Data science is growing to be one of the best careers for tech savvy professionals across the world. The field is still in its growth stages and it is expected to grow for at least the next 30 years. But, getting a place in the field requires a bit of training and expertise in certain streams of knowledge such as analysis, statistics, machine learning, neural networks, etc.
You can gain this knowledge by learning a data science course and start implementing them. Once you equip yourself with the required skillsets, you can make a name for yourself in the field and grow on. As of November 2023, there are more than 85000 job vacancies in India for people skilled in data science.
It is a growing field that you can make as your career. As for the kind of jobs you can go for after the data science course, here is a list of them and what it takes to become an expert in them.
Data Analyst – The Entry Level Job in Data Science
A data analyst is responsible for various tasks such as visualisation, munging, and processing of massive amounts of data. You will be handling all the data, and optimising it at the same time. The job also requires you to perform queries on the data from time to time.
As part of optimisation, you will also create and modify algorithms to cull information from large databases without corrupting the existing data. SQL, R, SAS, and Python are requirements for a promising career as a data analyst, and having a certification in these will help you get into the interviews easily. You also need to hone your problem solving skills to work better in the field.
Data Engineer – The Intermediate Level
A data engineer is responsible for building and testing scalable data management systems which can be used to run and test algorithms. The data scientists will be running the algorithms, while the engineers construct the systems in the first place.
As a data engineer, you will also be working with the existing data systems, monitoring their efficiencies, and upgrading them whenever necessary. If you have working experience in Hive, NoSQL, R, Ruby, Java, C++, and MATLAB, you are eligible to become a data engineer.
Data Scientist – The Specialist with Ample Experience in Data Science
Data scientists are a step above data analysts and data engineers. As a data scientist you will have to understand a business using its data and offer valuable inputs to develop the same. You will be processing, cleansing, analysing, and integrating data and forecast trends in businesses. You will be collaborating with the business teams, product design and engineering teams alike to enhance the business from the root level. You need to be an expert in R, MATLAB, SQL, and Python to become a data scientist.
Business Analyst – A Unique Breed of Managers with an Experience in Data Science
Business analysts are a slightly different group in the data science sector. Their job is to mediate between data engineers and management executives to ensure smooth transfer of information between the two groups.
Therefore, they need to have expertise in both data management studies and business management studies. As a business analyst you will be handling large volumes of data and sorting the valuable big data from the low-value data, and use the big data to make actionable decisions for business growth.
Machine Learning Engineer – The Expert and a Craftsman
You might wonder, how come a person in data science be equated with a craftsman. However, what a Machine Learning Engineer does is nothing short of an expert craftsman.
Of all the data science jobs that are opening up, the machine learning engineers are most demanded right now. If you have expert knowledge in tech such as SQL, REST APIs, etc., then you are about to shine as a Machine Learning Engineer.
You will design and develop machine learning systems, test them, and also develop apps based on the customer requirements. You will also build data pipelines, perform A/B testing, and implement algorithms such as classification, clustering, etc. on real-time basis.
Data Science Courses to Kick-start Your Career in the Field of AI & ML
If you need to become an expert in Data Science, you need to have a broad spectrum of knowledge on important languages, databases, tools, and other platforms. While the broad set of skillsets will include Python, SQL, Java, Ruby, MATLAB, you might have to specialise in a few to pursue a specific career.
While we have highlighted 5 of the most common career choices for people in India, there are literally hundreds of new streams that will open up in the next few years. As more and more companies embrace the data revolution, the need for people with domain specific knowledge and data science background will only increase.
So, what are you waiting for? Join a Data science course in Bengaluru today and become a highly paid expert.