Career in Data Science for Freshers: Requirements and Scope in Nepal

In today's world, Data plays a crucial role in many firms and industries. Keeping a large amount of data in a traditional approach is a very stressful job so, many companies switch their modality of data storing from the traditional approach to digital method. 

The arrangement, compilation, implementation, amendment and management of the data really need highly skilled IT professionals. Have you ever realized who is behind the proper compiled data that you used to analyze the business? Data scientists are those IT professionals who prepare the showcase mechanism to get you data in a well-managed format.

In this article, we are going to learn what data science is, and what a career in data science is for freshers in Nepal. So, without any ado, let’s get started.

What is Data science?

Data science is an interdisciplinary field that uses scientific methods, compiles, and algorithms, to help the system to extract complete and appropriate insight from noisy and unstructured data. It collabs mathematics, science, statistics, advanced analytics, artificial intelligence (AI), machine learning, and Big data. 

The primary motive for data science is to uncover the actionable insight hidden inside the organization or company. The data can be used to formulate effective plans and policies for a business organization. The working domain of Data Science extract the data through different fields and make them readable to present to you.

What Data Scientists Really Do?

There are mainly three types of professionals included in data science. Data scientists, Big Data Analysts, and Data engineers are the three different IT professionals included to give meaning to Data Science. Now we are going to learn the main responsibilities of those professionals:

Data Scientist:

Data scientists inspect the nature of data and determine the answer needed in the data category and dig the relevant data. Among the other professionals in data science, a field Data scientist is considered the most sensitive professional because they are responsible to have business acumen and analytical skills as well as the ability to mine, clean, and present data. A data scientist can manage a large amount of unstructured data and helps to figure out the real problem in business and suggest a way to make changes in the business by consulting with the stakeholders.

Data Analyst

Another professional who falls under Data Science is Data Analyst, who is responsible to become the bridge between Data Scientist and Business Analyst. The main responsibility of the Data Analyst is to take the technical data from Data Analyst and translate the technical data into the qualitative format and implement the business goal strategies. They also compile data that are highly aligned with the profit-maker business strategy.

Data Engineer

Data Engineers are the professionals responsible to get control and manage the frequently changing data by focusing on the development, deployment, management, and optimization of data pipeline infrastructure. It helps to transform the data for data scientists by querying and manipulating the raw data.

Requirements to become a data scientist 

If you are fresher or intermediate in this topic (Data Science) and searching for requirements to become a data scientist, this is for you. And yes, you are at the right place to learn the requirements to become a data scientist. So without any ado, let's get started:

Develop the Right Data Skills.

The most highlighted stuff to know is Data Scientist is a high-level position so you should have to acquire a broad base of knowledge in the associated field. Before getting the degree of specialization you need to develop the skills which can multiply your effort in the field. Here right data skills mean those data skills which include different subjects consisting of certain boundaries as below:

1. Mathematics
2. Programming
3. Engineering
4. Data Analysis
5. Information Technology

Whatever you choose to start from the earlier mentioned subjects, you should include the implementation of the fundamentals i.e. Python, SQL, and Excel. These are the background concepts of Data Science.

Learn Data Science Fundamentals.

Learning the fundamentals welcomes you to the practice field to understand the advanced stuff. Without having fundamentals you lose your speed in your career so, learning data science fundamentals boost your speed and help to troubleshoot the basic problem along the way. 

There are two ideal methodologies from which you can acquire foundational knowledge. Whether you can join the Data Science course or a Bootcamp, both aim to help to initiate a better career. Throughout the fundamental course, you’ll master theoretical and practical skills like collecting and storing data, analyzing and modeling data, and visualizing and presenting data using every tool in the data science toolkit, including specialized applications like visualization programs Tableau and PowerBI-among others. It makes you overthrow the traditional channels and helps to shape you in the newest channels.

Learn Key Programming Language.

After getting foundational knowledge, you can chase the programming language. Learning key programming languages makes the Data Scientist perform the project in a good manner with high productivity.  The key programming language to learn as a Data Scientist are as mentioned below:

• Python

• R

• SQL

• Hive

Enhance your Practical Data Skills.

After gathering the theoretical and practical knowledge of the earlier mentioned programming language then you should work on more practical-based projects which drastically enhance your practical data skill and make you an expert to troubleshoot the problems that come along the way of the project. While doing the practical projects try to demonstrate the wide range of skills and features in multiple data types. 

Data Visualisation and Presentation.

You can use the different programs to build your super skill in visualization from scratch finding the appropriate method to let the data speak for itself. Among many data visualization programs we’ve mentioned some shortlisted programs below:

1. Tableau
2. PowerBI
3. Plotly
4. Infogram
5. Excel
6. Google Charts 

Job Opportunities for Data Scientists in Nepal

In the context of Nepal, Technology is in the growing stage and yet has not adopted the high-profile IT designations. The scenario of opportunity for Data Scientist jobs in Nepal is highly in demand but the supply of manpower is less than the demand as compared to other IT jobs. 

In the near future, it is expected the growth of Job opportunities for Data Scientists will be very high than today. But choosing a career as a Data Scientist will be a futuristic decision.

Outsourcing companies like Alpha Teds and Fuse machines are working in Data Science. 

What is the salary of a data scientist?

If we talk about the average salary range of Data scientists in Nepal, there is a good pay scale for freshers as they earn on average 20k - 30K NPR per month, as well as an expert in the profession typically, earns around 70k - 150K NPR per month.

How to Get a Job as a Data Scientist in Nepal?

In order to get a Data Scientist job in Nepal or anywhere else in the world, the candidates must have to fulfill some requirements. As we’ve earlier mentioned that Data Scientist falls in a high professional category job one must have sensitivity applying for the jobs. Here are the steps which you can follow while applying for the jobs:

1. Collect and manage the educational and other supportive documents.
2. Browse vacancies in the IT Job portals like JobAxle.
3. Apply for multiple companies. (While applying, submit the internship certificate if you already have it).
4. Prepared for the interview. (Clearly put your queries in front of Human Resources.)
5. Join a company which has the potential for growth.

That’s all you can join as an intern if you are applying as a fresher and want to impress the company.

Conclusion

Are you looking for IT job portals in Nepal? JobAxle is here to help you to get the best profession you deserve in the field of IT.  

You can browse us to get the job vacancies for Data scientists in Nepal.