How To Start Career In Data Science As A Fresher – Today data science has become the king in the field of technology. It is gradually growing very fast and its demand is going to come in every sector. Now the most famous and popular career opportunity is also seen in it. And somewhere people have also started seeing its career opportunity in high demand. If you are thinking of making a career in data science, then first understand that data science includes statistics, machine learning and many different aspects of computer science.
This is a new field, yet due to the high salary package available in it, people are getting attracted towards it, and people are planning to learn it and make their career in it. If you also want to make your career in data science, then you will get complete information in this article about how to start a career in data science.
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Data science is used in many sectors today. Data has been considered valuable in many sectors like ecommerce, healthcare, manufacturing, and energy. Data is present in every organisation which is very important for that organisation, along with this there is a need for data professionals to understand or modify all that unstructured data. And that is why today many big companies are also hiring data scientists.
Job Roles In The Field Of Data Science:
- Data scientists
- Data analysts
- Data Administrator
- Data Engineers
- Marketing Analysts
- Quality Analysts
- Machine Engineer
- Data Manager
How To Start Career In Data Science As A Fresher?
Steps to make careers in the field of data science:
- Step1: Relevant Degrees :- You should have relevant degrees and studies in the field of data science, such as-
- Master’s in Data Science,
- Master’s in Computer Science with a Specialisation in Data Science,
- Master’s in Statistics,
- Master’s in Business Analytics,
- PhD in Data Science, Computer Science, Statistics, or Mathematics
- Step2: Learn hard Skills and soft Skills: Skills are important in every field, so focus on skills and learn them. In soft skills, you should learn good body language and the way of talking. And in hard skills, you will have to have a good hold on languages like Python, R and SQL.
- Step3: Improve your practical knowledge: Data science is a field in which theoretical knowledge is useful only in exams and interviews. But your career depends on your practical knowledge, the better the knowledge you have in practical, the more you can progress and touch great heights.
- Step4: Build online portfolio and Building networking: A strong online portfolio and an active network are vital to advancing your career in data science. They help you showcase your skills, increase job opportunities, and make the connections you need to succeed in the industry.
Some Special Facts To Make Career In Data Science (For IT and Non-IT)
Some special ways by which you can make your career in data science despite being from a non-IT field.
To make a career in data science, you also need to have knowledge of machine learning, deep learning, NLP, Big data technology and cloud computing. Data science is mostly used in the back-end of websites like tools-website, software, AI and ecommerce websites. Data science is not a small field, but all the advanced technology and websites of today depend on it. There are many expectations from data science, and different kinds of information are required in different different places, so always try to have as much knowledge as possible.
You should also have expertise in data tools like tensorflow, pytarch, pandas and git, so that you can manage and understand the data well. Along with this, you should also improve your leadership and speech skills so that you can present and explain your ideas well.