Data science, especially data analytics, is becoming the most desired job in the world with time. With multiple job positions and abundant opportunities, it is only wise to opt for data science courses after 12th or graduation. Students aspiring to be data analysts need to have a clear picture of how to become a data analyst and what data scientists do.
The first thing that an aspirant needs to know is that data analytics is a subset of data science, and hence knowing what is data science is paramount to learning what data analytics is.
Why a career in data analytics?
As data is becoming the most essential commodity to organizations worldwide, it is only wise to opt for a data science course in India. There are many benefits of data science courses and the most important one is that you can start a career in data analytics.
Business analytics courses will also boost the knowledge of a candidate in data analytics as it will help in understanding the domain better. Before understanding the requirements let us list the benefits of a job in analytics:
- There are many job opportunities in the domain. Thousands of vacant positions are only waiting to be filled by qualified candidates
- The salary of a data analyst is even higher than that of an IT professional
- There are different domains within data analytics that can be a great option for career and salary growth
- A challenging and stimulating work environment with a great work-life balance
- An elite lifestyle
What are the requirements to become a data analyst?
You can opt for data science courses after 12th for UG. But, there are further options to start a data science course in India even after UG at PG or doctorate levels. You can also opt for certifications and diploma courses after the 12th.
At the postgraduate level, you can opt for a specialization in computer management and computer science to start your analytics career.
For pursuing a postgraduate program, a bachelor’s degree with a minimum of 50% marks is required, preferably in computer science or data science and from a recognized university.
Apart from educational qualifications, several soft skills like analytical and numerical skills are important for pursuing a career in data analytics. Further, a deep and thorough understanding of computer software and programming languages including querying languages (like Hive, SQL, and Pig), scripting languages (including Python and Matlab), statistical languages (such as R, SPSS, and SAS), and Excel is a must.
Besides, data analysts must possess problem-solving and interpretive skills to explain and present the process of data analysis and its results to decision-makers.
A data analytics course can help a student after 12th to bag high-paying jobs like data scientist, data engineer, database administrator, data analyst, and data architect. If you want to expand your job horizon, then you can even choose to do business analytics courses to end up in even higher positions with better commissions.