Everything You Need to Know About Becoming a Data Scientist and Other Data Science Roles

August 5, 2021 By: Sushma Palla

Data science is a comprehensive field that uses scientific methods, processes, algorithms, and systems to extract knowledge and meaningful insights from the vast amount of structured and unstructured data. It combines statistical mathematics, computer engineering and business domain knowledge. Thus, Machine Learning, Software Development and Business Analytics are the essentials that one needs to consider if planning for a career in the field. The popularity and need for data science are growing day by day with each business and company integrating data science techniques for conclusive actionable results, grow their business, and provide the ultimate customer experience. The systematic and well-thought use of data can ensure businesses to save significant time and money and open different channels providing higher profits and ROI.

Advanced analytic techniques and technological principles work in tandem to extract transformational business data and help organizations reduce costs, improve profits, make the most of each business opportunity, enhance the experience, understand markets and marketing channels better and so much more.

Data science at its core scrutinizes and involves the study of tonnes of data using advanced tools to find and fix anomalies, overlooked patterns, obtain relevant and meaningful information, and enable businesses to make smarter decisions. Data science specializations that one can focus on are data engineering and data warehousing, operations-related data analytics, data mini, data visualization, data preparation, predictive analysis, business intelligence and strategy making, machine learning and cognitive specialist, mathematics and statistics, and software programming. Aspirants finding this a booming area because of its outreach into research, engineering, cybersecurity, analytics and marketing can look for roles as Data Scientist, Data Analyst, Data Engineer, Database Administrator, Machine Learning Engineer, Data Architect, Statistician, Business Analyst, Busines Intelligence Developer, and other technology specialised roles such as AI specialists, Deep Learning specialists, NLP specialists, etc.

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