PGPDM in Data Science and Machine Learning

By the time we reach 2020, we will be producing 50 times more data than we were producing in 2011. Considering this, it is obvious that we need more data scientists who can analyze and evaluate data and create insights from it to drive business growth. Since the time “Data Scientist” was ranked as the hottest job of the 21st century by the Harvard Business Review, coupled with alluring paychecks, there has been a significant rise in demand for data-savvy enthusiasts in several businesses, nonprofit organizations, and public enterprises.  So if you are planning to become a data scientist, but wondering from where to begin, you’ve landed at the right place at the right time. Here is a complete guide to becoming a data scientist. Important Steps You Should Follow to Become a Data Scientist #1 Brush Up Your Skills in Mathematics and Statistics You might know that statistics and probability tools are required in every predictive analysis, since mathematics and statistics ar...

It comes as no surprise that the word ‘machine learning’ often invokes a sense of anxiety and fear in many of us. Fear of machine learning snatching away our jobs one day, or fear of the myriad possibilities of machine learning. However, those who fear that machine learning will take their jobs can breathe a sigh of relief, because humans are adaptive, they are smart, intelligent and more agile than any machine, AI or robot ever created.  Moreover, they have the potential to find a new job if a machine replaces them in their job. Over the past few years, much has been said about the impact of machine learning or artificial intelligence (AI) on employment, particularly the possible effects of automation. These outcomes will happen differently in different sectors. Only time will tell what jobs will get eliminated, but one thing that is certain is that technology will transform the way we live, the way we work and the way we play.  Machine Learning and Artificial ...