional skills can be done later after graduation. In fact, when entering the workforce, companies do not only look at GPA, but also consider experience, portfolio, and competencies possessed.

Amidst the development of technology and Artificial Intelligence (AI), one of the skills that is increasingly sought after in various industries is Data Analytics. The ability to process and understand data is now needed not only by Data Analysts or Data Scientists, but also by professions such as Digital Marketing, Human Resources, Finance, Business Development, and Product Management.

The good news is, you don’t need to wait until graduation or have an IT background to start learning. There are already many easily accessible resources, even for beginners. So, what exactly are the reasons why this skill is worth starting to learn from now? Let’s take a look at the following points!

1. The Workforce Is Becoming Increasingly Competitive

Every year, thousands of fresh graduates enter the workforce with diverse educational backgrounds. On the other hand, companies are now looking for candidates who not only have academic knowledge but are also able to apply skills that are relevant to industry needs. By learning Data Analytics while in college, you have the opportunity to add competencies that can be an added value when applying for internships or your first job.

Also read: Beasiswa Data Analytics Gratis!

2. Data Analytics Is Used in Almost All Industries

When hearing the word “Data Analytics,” many people immediately imagine the profession of a Data Analyst. In fact, almost all divisions currently utilize data in their daily activities. For example:

• Marketing analyzes campaign performance

• Finance processes financial reports and business projections

• Human Resources analyzes recruitment processes and employee retention

• Operations utilizes data to improve operational efficiency

This means that the ability to process, analyze, and understand data has become a competency relevant across various career paths.

3. Build a Portfolio Before Graduation

One of the challenges for fresh graduates is the lack of work experience. Therefore, a portfolio can be a way to demonstrate abilities to recruiters. Through the process of learning Data Analytics, you will practice processing data, creating visualizations, and solving case studies that can be used as portfolio materials to support your CV or LinkedIn profile.

4. Learning Data Analytics Is Not as Difficult as Imagined

Many students hesitate to start because they feel they must be good at math or come from an IT major. In fact, many Data Analytics materials can be learned gradually, starting from the basics using Microsoft Excel, SQL, and Python, to data visualization using Power BI. With a structured learning method, beginners can understand Data Analytics concepts without having prior experience. What matters most is consistency in learning and practicing through real case studies.

Also read: Beasiswa Data Analytics Gratis!

5. Learn Earlier = Be More Prepared to Face Opportunities

When your friends are just starting to find out what skills the industry needs nearing graduation, you will already have competency provisions that can continue to be developed. Learning earlier gives you time to experiment, build a portfolio, take certifications, and understand how data is used in the workforce. The sooner you start, the more opportunities you can prepare for before opportunities come.

Building a career does not start at graduation, but from the small steps you take while still in college. By learning Data Analytics early on, you can be better prepared to face an increasingly competitive workforce and have more opportunities to develop yourself in the future.

Interested in getting started with Data Analytics? DQLab offers a free 1-month Data Science learning program that you can access online!

The curriculum is designed for beginners and covers a wide range of topics, from data processing to data visualization, tailored to industry needs.

👉 Start your learning journey now and take advantage of this free learning opportunity with DQLab here: https://dqlab.id/belajar-data-science-gratis-1-bulan

English translation by Levina Chrestella Theodora

Kuliah di Jakarta untuk jurusan program studi Informatika| Sistem Informasi | Teknik Komputer | Teknik Elektro | Teknik Fisika | Akuntansi | Manajemen| Komunikasi Strategis | Jurnalistik | Desain Komunikasi Visual | Film dan Animasi | Arsitektur | D3 Perhotelan , di Universitas Multimedia Nusantara.