How to Become a Data Scientist After Engineering in 2022?

Here is a complete guide to switching from being an engineer to a data scientist

Every industry is driven by data in today's evolving technological world. Data science is the area of study that involves extracting knowledge from all of the data gathered. Today, Data Science offers one of the most lucrative career opportunities in any industry. As the demand for Data Scientists is increasing, Data scientists analyze and interpret complex digital data, such as the usage statistics of a website, especially to assist a business in its decision-making.

A Data Scientist will be expected to have a bachelor's degree. Higher-level or advanced degrees may not be strictly mandatory to land on a data scientist career. While each student's experience is different, we can safely say that keeping the academic background in engineering as a base, learners, as well as professionals who make a shift to the Data Science field, receive ample opportunities for career growth. The Data Science domain is expected to see an increase in employment opportunities, along with Artificial Intelligence.

How to Become a Data Scientist?

Data scientists are professionals responsible for dealing with big data and helping their employers know the right answers to their questions, may it be for creating a marketing plan or targeting the right demographics for a product. Data science is a diverse field that demands programming knowledge along with an understanding of mathematics.

Essential Skills for Becoming a Data Scientist

• Adequacy in a Programming language: Programming tools such as R, Python, and SAS are very important when performing analytics in data. Hence, programming ability is important in at least one programming language. Python is an open-source general-purpose programming language. Python libraries like NumPy and SciPy are used in Data Science.
• Knowing Big Data tools: such as Apache Spark, Hadoop, Talend, and Tableau, which are used to deal with large and complex data which can't be dealt with using traditional data processing software.
• Clear Vision: Data scientist are required to design algorithms that are effective and fast. Hence, creativity is very important for achieving so. Data science is not only about why it should be done, albeit how it should be done.
• Learn statistics, and mathematical analysis: As data science requires churning out raw data and numbers, mathematical ability is a must-have. Mathematical analysis is the branch of mathematics dealing with limits and related theories, such as differentiation, integration, measure, infinite series, and analytic functions. Statistics is the science concerned with developing and studying methods for collecting, analyzing, interpreting, and presenting empirical data.
• Resoluteness: Working with a continuous influx of data can be frustrating at times. Hence, having a firm determination will help anyone make it through the ordeals offered by the data scientist career and reap hearty benefits out of it.

Some of the top data science courses in India

Purdue University and Simplilearn:

Simplilearn's PGP in Data Science is the best Data Science Course in India, based on the above selection and ranking criteria. This Data Science Course also has a great mix of a comprehensive curriculum, offers a very interactive learning experience through Live Classes by leading professors and experts, and hands-on industry projects. It is a 12 months period of online classes. The program is designed in collaboration with Purdue and IBM. On successful completion of the program, the learner gets a Purdue PG Certificate as well as an IBM certificate.

Advanced Program in Data Science by IIM Calcutta:

Advanced Program in Data Science is conducted by IIM Calcutta for working. This program is mostly online, with a mix of a few live sessions and a four-day on-campus session. Course duration is 12 months. IIM Calcutta certificate would be awarded for learners completing the program successfully.

In Data Analytics by Imarticus:

The PGP in Data Analytics by Imarticus is an offline and online program with 12 months duration. This data science is a good option for someone to start their career in the field of Data Science with 3 Years' experience. It is also a rigorous program with five offline classes of 4 hours each per week. So learners need to be ready for the time commitment.