Data is the primary source of information that can influence the decisions that shape the future. In 2022 we have an abundance of data, most of which is being utilized for the betterment of public and private services. During the day we generate a ton of data just by utilizing the gadgets and internet. Until very recently, this huge amount of data was out of reach, in terms of storage and utilization. But now humanity can make use of this data efficiently. Thanks to massive progress in computer sciences and allied disciplines, we can now store and utilize massive amounts of data.
This initiation of data utilization has initiated the rise of data dependency. And thanks to efficient utilization, all aspects of human life are becoming more efficient and favourable with time. Today, not utilizing enough data can be detrimental to the very existence of a venture. Thus the aspect of data utilisation always receives attention and dedicated roles of data professionals are becoming more popular with time.
As a result of this heightened popularity, data science certification courses are also gaining importance among enthusiasts. The data education sector in our country is flourishing thanks to the massive lean towards data. This article will elaborate on the prospects of taking up data science certification courses in 2022. The goal is to enlighten an enthusiast regarding the future in data science both from a professional and academic point of view.
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Why data science? And why now?
The world is going through a difficult period. Arguably one of the most difficult of modern human history. The ongoing recession was already ravaging and the pandemic induced lockdowns acted as a nail in the coffin. Major world economies were rendered irrelevant overnight and daily essentials became out of the financial reach for many.
Amidst all that, the commercial and public entities learnt the lesson a hard way. Thus all the decisions are now being made by adept utilization of data. Data grants the power of predictions and armed with these predictions an adept institute can bring in the probability of real difference.
Thus the role of a data analyst or a data scientist is expected to gain more prominence with time. And a career in data science is least likely to become irrelevant any time soon. In 2022, a data scientist, adept with the industrial setting is an asset for employers. For the employee, this extra dependence and attention mean growth, flourishment and a fulfilling career.
What to look out for?
A data professional today is bestowed with a lot of responsibilities. Some of them are of paramount importance to their employers. Any prospect of accumulating errors and major mistakes can not be dealt with and might result in something very damaging for an institute. Thus employers are reluctant to hire people with little to no relevant experience to speak of. And any applicant with the desired skills developed on the frontlines is prioritized naturally.
Thus, while looking for an upgrade and study proposition in data science. A potential student must keep the aspect of hands-on training in mind and opt for the courses which promise to deliver from the front.
A recommendation will be to relocate to a city which houses the bulk of data-dependent ventures and look for education there. Institutes in these cities are expected to be in touch with the industry and keep themselves updated. Taking up studies in these institutes is more likely to fulfil the prospect of hands-on training in an industrial setting.
What awaits after graduation?
After graduation, a data scientist is exposed to a plethora of opportunities. Both the public and private sectors are trying to become more efficient with their services. And data is making this venture possible by delivering perfect predictions. The times we are experiencing deserve and demand more attention to services and their deliveries. Thus a data analyst is always valued in both the public and private sectors.
In the commercial sectors
Commerce thrives on adept and well-calculated investments. And especially after the sudden strike by covid19, the accuracy of these calculations are of paramount importance. In the commercial sector, a data professional can be deployed as a data analyst. The role of a data analyst is to analyze all kinds of data relevant to the current proceedings of commerce and make sense of seemingly unrelated data.
1. In marketing
In the marketing sector, the adept utilization of data ensures maximum reach and maximum effect without much hassle. Thanks to the abundance of data, a marketing team can figure out all the details regarding the purchase habits and investment tendencies of an entire population. And armed with the extracts of these analyses a data analyst can reach the ones who are willing to invest in a product and might require the same.
2. In product development
In the case of product and development sectors, end-user feedback is being utilized for the preservation of a product’s relevance. Only the end users living with a product or service can spot its shortcomings. Thus a data analyst in a product sector can easily figure out what the target population is looking for and what they need for the money they are willing to spend. Meeting these expectations is the sole purpose of any product team. And the task is a lot easier if a data professional is on board.
In addition to that, launching or upgrading a product requires a smooth flow of data through divisions and teams. And a data analyst is just the person to trust when it comes to the delivery of predictions to even the pines out of touch with data literacy.
3. In the public sector
Data science certification courses are not enough if a student is totally transformed into a professional. A student needs hands-on training and preferably at work educational opportunities, to understand the demands of the industry.
Thus only the data science certification courses that allow for relevant internships are chosen for taking up studies that might help develop long-lasting, industry-tested and assured skills. The demands of a data scientist are always subject to change. But the demand for data scientists is expected to increase for a long time to come.
4. Emergency sectors
Emergency sectors like the fire and disaster management sectors are utilizing data to predict the severity and onset related details of an environmental disaster. Today, thanks to the abundance of similar data it is easy to predict disasters even before the onset and evacuate the potentially at-risk people to safety.
Similar signs of progress are being made in the case of fire safety as well. Places at risk from a fire are being monitored with greater care and success is reflected in the number of lives data is saving every year, around the world.
5. Essential services
The essential services like healthcare and public transport services are currently being transformed by the utilization of data, therapies and medicines are becoming more efficient and accurate and public transport is increasingly becoming less time consuming and accessible for most residential zones.
Data is making all of that possible. And due to these dependencies, the relevance of a data analyst is expected to increase with time, translating into job security and a fulfilling career.
Also read: Top Abilities of A Data Scientist and How to Improve Them
