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The two powerhouse domains, Data Science and Artificial Intelligence, stand out as catalysts for innovation and problem-solving.

In the current situation, we are witnessing a highly developed and thoroughly researched form of data science that is rapidly growing and impacting every industry possible. It has significantly propelled technological advancements and exponentially boosted data production. 

Discover the 15-year career journey filled with courage and adventure of Subramanian Ayyappan!

Data Science continues flourishing as an excellent career choice for the current generation. It stands out as one of the most promising and exciting options available. The market is witnessing a surge in demand for data science experts.

The education landscape is witnessing a seismic shift. 

Shobhit says, "The devastating impact of the coronavirus on my family's financial well-being left me in a state of shock and fear. It left me desperate, pushing me to seek a career in a field that would always remain relevant and in demand."

In this questionnaire of Data Science and Generative AI Interview Questions and Answers from Top Companies for 2024, we'll delve into some of the most challenging and insightful interview questions posed by leading companies.

Sanket Vishwakarma's path from a relaxed hostel lifestyle to achieving the position of a Data Engineer at Kellanova (formerly known as Kellogg's) was a captivating tale filled with surprising turns and unwavering decisions.

The following blog illustrates Sanket's journey, transitioning from a carefree lifestyle to becoming a data engineer at Kellogg's.

Let’s face it: if we were to designate a programming language as the heart-throb amongst all programming languages, Python would take the spotlight.

Python is one of the world's most popular and fastest-growing programming languages. While data science is a vast and multidisciplinary field, Python programming is the go-to choice for most data science professionals. Thanks to its versatility, using Python for data science and analytics is a smooth experience.

Whenever I've thought of data science, the first question that echoed in my mind was, "Where do I even begin?"