Do you like resolving difficult problems, building intelligent systems and transforming vast amounts of data into useful insights? If so, being a data scientist might be your next career move. A data scientist is an expert at extracting industry specific insights and answers from data. They use data to understand and find about real world issues by combining programming, mathematics, and business expertise.
From cleaning and evaluating unprocessed data to creating machine learning models and forecasting future patterns, data scientists turn data into tactics that drive success. They find new questions worth asking in addition to providing answers to existing ones.
Table of Content
How to Become a Data Scientist
Future Considerations
Conclusion
FAQs
How To Become a Data Scientist
In order to become a data scientist, you need to follow these steps:
Build a Strong Educational Foundation
Data Scientists need a background in programming languages, particularly Python or R, mathematics, and statistics. To move forward in this career, don’t just focus on theory; work on projects, solve complex problems, engage in case studies, and hand on experience with real world datasets which will help you grow further in this field.
At PGS we feel that education should not be just theoretical. With our MBA in Data Analytics with a specialization with advanced modules in Data Science, you can obtain knowledge of machine learning, deep learning, Big data analytics, statistics and Python for data science. In addition, you will gain hands-on experience with tools such as SQL, Tableau, and Power BI, which will prepare you for real world challenges. In addition, our Bachelors in Science in IT(BScIT) concentrating in AI and Machine Learning can also set you on the path to becoming a Data Scientist, preparing you with the solid foundation required to grow into this career.
Build a Portfolio and Network
Using a good portfolio, you can demonstrate your skills in a data scientist career. Add data visualizations, machine learning projects, and predictive models you have built to demonstrate your ability to solve complex problems. Networking, on the other hand, is equally important. At PGS, you will have the opportunity to participate in seminars and guest lectures which will help you make good connections with mentors, industry leaders, and experts.
Gain Real-World Experience
When knowledge is used, it becomes very powerful. Students at PGS participate in internships and industry related projects with leading IT companies in Nepal such as F1soft, Khalti, Leapfrog, and Cotiviti. These opportunities will increase your skills and self-confidence, allowing you to test models, work with real datasets, and see how your ideas influence business operations.
Apply for Data Science Roles
When you have experience, best skills and good portfolio, you can then apply for jobs like:
- Data Scientist
- Data Engineer
- Data Analyst
- Business Intelligence Developer
The PGS Career Center guides you through with building a good resume, preparing for interviews, and offering job placement services so that you can confidently get into your ideal role.
Future Considerations
With artificial intelligence, big data, and cloud computing, data science is constantly changing. Professionals who continue to learn will be at the forefront and will move into leadership positions such as AI Researcher, Lead Data Scientist, or Chief Data Officer. Starting your career at PGS provides you with the academic knowledge and practical experience, preparing you to face today’s challenges and help you gain the skills required to be a successful data scientist in the future.
Conclusion
A data scientist's work involves technical expertise, problem-solving, and business knowledge. This makes the job difficult but also rewarding .With companies depending increasingly on data for new concepts and decisions, they will require talented individuals. By joining PGS’s specialized program, you can gain the skills, information, and professional experience needed to succeed in this fast changing world. Make the first and smart choice of your data scientist career today by becoming a member of Presidential Graduate School.
FAQs
1. What qualifications do I need to become a data scientist in Nepal?
For data scientists, you usually require a degree in data science, but computer science, mathematics, or statistics is also acceptable. In addition, you need to have strong skill in Python programming.
2.How much does a data scientist earn in Nepal?
Depending on the skills, experience and the company one works in, a data scientist in Nepal often makes between NPR 25,000 to 45,000 a month. And the earning increases as experience grows.
3.Which programming language should I learn first as a data scientist?
Python is the ideal programming language to start because it’s easy to learn and offers libraries and packages that are used for handling and working with data.