Career Opportunities after Data Science Course

Data Science is a vast field that involves the extraction of knowledge from large amounts of data using different procedures, techniques, and algorithms. It is used to identify various hidden data patterns and use the information gathered to solve various business issues. Data Science is rapidly evolving and integrates the latest technologies like Artificial Intelligence (AI) and Machine Learning (ML) for advanced data processing. At present, Data Science is used in internet searches, healthcare, gaming, image and speech recognition, recommendations, fraud detection, logistics, AR and VR, airline route planning, etc. With rising demand, Data Science is expected to grow further, making this field an excellent career option. The Data Science Course enables aspiring professionals to learn more about this fast-evolving field and helps them develop all the industry-relevant skills. Job opportunities in Data Science are relatively less saturated, with a salary range that can go up as high as Rs. 44 LPA in India.

This article provides insight into the different career opportunities one can pursue after Data science training. Read on to know more.

Career Opportunities After Data Science Training

Data science is one of the fastest growing fields that ensures some of the most prestigious career options like Data Scientists, BI Analysts, Data Engineers, Data Analysts, Data Architects, ML Engineers, Database Administrators, etc.

Let us look at each of these career opportunities in detail.

  1. Data Scientist

Data Scientists are among the most highly skilled professionals in Data Science. They use their analytical skills to offer different business solutions and help organizations in the decision-making process. The average salary of a Data Scientist ranges between Rs. 3.6 LPA to Rs. 26 LPA in India, and may vary based on experience, company and location.

  1. Data Analyst

The Data Analysts examine and interpret large amounts of data to provide unique and effective business solutions. These professionals identify various market trends and determine an organization’s position in the market based on the metrics. The average salary of the Data Analysts ranges between Rs. 1.6 LPA to Rs. 12 LPA in India.

  1. Data Engineer

The Data Engineers are responsible for extracting and processing different information and preparing them to be used by the Data Scientists and Data Analysts for further business processes. The average salary of the Data Engineers can range between Rs. 3.5 LPA to Rs. 21 LPA in India, and may vary based on experience, company and location.

  1. Data Architect

Data Architects are skilled professionals who design data processing platforms where the data is transformed into meaningful information for various business processes. The average salary of the Data Architects may range between Rs. 14 LPA to Rs. 44.1 LPA in India, making this position one of the most highly-paid Data science jobs.

  1. Business Intelligence Analyst

Business Intelligence (BI) Analysts provide reliable information for organizations based on different data sources. They are responsible for determining an organization’s goals and working on the business reports accordingly. The average salary of Business Intelligence Analysts ranges between Rs. 3.2 LPA to Rs. 16.5 LPA in India, making it one of the most sought-after job opportunities.

  1. Machine Learning Engineer

The Machine Learning Engineers identify the business objectives and create powerful Machine Learning (ML) models to achieve the business goals. The average salary of the Machine Learning Engineer ranges around Rs. 6.5 LPA in India, and may vary based on experience, company and location.

Conclusion

To conclude, Data Science is a rapidly evolving technological domain that aims to streamline various business and technical processes. It involves the extraction of knowledge from large amounts of data using different procedures, techniques, and algorithms. The information gathered through Data Science processes is used to solve various business issues. Data Science is currently used in internet searches, healthcare, gaming, image and speech recognition, recommendations, fraud detection, logistics, AR and VR, airline route planning, etc. Over the years, the integration of Data Science has grown significantly, leading to massive demand for Data Science professionals. The Data Science Online Course helps aspiring professionals learn industry-relevant techniques and get hired in positions like Data Scientists, BI Analysts, Data Engineers, Data Analysts, Data Architects, ML Engineers, Database Administrators, etc. Therefore, training in Data Science ensures a promising career for the aspiring IT professionals.

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