After working in the same field for years, it is usual to feel stuck. In today’s job market, data science has become one of the most in-demand career options. From large tech companies to startups, businesses in today’s era highly depend on data to make decisions, develop products and improve customer experience. According to Fortune Business Insight, the data science market is expected to grow at an average annual rate of 24.7 per cent between 2024 and 2032. Pankaj Kumar Singh, MD of Shard Center for Innovation, stated that not only the career opportunities in this field increasing, but also people who will be working in this field will get much higher salaries compared to other career options. Let’s explore how to build a career in data science, which courses to take, and the expected salaries.
Why choose Data Science as a career option?
Data science involves using various tools, algorithms, and machine learning models to get insights from data. It is crucial for decision-making in numerous sectors like healthcare, finance, marketing, and e-commerce. According to media reports, as businesses today highly depend on data for innovation, the demand for data science professionals may increase by around 28 per cent by 2026. This makes the field one of the most in-demand career options.
Subjects Taught in Data Science:
Introduction to Python for Data Science:
Python is a basic programming language that is widely used in the field of Data science. The courses cover the basics of Python programming and its application in analysing data.
Statistics:
The subject of statistics is considered the foundation of data science. This part teaches a person the important statistical methods for accurately analysing and interpreting data.
Data Analysis and Visualisation through R Language:
R is a programming language and one of the most important tools for data analysis. This subject helps a person to understand data transformation and visualisation. The language is specifically designed for statistical analysis.
Career Options:
Data Scientist:
A data scientist is responsible for analysing complex data, identifying trends, building predictive models and providing insights which is crucial for decision-making. A strong understanding of statistics and machine learning is important for this role.
Data Analyst:
Data analysts mainly focus on interpreting data and creating reports that help in understanding the trend of business. They use data visualisation tools to present arguments easily and make complex data understandable for everyone. Data analysts identify trends and patterns to provide insights that help businesses adapt their planned strategies.
Machine Learning Engineer:
These people are mainly responsible for developing models that enable machines to learn from the provided data and make predictions accordingly. Machine learning engineers develop algorithms to solve complex problems and improve the capabilities of AI tools.
Data Engineer:
These professionals are responsible for creating and maintaining the systems that are required to generate, process and store data. Data Engineers design and manage data pipelines and architectures to ensure smooth data flow. This helps organisations manage and use their collected data effectively.
Jobs and Salaries in Data Science:
The amount of salary depends on several factors like experience, role, location, and company size. Entry-level jobs in data science typically offer an annual salary of Rs 4 to 12 lakh while if you are joining in a mid-level role then you can get a salary offer of around Rs 10 to 20 lakh annually. For senior-level roles in data science, the usual salary offered ranges between Rs 20 to 40 lakh or more per year.
Comments
0 comment