Data Science Pay-After-Placement: Pros and Cons
The education landscape is witnessing a seismic shift.
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."
Jitendra Kumar Pandit's remarkable journey from a humble village in Jharkhand to achieving great success as a Java developer at PeopleTech company and a significant salary increase is nothing short of awe-inspiring.
Despite facing numerous challenges, Jitendra's unwavering determination and commitment to his career goals shine brightly in this extraordinary success story.
In this questionnaire of Data Science Interview Questions and Answers from Top Companies for 2024, we'll delve into some of the most challenging and insightful Data Science 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?"
As per the current industry job trends, Data Science is a highly employable and appealing profession.
Sundar Pichai, a metallurgy engineering degree holder, heads the largest search engine and perhaps one of the most powerful organizations in the world. What does this prove? The IT industry is not confined to individuals with traditional computer science backgrounds. This sentiment is echoed in the inspiring career journey of G. Naresh Babu, a Senior Data Analyst at Capgemini.
7.4 seconds
That's how long a recruiter typically spends reviewing a data science CV before deciding whether or not to move forward with a prospect.