10 Reasons to Learn Data Science in 2024 [Updated]

The Data Science Course is one of the most attractive jobs in the present data-driven world.

Glassdoor ranks data scientists among the topmost jobs of the year 2020. Also in terms of job satisfaction, which is one of the essential parameters of job rankings, it ranks Data scientist jobs among the highest scorers.

Linkedin, according to its report on emerging jobs, has maintained data scientist jobs in the top position for continuous three years running.   

Nonetheless, it is comparatively new in the job market, the term itself –  data science course-  is no more unheard-of by most of us, though we may not be fully in terms with what it really means. 

What is Data Science?

In simple words, in a world that is continuously bombarded with astronomical data of all kinds, data science makes sure that the huge incoming data is properly and efficiently made to use to give maximum profit to the intended business or industry. Data science structures the source data, models it, and streamlines its flow to a proper destination. 

As a matter of fact data science course may be a nascent term, its origin is old and branches out from an amalgam of probability, statistics, mathematics, programming, and data analytics.

Before further on this topic, let us briefly understand a couple of terms that go hand in hand with data science course.

Looking forward to becoming a Data Scientist? Check out the Data Science Bootcamp Program and get certified today.

Data Cleansing

It refers to identifying the incorrect, corrupt, duplicate, or irrelevant data, discarding the unwanted ones, and replacing or modifying the bad data with good ones. Data cleansing is a very important step which perhaps is the opening gambit of Data science. Without meaningful and correct data, the entire business or operation may stand fatuous. 

An example may be the headcount and general biographic information of affected people during an epidemic. Wrong data may lead to absolutely misleading statistics and predictions.

Big Data

The name itself suggests the meaning which is nothing other than data that is big or voluminous. Big data is humongous or so fast data that it is next to impossible to be handled by traditional methods. Hence emerges the savior i.e. Data Science Course to lead the big data story.

Artificial Intelligence(AI)

“Artificial Intelligence is – intelligence demonstrated by machines, in contrast to natural intelligence displayed by humans and animals”. 

Wikipedia

In other words, the aim of AI is to make machines or devices that perceive the environment, study different behaviors against them, form an algorithm, and act in accordance with the algorithm formed by the machines. 

Machine learning, which is akin to AI, is one of the widely used data science course attributes, that we shall see in a while.

Data scientists are not rocket scientists but they sure are one of the most sought-after professionals in the job market today. This is due to the fact that the amount of data produced daily is enormous, so the demand for data scientists is very high. But their supply is way below par. This demand-supply gap leads to a high pay scale for data scientists.

There is an ocean of opportunity in the field of data science course

which is implemented across various verticals. Be it healthcare, security, finance, or robotics. You name a field and data science would be a player there in some form or the other. 

Whether you are a student or a professional, you would usually never regret aiming at data science course as a career option. You will understand its significance and start appreciating data science Courses more as you read on.

Who Can Learn Data Science?

The good news is, it is quite viable to take a data science course. There are professional degrees as well as online courses to help you kick-start your tryst with it. 

A piece of better news is, that you do not need a very high educational background/degree to get eligible to learn the nuances of data science Courses. An undergraduate degree would suffice. Just a bit of understanding of any programming language, and good analytical skills and you are ready to tilt the learning curve! Going with the current trend, taking an online course from the comfort of your home is a great and convenient way to pitch into this smokey hot field. 

Let us now delve into the top 10 reasons why you should learn Data Science 

1. Makes You Rich

Well, who wouldn’t want to get rich? And when it comes to data science Course, it offers remarkable emoluments along with an attractive job profile. Data scientists bring great value to the table and are highly sought-after professionals in the IT field. They are the pivot of the core decision-making team in terms of data and hence carry a marked aura.

As I stated earlier, there is a huge gap between the demand and supply of data scientists with their demand on the higher end. This ensures their default high-profile treatment both financially and otherwise. 

Different Roles in Data Science

A point to note here is that the data science Course comprises multiple roles. Not everyone working in the field of data science course in USA is a data scientist. A data scientist is the most experienced of all others in the field. Other roles that are a part of the data science Course With Placement are-

• Big data engineer
• Data analyst
• Machine learning engineer
• Data science manager

We shall learn about these roles a little ahead in this article. Each of these roles is important and well-paid at their experience level. Needless to say, data scientists are paid the most among these, owing to their experience and expertise in the field. But others mentioned here –  do not stand far behind in the league. They too are counted among the ones with the highest salary take away in their horizontal. 

The annual average base pay of a data scientist in India as of April 2020 is  Rs 1,015K – This is based on the Glassdoor Report 2020.

Salary Variation

There sure are factors determining the salary variation in data science – one being the role factor as discussed. Other factors include location, industry type, and financial situation of the company. These in fact are the common salary determining factors for most of the jobs.  

With that said, data science is definitely promising and carries humongous job opportunities. All the roles for that matter that fall under its purview are paid way above average and are offered a glaring job profile.

2. Offers Great Job Opportunities

As I mentioned before, there are multiple roles and opportunities available to be grabbed in the field of Data science. 

