Losing professional relevance is the nightmare that keeps many professionals awake at night. Especially IT and tech professionals in India. The IT and technology sectors of India are highly dependent on outsourced work from major global economies. And during the pandemic-induced lockdowns, this work almost ceased to exist. The country started to suffer from uncontrollable unemployment problems during the height of lockdowns and upgrading became the only viable option for many professionals. But the challenge of managing work, life and an up-gradation course is difficult and for the busy and engaged somewhat impossible. Online analytics courses enter the scene precisely at this important juncture. Online courses are all about work-life balance, and allow the student to have a flexible schedule. Thus not upgrading now can be a detrimental decision.
Why upgrade now?
The tech professionals in India are arguably going through the most precarious of times in their careers. The shining and glorious Indian IT and tech sectors shattered under the culminated weight of recession and pandemic-induced lockdowns. The outsourced work was the lifeline of this industry, and the dependency on western clients was higher than ever. With the lockdowns kicking in, the shining and secure career in IT became a trap. The mundane work was already taking a toll on productivity and that too was taken by the pandemic. The emergence of data science as a major player in the commercial scenario was a morale boost and many professionals with years of experience in handling these outsourced work found their place in the service of data science. With this massive and sudden influx of talent and brilliance, the field started a journey towards absolute finesse and the triumphant march is still in full swing.
Utilisation and analysis of data are the need of the hour. And ventures and commercial entities all across the world are trying to do the same at their full potential. We, by using our internet-connected devices, and gadgets generate a huge amount of data. Just a couple of years ago, humanity didn’t have the power of storing and handling this huge amount. Armed with increased processing speed and storage capabilities, humanity in 2022 is taking the long-awaited lead to a better, more efficient future. Data grants the power of predictions. And the volume of data we can access these days, these predictions are expected to be next to accurate. Thus, both the public and private sectors are harnessing this power and making things easier for them. And this newfound dependency on data has resulted in the deployment of dedicated data professionals and the emergence of new roles, like the aforementioned.
The time is thus just right for an upgrade in either business analytics or data analytics. Given the contemporary demands and possibility of continued relevance, an upgrade with online analytics courses can prove to be a profitable proposition for a student or a professional alike.
What are the roles?
Data analytics and business analytics are the two major roles that are established on the very need for the utilisation of data. A data analyst deals with a huge amount of data of all kinds. Everything from climatic, financial, health and even geographical data can be considered the domain of a data analyst. A business analyst is expected to be a skilled and experienced manager, in touch with multiple aspects of commerce. Business analysts concern themselves with all kinds of business and market-related data. And ensures the prescriptions are put to actual effect. Thus handling huge amounts of data and essential statistical ventures should be a cup of tea for both genres of professionals.
What are the opportunities?
After completion of online analytics courses, a professional gets placed into the public and commercial sectors with similar ease. The dependency on data is the need of the hour and seemingly yields significantly positive results. Thus the need is expected to increase with each passing day and the relevance of an analyst is also expected to go up with time.
The healthcare sector is utilising huge amounts of healthcare and historical data for the development of personalised medicine. The emergence of personalised medicine is expected to save a lot of lives from abrupt endings. The power of processing this huge amount of data is within the grasp of humanity and we are doing our best to harness its latent power. Personalised medicine is the prime and most prominent example of the same. Automatic histological and remote diagnostic systems are also emerging with great promises. And the same data in-store is helping with the optimization, calibration and training processes. Soon the healthcare sectors all over the planet will be armed with the capability of reaching the patient and helping them in their present circumstances.
The era we live in is infested with an abundance of all kinds of data, that too, obtained by ethical means. In the marketing sector, data analysts and business analysts are working with purchase and investment data and figure out the purchase patterns of entire populations. This knowledge is helping entire marketing teams to precisely focus their campaigns on the individuals who might need a product and are willing to invest in the same. Thus the marketing campaigns in our times are precise, accurate and to the point when it comes to targeting ads and offers. And are known to obtain assured results.
A product is a vessel, through which a venture comes into contact with its customers. And it must be upgraded frequently and keep pace with the changing needs of human beings. A business must understand what is being expected from a product and what value the product is providing for the money it claims. Thus the end-user feedback data is being used to its full potential. The end-user feedback data can reveal the expectations of an entire population and a product team can understand the approach they must follow while upgrading a product. The up-gradation of products also involves extensive study of the markets. Which includes the data from a competitor and similar businesses. A good performing product can be analysed for understanding the reasons for its success and the same approach and paradigms can be implemented to other products. This finesse and understanding require experience and skills for handling a team full of diversity. Something can not be gained just by taking up online analytics courses.
A disaster can not always be predicted. But the periodic and routine natural events that turn up to be a calamity can be efficiently predicted with the help of climatic and calamity data. Climatic and environmental data is being used for the purpose of predicting the onset details of a pandemic. Everything from the onset time to the affected population can be pointed out by an effective analysis. And at-risk populations can be relocated to safety away from all the damage. An interesting example can be spotted on the American east coast. The population there are affected by repetitive seasonal storms, arguably the strongest storms in the world. These detrimental events are thus being mitigated by precaution and avoidance. And data in the process is saving thousands of lives every year.