It is no surprise that you want to choose a challenging and dynamic career path. Taking on such challenges can help you grow in your career and upscale the market. Follow along to understand how to become a data scientist.
Anyone with a curious mind, strong analytical skills, and a passion for number crunching can qualify to become a data scientist. However, to qualify academically, you must graduate with one of these subjects in your curriculum:
Data science is not just for techies; it is a path for every aspiring scientist. A data science degree helps you pursue a career as a data scientist.
To gain comprehensive training in essential skills like programming, statistical analysis, and machine learning, you must pursue a course relevant to your data science career. Enrolling in an online data science course will help you grow rapidly and advance your career in this field.
Sastra University provides a comprehensive Master’s in Science in Data Science to enhance your technical abilities and significantly boost your career prospects and earning potential. You can develop data scientist skills from here, including hands-on projects with flexible learning time.
Your career in data science from a BCom background is already equipped with some foundational skills. Since subjects like statistics and mathematics are essential for completing a data science course, a BCom degree lays the foundation for you beforehand.
The next part of learning that you may find challenging is programming. An online data science course will give you enough time to practice programming languages like Python or R and specialise in these skills.
You will also learn about data analysis, database management, and machine learning during your data science career. These essential skills give you an in-depth understanding of SQL, Power BI, Tableau, Excel and prediction algorithms.
Practical learning and connections with peer groups are always part of any learning curriculum, and Sastra University provides the necessary tools to gain extensive knowledge.
As a data scientist, you can find many opportunities in various fields such as finance, healthcare, e-commerce, etc. The types of job roles you can have in your career are Data Analyst, Business Intelligence Analyst, Machine Learning Engineer, and Data Scientist, to name a few.
Here is the salary range of the above-mentioned jobs, which improves as you move from lower levels to senior positions.
| Job Title | Salary Range |
|---|---|
| Data Analyst | ₹5L - ₹10.0L/yr |
| Business Intelligence Analyst | ₹5L - ₹12.0L/yr |
| Machine Learning Engineer | ₹6L - ₹16.0L/yr |
| Data Scientist | ₹8L - ₹18.6L/yr |
The skill a data scientist acquires is the art and science of drawing out resourceful insights from a vast amount of data. Whether a data scientist has to predict consumer behaviour or optimise operations, the knowledge of data science plays a crucial role. The future that data science has created thrives on curiosity, problem-solving, and innovation, making it one of the most sought-after careers today.
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