08 Jul 2022
Do You Need A Degree To Become A Data Scientist | Ekeeda
Works at Ekeeda
The university has now become the place for individuals to socialize and network with influential people from their field of studies. While it’s a common approach, that people will succeed on mere skills and communication, it’s a myth that floats around. It is not only about what you know, but about who you know and how good you have connections in the industry.
Your university or institutes will give you numerous chances to present yourself and your skills to top-class lecturers or influential people who can help you take a headstart for a successful career. It is much easy to jump-start your career when you have direct access to company employers or HR managers instead of being one in the hundreds of resumes kept on the table of HR managers.
But either way, it’s skills that will speak for you; and if you possess good in-demand skills you’re bound to receive a call from top tech companies and start-ups.
Difficulty In Getting A Job With No Academic Degree
Not all academic fields are uniform when it comes to online teaching platforms. There are certain fields of study such as computer science and language studies, AI, and Data Science that rely mostly on passive intake of information, and it will make an excellent subject to learn online. Other subjects like philosophy and mathematics, and statistics require approaches and engaging extensively with classmates and thus it brings more hurdles for self-paced learning.
While data science is looked upon as a subfield field of computer science, it needs to have a strong foot in the field of fundamentals of Calculus and extensive knowledge of statistics & probability. Due to the field’s deep reliance on maths, an online learner will have trouble in learning concepts. However, platforms like the Ekeeda Data Science Program are designed by industry experts who have years of teaching practice. 1:1 classes will help you clear doubts on complex topics and ensure you get thorough knowledge of the topics. The placement assistance team will help secure jobs in tech companies and start-ups.
New Approach Is Making Universities Out-Dated
While online video courses have been in the market for quite a while, there is a wave of innovation in teaching methods that will prove more effective than university teaching practices, that are interactive and more engaging to the learning audience.
Here are a few ways to learn through new forms of teaching:
Interactive Learning - Such learning was created as a step toward making online learners more proactive. Studies show that passive listening to online programs with not much participation is not an efficient way to learn. If you use such platforms, you will learn various pieces of computer coding and use them to solve a problem such as assignments or capstones from the professional industry. You won’t just be told about price, but the platform will tell you to explain a system with the help of theory. This way you will be able to quickly apply the knowledge that you gain and makes learning in fields like Machine systems, economics, mathematics, and statistics much easier.
Fun & Interactive Learning - One thing the last decade has shown us is how effective games are in capturing people’s attention and gluing them to their seats. That’s why some educators and psychologists have done an extensive research to help bring over some aspects of gaming to education. The curiosity about gaming concepts and principles in the learning system makes it easy for you to focus on learning, retain more information, and feel less fatigue after long study sessions. While this method is just a little old but shows a great result.
Go For Data Science
When you choose to enroll in university it might prevent you from networking. So, the best way is to enroll in Data Science Courses. Such courses are taught by industry experts who have years of experience and teaching practices. 1:1 classes and live mentor sessions will set a perfect stage to gain deep industry knowledge and skills. There are new ways and platforms you can show your skills.
Competition sites like Kaggle offer the best training ground for budding data scientists to show their in-demand skills. They offer competitions from diverse fields from economics to computer science. People who create the best algorithms will get monetary rewards and also great chances for jobs in top tech companies and start-ups. Most employers are impressed if you achieve good results in these competitions and show a practical understanding of the field beyond theoretical knowledge.
Github and Jupyter Notebooks
GitHub and Jupyter allow you to present data analysis in a readable and concise form. Instead of boring old CVs, recruiters are impressed with a rich portfolio that display your skills and work. Thanks to the tools being completely free & intuitive-to-use, you only have to display your true skills when it comes to project tackling. You can build an amazing portfolio from the comfort of your home.
While there are claims university education is slowly perishing; however, there is still little pulp left in it. But, online courses and the route have really swept away the education segment, and more & more individuals are inclined toward this hassle-free, cost-effective mode of education. You can learn professional courses like AI Data Science Machine Learning, Embedded & IoT without a high-grade degree and secure jobs in top tech companies and start-ups. The new approach to learning and portfolio building has made it easier than ever to succeed on your own, and you can definitely do it if you are motivated enough.
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