Big data wranglers, data scientists acquire and analyse enormous sets of organised and unstructured data. They interpret the outcomes of data analysis, processing, and modelling to generate actionable plans for businesses and other organisations.
A data scientist’s job entails deciphering jumbled, unstructured data from sources like smart devices, social media feeds, and emails that don’t fit neatly into a database.
Data Scientist as a career
Data will control the twenty-first century. Many firms and sectors now consider data science to be an essential component. It can lead to increased conversions, more extensive market analysis for competitive advantage in pricing strategies or product creation, enhanced operational efficiency, and reduced risk exposure through accurate forecasting models.
Disruptive technologies such as the Internet of Things, digital media platforms, smartphones, artificial intelligence, big data analytics, blockchain, and quantum computing have ushered in a new era in which Data Science will be critical to business success.
Data-driven insights may help firms not only transform, but also target new markets, handle customer pain points, increase revenue, and more. As a result, a rising number of businesses are focusing on data collection, interpretation, and use.
Data scientists – Higher in demand than ever before.
India Inc is seeing significant digitization of its industries and services, making it the world’s second-largest data science hub.
The learning curve for Data Science and Machine Learning is severe. Despite the fact that India receives a large number of data scientists each year, just a small percentage of them have the necessary skills and specialisation. As a result, the demand for workers with specialised data capabilities is increasing.
Upskilling and expertise are critical.
The discipline of data science and machine learning is swiftly becoming one of the most in-demand, yet competent people are still in short supply. This is where postgraduate certificate programs in Data Science and Machine Learning can help, giving professionals new ways to advance their careers.
Professionals with a PG certificate can specialise in their chosen discipline and network with others in the same field. A postgraduate diploma can help to advance one’s profession and earnings while also adding new skills and credentials to one’s resume.
In addition, postgraduate specialisation programs provide additional benefits that aid in career development and advancement. Professional courses, such as (PGCP-DSML), necessitate significant time commitments from professionals who are typically working full-time. When considering the potential cost of not specialising versus the compounding benefits of specialising in a high-demand subject like Data Science, it’s helpful to consider the opportunity cost of not specialising.
Specialization’s long-term benefits significantly outweigh its short-term expenses. “An investment in knowledge pays the finest interest,” as Ben Franklin wisely put it.
The author is Tanisha Gupta.