No More Worrying About Jobs After Data Science Course. Explore These 5 Promising Options!

Blog / June 22, 2023

This is a world where 2.5 quintillion bytes of data are processed every day and in this era of digitalization, most enterprises are gathering enormous amounts of data. If you've ever wondered what a data scientist does and what profiles they work at, you've come to the correct place.

The essence of a data scientist is to collect and analyse large amounts of data. Working in data science is like having the best of all worlds. They evaluate, process, and model data before interpreting the results to produce actionable plans for businesses and other groups.

So, if you're pursuing a DATA SCIENCE AND BUSINESS ANALYTICS COURSE and want to build a career in the same area, this blog can point you in the direction of the kinds of positions you've been hoping to land.

So pull up a chair, unwind for a moment, and let's get started!

Promising JOBS AFTER DATA SCIENCE COURSE

Data scientists are in high demand in today's digitally evolving world. About 70% of data science-related job advertisements are currently looking for applicants with less than five years of experience, provided that they have the requisite qualifications and can demonstrate the required skill sets, therefore a huge number of people are pursuing an ONLINE DATA SCIENCE COURSE in order to kickstart their career in this domain. Data scientists are in high demand not only in the IT industry, but also in the FMCG, logistics, and other leading sectors.

Here are some most promising job opportunities after completing a certification or degree programme in data science:

1. Machine Learning Engineer: Machine Learning Engineers are professionally talented programmers that create artificial intelligence (AI) systems that research, design, and generate algorithms that can learn and make predictions using massive data sets.

As a Machine learning engineer your job responsibilities will include the designing, development, and research of Machine Learning systems; analyzing, modifying, and transforming data science prototypes; searching for and identifying pertinent data sets prior to data gathering and modelling; utilizing the results of statistical analysis to improve models; training and retraining machine learning systems, models, etc.

1. Data Architect: Similar to how conventional architects provide blueprints for the framework to build structures, data architects create blueprints for the data management systems used by enterprises. This involves designing a data management framework to meet business and technology requirements while guaranteeing data security and regulatory compliance. As a data architect, you can work in numerous areas, including the technology sector, entertainment industry, health care industry, financial sector, etc.

As a data architect, you will be responsible for turning business requirements into databases, data warehouses, and data streams, as well as developing procedures to ensure data accuracy and accessibility. You will also have to analyze, design, and establish the data architecture framework; develop and deploy data management processes and procedures; Collaborate with various teams within the firm to develop and implement data strategies, construct models, and assess the needs & objectives of shareholders, etc.

Data Engineer: Data engineers build systems that collect, manage, and convert raw data into information for data scientists and business analysts to evaluate in a number of contexts. The ultimate goal of a data engineer is to make data accessible so that enterprises may assess and optimise their performance using it.

1. As a data engineer your role involves developing algorithms to transform data into useful, actionable information; designing, testing, and maintaining database pipeline architectures; collaborating with management to understand company objectives; developing new data validation methods and data analysis tools; ensuring compliance with data governance and security policies; etc.
2. Statistician: Professional statisticians are experts who apply statistical approaches and models to real-world issues. They collect, analyse, and interpret data to support a variety of business decision-making procedures. You can understand the core of statistics and be eligible to work as a statistician by applying to any offline or ONLINE DATA SCIENCE COURSE. Statisticians are valuable professionals in a variety of businesses such as health and medicine, government, the physical sciences, environment-related sector and more. As a statistician you will be responsible for gathering, analysing, and interpreting data, therefore, helping the work of decision-makers. In addition to presenting findings (data relationships and trends) to stakeholders, you will also contribute to the formulation of operational strategies.
3. Data Analyst: A data analyst collects, organizes, and evaluates data sets to answer a query or resolve an issue. They are employed in different areas, including business, finance, criminal justice, science, medicine, and government.

As a data analyst, your responsibility will include developing, updating, and analysing master data; managing users and user profiles; collaborating with QA analysts to provide quality assurance of imported data; processing confidential information and data in accordance with company policies; assisting in the development of reports and analyses, etc.

Conclusion

With this information, it is easy to conclude that a job as a data analyst is in great demand and should be considered. Furthermore, obtaining a degree from a prestigious university such as Shiv Nadar University, Delhi-NCR would provide you with a competitive advantage in the job market.

Shiv Nadar University, Delhi-NCR's DATA SCIENCE AND BUSINESS ANALYTICS COURSE provides a comprehensive understanding of Descriptive Analytics with SQL and Excel; Data Manipulation and Wrangling with Python; Statistics for Data Science; Statistical Modeling with Python; and Machine Learning Models with Python, equipping our students with industry-ready skills and establishing them as a professional.

So, if you're interested in pursuing a career in data science and analytics, Shiv Nadar University, Delhi-NCR is the place to go.