The Big Challenges That Data Scientists Face

Data is one of our handles to develop existing technologies. Great hope is directed to a new generation that is good at digging, presenting, and seeking insights from billions of existing data and finding the right solution to solve existing problems. But unfortunately in Indonesia alone the younger generation still has not found “gasoline” for us in the future.

Many people say that “The digital footprint will not disappear” and that’s a big statement. The data is stored in big data. The digital world has a wide reach, unlimited of space and time, easy to accept and share. If in the past we knew the slate trail and only existed in one place, but the digital footprint can be accessed by many people in a short time.

1. Team Work

Data scientists tend to work with several people at once, therefore building chemistry is needed. Each individual certainly has a different perspective, because the difference is often a mismatch of data because of differences in perspectives. Aside from chemistry can also be caused by poor coordination so that what user A wants but what B.

So to become a Data Scientist can not just rely on yourself, you still need good communication skills to solve the problems that will be faced. In one important team has the same vision and mission, so a team will not be able to work well and effectively if each member has a different vision and goals. In addition to having a vision and mission, you must also be able to respect the opinions of others, because without any difference in rainbows only colors in general.

2.Stuck at Work

Data Scientist is also tasked with analyzing existing data, this data consists of millions of data in the database, of course there are moments where you will find a dead end especially when you work of course there will be a grace period where the task must be completed that makes you more rushed and only look in one perspective.

To help you find answers you can ask into a Data Scientist community or in an online forum. In Indonesia there are many associations that accommodate Data Scientist. In the community you can also add to the experience by telling people who first entered the world of Data Scientist first.

Also read Mahasiswi UMN IT Raih Juara Pertama Lomba DQLab UX Challenge

3. Unassured Data Integrity

Integrity is another important aspect of database security. Having data with clear sources can also improve the strategy that will be used by the company. The validity of data is also a challenge that will be faced by Data Scientists. Every company certainly has data stored before, of course, to validate the accuracy of the data takes time and effort, moreover, company data can use different structures, inconsistent data formats, these things can hinder and complicate the process of validation and data search.

The solution to this problem is to make a detailed plan from the beginning. Focus on building a strong basic system, with the stronger the data structure will certainly make it easier to find, access, and analyze data in the future.

4. Build a Data Scientist Career With DQLab!

DQLab is a Data Science learning center that offers online courses for those of you who want to start learning Data Science. DQLab itself has given birth to data practitioners who are proficient in their fields. With DQLab you will learn in a structured manner with case studies and data that match those in the field. DQLab also provides a forum for sharing with 95,000++ DQLab members, as well as with expert data experts.

Let’s build your career now together with DQLab online learning platform! Many facilities provided by DQLab for you.

• Quiz

DQLab itself provides quiz-quiz that can be accessed to test how much you understand the material delivered. With this quiz you can also see how well you do data analysis.

• Sign Up and get a Free Module

Sign up to get the FREE module “Introduction to Data Science” Module is available in the form of R language as well as Python. Both programming languages are the most widely used.

• Live Code Editor

With the Live code editor for you can learn and directly apply it in practice in real time. There is a timer that can keep you from being idle for 30 minutes from the start of the session. This feature is used as a system protection mechanism in learning sessions at DQLab and ensures the security of user data.

• Certificate

Taking a certificate makes you more proficient in the field you are taking. Once you have successfully completed the modules in DQLab you will get a “Certificate of Completion”. With this you are one step ahead of becoming a data practitioner.

*by Annissa Widya Davita | DQLab

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 | International Program, di Universitas Multimedia Nusantara. www.umn.ac.id