Data is everywhere and without any doubt, it will continue to grow even bigger in years to come. While data is extremely important but searching for the right data can be quite challenging. It is like looking for a needle in a haystack. In order to get useful information from raw data, a data scientist is required. Data science is an interdisciplinary field which employs mathematics, algorithms, statistics, machine learning and artificial intelligence to extract meaningful insights from a large body of data. And a data scientist is a person who can make use of different tools for getting valuable information for businesses.
According to LinkedIn, career opportunities in Data Science are expected to increase by over 35% in future. As the demand for a data scientist is increasing, a career in this field is becoming highly lucrative. In order to make a career in data science, it is advisable to get a certification in data science. There are many different data science courses online available online for professionals as well as for beginners. Depending on the purpose and requirement, an individual can take up a course of their choice.
What is the role of a data scientist?
Before going ahead and looking up Data Science as a career option, let’s understand what does a data scientist do? A data scientist is a computer professional who makes use of his skills to collect, analyze and process a large amount of structured and unstructured data. In present times when everything is driven by technology, companies are collecting data in bulk to make use of it in their daily operations.
As per recent studies, over 2.5 quintillion bytes of data are processed every day. Data Scientist analyzes and organizes this data to make it useful for businesses in decision-making and problem-solving. Data Science is all about defining and solving business problems. If you are planning to take up this field as a career for a better future, there can be nothing like it as this job not only allows you to work while you learn it also helps you to grow in your domain. However, the sad part is, that candidates are attracted to data science due to its glamour quotient and best salary on offer but they forget that to become a data scientist, they should possess the right skill set for this job. Not everyone can be a data scientist and every business needs only that individual who is the right fit for this profile and be able to add benefit to a company and its strategies to grow and keep its customers happy.
How to make a successful career transition in data science?
Since all businesses are keen on getting the best out of data analytics, there is a huge surge in the demand for data scientists. Data plays an important role in formulating the best marketing strategies. And data experts can comprehend the information available and give it to organizations to help them further in growing their business and meeting the demands of their customers.
The Data Science Career Transition is not as easy as it looks. In order to stand out in front of our employers, you should be confident about what you have learned and you should be able to apply this learning in giving practical solutions to a company.
Is data science hard to learn?
Learning data science is not hard; all a student needs is a Bachelor’s degree in Computer science, Social sciences, Physical sciences, and Statistics and interest to experiment and apply theoretical knowledge in practical application. However, by having a degree in any of these courses you will get those skills which you need to process and analyze the data.
Most data scientists are highly educated and they possess an M.Sc. or a PhD. In a few cases exceptions are always there but to grow and excel in this field it is a must to upgrade your skill set from time to time.
Apart from classroom learning or online learning, you can also practice and increase your knowledge by starting a blog, creating an app or exploring data analysis. It is the curiosity and inquisitiveness to learn more and obtain new skills that will help you to move ahead in data science.
Many doubts and questions hover in a student's mind before they can actually opt for data science as a career. The transition into data science will be of benefit only when the right skill set is obtained.
Let’s explore further who can take up data science courses and make it their future.
- Data science for beginners: By joining a data science beginners course, you will learn about python, statistics, machine learning and supervised learning. The course will provide you with elemental knowledge about data science but it is the practical application and your ability to solve real-time problems that will matter for clearing the job interview. Pickl.AI offers courses like Apprentice and Radicle Pro for fresher.
- Data Science for Professionals: A professional who is already working in the field but wants to upgrade their skill set for better job prospects or to get an appraisal can enrol on this course. This program will provide comprehensive learning of the concepts and you will be able to practically apply your knowledge under the guidance and support of an industry expert. Pickl.AI offers courses like Dabbler or you can also take up a free course with them.
The Data Science Course in Delhi is many and they provide both online and classroom classes for teachers. If the course curriculum and fee are as per your requirements you can go ahead and start any of the programs.
There are some technical and non-technical skills that an individual must possess to grow in the field of data science. In technical skills, the tools you should have hands-on experience with are Python, SQL, Tableau and Microsoft Excel. And as per the non-technical skills, you should be good at presentation, communication, critical thinking, problem-solving and working together in a team.
To gain complete expertise in data science, it is of paramount importance to first decide the domain you want to excel. Once done, the next step is to sign up for the course and workup on the practical application instead of just theoretical knowledge. Undoubtedly, the job options will keep increasing at a fast pace in data science and the need for professionals is also likely to go up. Certification will give you that extra edge and shortlist you for the role of a data scientist.