Data science has multiple disciplines to work in. All of these render different outcomes, yet these are all interrelated.  Let us discuss them here. 

Data science in general has many roles to offer. I listed out a few common ones. It can be noted that the nomenclature of the same role varies with places and organizations. 

One must focus on honing one’s skills in programming, mathematics, statistics, probability, analytics, and databases to get started with a data science course in Indian learning. As we saw, it is a very promising field with our effort worth spending. 

3. Gives You Decision Making Power

In most of the traditional jobs, what one commonly cribs about is the fact that one doesn’t get to be at the decision-making end. And this becomes a major reason for the mushrooming job dissatisfaction everywhere. 

With a role in the field of data science, you can keep such negative feelings at bay. This is clearly because data science comprises the core decision-making individuals and each of their roles has high weightage and credibility that can never go unnoticed.

4. There is Less Competition in the Field

Though not a complete newbie, data science when compared to other traditional IT jobs, is still new and is growing at a fast pace. This growth rate has triggered a huge demand for data scientists and allied roles in the job market. But there is an alarming skill gap between the demand and supply of data science professionals as the number of these skilled people is quite low. 

This creates an opportunity to learn and grab a seat in the field of data science. Less competition means a better chance to get hired. And a substantial growth rate in the field is a golden opportunity for the aspiring data science candidates. 5. You Learn Diverse Skills 

Any role in the area of data science demands appreciable data-handling skills. This would mean having a strong hold on analytic skills, mathematics, algorithms, statistics, probability, data structure, planning, visualization, predictive modeling, programming, and communication to name a few among others. All these skills can be learned and practiced through a well-defined course to target data science jobs. 

Learning such a vast skill set not only adds to the overall work profile but also polishes our thought process.  We start data-driven thinking and tend to make smarter decisions in various aspects of life. 

6. Gives You Freelancing Opportunities

Data science is basically IT-based and tending to its jobs does not require either physical movement of individuals or any specific work location. All that is needed is a computer device with good internet connectivity. 

A noteworthy point is that the job trend in the current scenario is shifting towards lesser dependence on a single employer. With this, I am coming towards the concept of freelancing, where people hire freelancers who work for a specific job for a certain duration for some project/s and get paid according to an agreed bidding amount. 

Data science which holds a plethora of roles, is not untouched by the concept of freelancing. With sound knowledge and practice in data science, you can offer or opt for freelancing jobs, instead of going by the traditional mode. 

Freelancing in this area is climbing the charts and promises a good prospect in the years to come.

7. Offers Quick Growth

Data science application is available across domains like banking, healthcare, travel, retail, and telecommunication. The demand for data scientists and allied jobs is increasing rapidly due to the ever-growing and speeding data in these verticals. 

Good working knowledge and experience in data science ensure quick career growth. The learning curve in data science is steep and so is the growth curve. In terms of monetary elevation too, the growth rate is noteworthy. 

8. It is Flexible to Learn

Gone are the days when learning always had to be a classroom story. Online learning is in vogue now and leveraging it for data science learning is quite an option to make your learning flexible. 

There are both fixed-duration as well as self-paced learning courses available online at various sites. With proper research, you can zero in on one or multiple data science course/s and set the ball rolling. 

9. Data Scientists are a Desirable Lot

You don’t get them easily whilst you need them badly. This makes the data scientists desirable entities. You can be one too and enjoy the perks of being in demand always. 

There are not many who dare to become one. If you know the essence of being a part of the data science world, you need not hesitate to take that first step towards a future that others would envy to have.

10. You Add a Feather to Your Cap  

Data science is comparatively new in the stream of jobs and getting an experienced and apt candidate in this field is still not an easy bet for employers. It therefore is an opportunistic deal to learn data science, get hired, and enrich your work profile with appealing roles. 

Be it any role of data science, it needs an amazing skill set as mentioned before. Also, the nature of work is far from being a duck soup or a simple affair. The experience you gain from the job gives an exponential boost to your career and you get to stand out from mediocrities. So pull your socks up and jump into the pool of the future. The feather is waiting for your cap!

Conclusion:

Data science is the new engine driving different industries and businesses. Zoom in and you will find yourself using data science already in some form or the other. However, looking closely in the job market one can easily make out the dearth of data science professionals out there.  The skill gap between the demand and supply in the data science job market is huge. The go-getters view it as a profitable affair as they can always skill up and take that technical plunge to reap the benefits of this new opportunity floating around. 

Learning data science with the right tools and techniques can be a game-changer for anyone looking for quality work where they can also show their visibility and credibility. The world today needs more data scientists to make optimal use of the existing technology and more importantly to heal itself through the technical charisma of data science. 

Explore and learn more with Henry Harvin!

Recommended Read:

• Top 15 Best Data Science Courses in Mumbai
• Top 10 Data Science Courses in Pune
• Top 10 Data Science Courses in Bangalore
• Top 10 Data Science Courses in Nagpur
• Top 20 Data Science courses in Delhi NCR
• Top 10 Data Science Courses in India

Also, Check this Video