How to Unlock Your Dream Career in Data Without an IT Background

Tangerang – Who doesn’t feel that the world of technology and data is like a rocket that keeps accelerating? Innovations and developments continue to emerge daily, adapting to our increasingly complex needs. Amid this trend, job opportunities in data and technology have become a powerful magnet for Gen Z and millennials. From Data Analyst, Data Engineer, and Data Scientist to ML/AI Engineer, everything is wide open. Are you looking for job vacancies in this field? Easy! Just check job portals like LinkedIn, Jobstreet, or Kalibrr. But, there is one problem– many people want to enter this world, but their skills are not up to industry standards. Hence, many fantastic positions have not been filled by talents who are ready to fight.

Therefore, DQLab, as one of the leading online data learning institutions in Indonesia, strives to facilitate anyone who wants to start learning data. One of the events that is regularly held for free is the Free Class Data Science Fundamentals. This class is a trial class that anyone can attend for free. 

On Wednesday, June 29, 2024, DQLab held another Free Class Batch 41 titled “Career Path in the Data Field: Unlock Your Power of Data” by presenting Taju Mahadhikara, a Business Intelligence Analyst at Air Asia Indonesia. On this occasion, Taju focused on reviewing the sundries of career preparation that must be done by beginners who want to have a career in data.

The discussion started with how to prepare ourselves, such as choosing what role to aim for. For example, a Data Scientist focuses on analyzing and modeling data, which will later produce predictions for the continuation of an organization or company. Then, a Data Engineer is responsible for collecting data sources, building, improving, and creating data ecosystems, and finding solutions from data storage. 

Furthermore, you can choose a role in Business Intelligence, which focuses on understanding and using data to find insights and create business strategies. In addition, Business Intelligence also works with Data Scientists to solve users’ problems based on data.

Taju also reviewed the theories and tools that must be mastered for a career in data, starting with the theory of linear algebra, algorithms, programming, calculus, statistics, databases, communication, and business matrices. The tools that must be mastered include programming languages such as R, Python, and SQL. Then, tools for visualization are used, such as Tableau, Looker Studio, and others. Of course, it must also be strengthened by learning how to use IDEs and expanding the community.

In addition, Taju also provided various important tips that beginners who want to pursue a career in data can apply to build an effective portfolio. Beginners can start by getting used to working on various projects of interest, making the best possible work from the project, publishing it to various platforms such as Git, GitHub, or LinkedIn, and updating your CV or resume with various projects that have been done.

If all these career preparation steps have been taken, beginners must also increase their connections with data professionals, even recruiters in data and technology. In addition, they must be good at reading the job market situation or seeing job opportunities around them so that they can apply quickly and accurately. 

Therefore, reflecting on his experience from a non-IT field, Taju highly recommends that beginners who want to learn and start a career in data take a professional course with DQLab’s Bootcamp Live Class. You can choose many classes according to each role you want to learn, a learning curriculum that has been comprehensively adapted to industry needs, modules with Live Code Editor features, and 24-hour AI Chatbot assistance that can help beginners learn optimally. 

In addition, DQLab has also implemented the HERO (Hands-On, Experiential Learning & Outcome-based) learning method, designed to be beginner-friendly and has been proven to produce excellent talents who have successful careers in the data field. So, what are you waiting for? Prepare yourself for a career in data by signing up or joining the Data Analyst Bootcamp with SQL and Python now!

By Lisya Zuliasyari | DQLab

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. umn.my.id