Most businesses are targeting their audience on the internet, leading to a surge of opportunities in the web development industry. Notably, the web development salary in India is highly commendable.
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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."
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.
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.
Whenever I thought of data science, the first question that echoed 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.
That's how long a recruiter typically spends reviewing a data science CV before deciding whether or not to move forward with a prospect.