Premium MembershipIf you could point one thing which kept the world going through pandemic, it would be the Internet. The world population today is not just hanging on the internet, but is building a virtual world of its own. With your profiles on social media, job portals and OTT platforms, individuals like us are living two lives. And, can you imagine what has that done? It has created ‘Big Data’, a multi-billion industry. How can you be part of that industry; Let’s find out:
Big Data - as self-explanatory the term may sound, the details are complex and a career in Big data is thriving. As per Gartner - ‘Big Data are high volume, high velocity, or high-variety information assets that require new forms of process to enable enhanced decision making, insight discovery and process optimization.’ Quoting to some of the data available online, until 2003, the entire world only had five billion gigabytes of data. In 2011, this data was generated over 2 days and in another two-years’ time, this amount of data was generated every 10 minutes, and in 2021, the data is uncountable.
This voluminous data generation is creating a consumer base for every business and even for the government letting the structured and unstructured data being analysed for their best use.
Pandemic might have hit jobs to an all-time low. But according to Forbes, Data Scientists and Data Analysts are the fastest-growing job roles which are about to increase sharply by 28% by 2021. ‘The Economic Times’ reports that India has seen more than 400% rise in demand for data science professionals. This demand is in stark contrast with the supply of such professionals as supply grew only 19%. Picking up on this demand, more professionals are willing to step into this sector but the question in front of them is “Where do I start?”
As an answer to this, there has been specific online programs designed to help beginners learn Big data with ease.
Business houses today are running on the minds of Big Data Analysts, who are out and about professionals who had gained a certification in Big Data. Hence, learning a beginners’ course in Big data is like facing towards the rising sun, instantly uplifting your job profile among the cutting edge demands of the employers.
A simple scroll through your social media, you are viewing ads every few seconds, an advertisement customised for your choice, personality, past searches and more. All of this is being done with the use of Big data and any professional can understand more of this by going through a clear explanatory big data tutorial designed for beginners.
Enrolling in ‘Big Data for beginners’ course can correspond to some crucial learnings of Big Data 101, Mathematics Modelling, Coding in DB Environment and Making Data Sets. As a student you are sure to dig deeper than the surface with Real-Time internship, Placement support, Training Methodology, Capstone Projects, Industry connects and learning through case studies. The dynamics of this course is sure to cover all corners for you and in short big data certification for beginners is rightly the first step forward towards a long journey in this domain.
For beginners, obtaining a Big Data certification opens up the gateway to your success in the Big data spectrum. After completion of the beginners’ course, one can upskill themselves further based on their career interest and choice in the widespread analytical umbrella, which comprises of Predictive Analytics, Prescriptive Analytics, Descriptive Analytics. The mainstream profiles for skilled and experienced professionals are commonly known as Big Data Engineer, Data Scientist, Big Data Analyst, Data Visualization Developer, Machine Learning Engineer, Business Intelligence engineer, Business analyst specialist, Machine learning scientist. These are the profiles which are most sought after in recent times.
Owing to the business needs, Big Data professionals work for a diverse set of companies, almost any company using data requires a big data professional to work for them inorder to make crucial business decisions at the right time. Data analysts work on Wall Street investment banks, Hedge funds, and private equity firms. They also work in the healthcare industry, marketing, and retail. In general, data analysts are everywhere. Big tech companies such as Facebook and Google analyse big data to a dizzying degree. To do so, they employ many of the top data analysts for a variety of purposes including advertising and internal analysis along with a great deal of user analysis. The government sector also employs and relies heavily on information scientists for data collection, mining, and analysis. Insurance and health care companies also have deep data infrastructures that require information scientists as well.
The big world of Big Data today is looking for many such skilful professionals who can add value to every decision made by the organisation thereby increasing the competitive edge and bringing more profits into the business.
Big Data with Spark and Python
Suresh Krishnaswamy (popularly known as Sky) heads our Big Data & Business Analytics Center of Excellence. Sky has rich experience of over 26 years ranging from IT consulting, transition, transformation,applications development, to strategy making and business analyses with leading global IT and Consulting services companies in India and abroad.
