In a world where 2.5 quintillion bytes of data are produced every day, a professional who can work on this huge amount of data is indispensable! Let’s discuss Data Science career opportunities and why they are among the most demanded career options of the 21st century. This article will provide you with that knowledge, so you can spend your time efficiently and choose the right career option for you. The first step is figuring out what career you want actually. Where can your new data science skills take your career? Which path is right for you?
Available Career Options
Data Scientist jobs are the most desired and demanded jobs in the Big Data Analytics and IT industry. Experts predict that Data Science career opportunities will only increase in the coming years! Skilled professionals who can perform operations on Data to provide business solutions are very few. This situation has led to the high demand for skilled professionals who can perform roles like Data Scientists and others.
Various Job Roles
Data Scientists are not only responsible for business analytics, but they are also involved in building data products and software platforms, along with developing visualizations and machine learning algorithms.
Some of the Data Scientist job titles are:
- Data Analyst
- Data Scientist
- Data Architect
- Business Analyst
- Data Administrator
- Data/Analytics Manager
- Business Intelligence Manager
Demanded Data Science Skills
To become a successful data scientist you will require coding skills along with knowledge of statistics, and critical thinking. Some of the in-demand Data Scientist skills are:
- Databases: SQL and NoSQL
- Statistics and Applied Mathematics
- Machine Learning and Neural Networks
- Creative Thinking & Industry Knowledge
- Programming Languages: R/Python/Java
- Working Knowledge of Hadoop and Spark
- Proficiency in Deep Learning Frameworks: TensorFlow, Keras, Pytorch
uCertify offers various comprehensive Data Science courses that help you gain expertise in Data Science and other fields. You can learn concepts with the help of real-world scenarios in our course.
