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Data science is an interdisciplinary field that mines raw data, analyses it, and comes up with patterns that are used to extract valuable INSIGHTS from it. Statistics, computer science, machine learning, deep learning, data analysis, data visualization, and various other technologies form the core foundation of data science.

Over the years, data science has gained widespread importance due to the importance of data. Data is considered as the new oil of the future which when analyzed and harnessed properly can prove to be very beneficial to the stakeholders. Not just this, a data scientist gets the exposure to work in diverse domains, SOLVING real-life practical problems all by making use of trendy technologies. The most common real-time application is fast delivery of food in apps such as Uber Eats by aiding the delivery person shows the fastest possible route to reach the destination from the restaurant. Data Science is also used in item recommendation SYSTEMS in e-commerce sites like Amazon, Flipkart, etc which recommends the user what item they can buy based on their search history. Not just recommendation systems, Data Science is becoming increasingly popular in fraud detection applications to detect any fraud involved in credit-based financial applications. A successful data scientist can INTERPRET data, perform innovation and bring out creativity while solving problems that help drive business and strategic goals. This makes it the most lucrative job of the 21st century.

In this article, we will explore what are the most commonly asked Data Science Technical Interview Questions which will help both aspiring and experienced data scientists.