Why Data Science is most preferred for Winter Internship Training in 2020?
- January 9, 2020
- Posted by: admin
- Category: industrial training
Data science is the most sought after field in the area of technology. There are multiple courses available which claim to transform an individual into a data scientist within a few months.
The reality, however, remains stark different.
The nuisances of data science cannot be taught through books and theoretical concepts. Thankfully, data science aspirants have realized that. At present, data science is the most preferred field for winter internship training in 2020.
WHY IS DATA SCIENCE POPULAR? WHY ARE WE ADVISED TO TAKE UP INTERNSHIP TRAINING IN DATA SCIENCE?
- A PROMISING CAREER: Data science has been declared as one of the most promising careers by Glassdoor in 2019. In fact, it tops the list by thwarting popular career option like software engineer and product manager. As per LinkedIn, there are more than 50,000 jobs available in the field of data science. These figures are enough to let people know that data is the future.
- EVER-EVOLVING FIELD: Data is growing at an alarming rate every day and has become the fuel of the tech industry. There’s an ever-growing demand for experienced and qualified professionals who can extract insights from the pool of data.
- IMPORTANT ASSET: In 2020, every organization runs on the power of data. From product design to organizational decision-making, every major step is dependent on the insights of data. Naturally, a data scientist is the backbone of a modern organization.
As per reports, the number of data science professionals is also increasing proportionally. Yet, they tend to lack practical exposure which is required to handle the nuisances of the data science industry.
That is where internship training programs come in. They help you get inducted into the professional world and give you a hands-on experience.
In this article, we will explore the importance of internships and industrial training for B.tech students.
DIFFERENCE BETWEEN INTERNSHIP AND INDUSTRIAL TRAINING
Most people use these terms interchangeably. But, as opposed to what people believe, they are different. Both of these programs aim at introducing students to the on-the-job scenario of a particular industry in a different manner.
Internships can be called as trial-jobs where a student gets to work alongside professionals and apply his/her theoretical knowledge in real-life scenarios. Industrial training is a classroom-training to train prospective employees in a specific skill-set. It is generally undertaken by future employers and prepares students for a particular role.
Both these training holds an important role in honing the skills of the future workforce. But, an internship training program helps one in getting an all-round understanding of the work process. As a student, you can utilize your winter break fruitfully by finding the right internship.
How an Internship Program can help you in your Data Science career?
REAL-LIFE EXPERIENCE AND EXPOSURE:
Your course may promise you plenty of practical exposure and project work but it can’t match up to the real-world scenarios. The problems included in your curriculum would be “cleaner” and set-up by a professional who understands the solution.On the real-life work floor, you will get raw, unfiltered data. You will learn how to deal with chaotic and messy problems and work around them. Internships also give you a reality check and prepare you for the work profiles.A young student generally has high expectations from the job. You may be expecting to apply your knowledge of machine learning algorithms right away; the reality is you may not get that chance on an entry-level position.
A CHANCE TO EXPLORE VARIOUS FIELDS:
The world of data science is rainbow-colored. It is an umbrella term which encompasses various work profile like data visualizer, big data architect, data engineer. As a student, you’re generally unaware of the difference among them.When you’re inducted in a real-life workplace, you will get to witness how an entire team of data science work together. You will also be able to find the right fit for your skills. By getting this exposure, you will be able to decide upon your specialization and clear any assumptions regarding various roles.
This experience will also help you understand the languages and tools to master for a successful career. Python and R are considered the main languages for data science field. You will realize how well you fare in them. You will also learn which tools are the companies using. Your dream company may require you to know Hadoop but you wouldn’t know that unless you worked in the industry. This is your chance to eliminate this shortcoming.
HELPS IN NETWORKING:
Networking is the biggest key to success in the professional world. A good internship allows you to interact with industry professionals and leaders. You also have an opportunity to prove your mettle before them.The biggest advantage of internships is the chance of getting a placement offer in the end. Your winter internship can be your ticket to the professional world of data science. All you need to do is work hard and you may be on your way to a good job.
HELPS IN BUILDING AN IMPRESSIVE RESUME:
The weight of an internship is always more on a resume. Your projects or GitHub profile can help you gain brownie point but it is your internship that can move the ball in your court. A sincerely completed internship can help you dominate your interview.It also proves your commitment to the field by proving that you’ve put efforts to learn the tricks of the trade. Internships are essential for resume building. If you haven’t thought about them, now is the time to get yourself enrolled in a good winter internship training.
Last Advice :
Internships can help you bridge the distance between being a student and a dedicated professional.
They help you take charge of your career and shape your future.
If you haven’t yet thought about interning, we suggest you enroll yourself in winter internship.
If you have any more queries, you can always drop us a mail.