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Experiential learning through industry projects
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We transform classroom learning into real-world application concepts. Our motto is to ensure that all our students graduate from the program with industry-ready skills and hands-on experience. Check out some of our top cases for the capstone project. capstone project.
Domain – Operations
Analyse user behaviour & optimise the user workflow using a machine learning algorithm.
You will be required to implement an algorithm on user behaviour data on a web page you developed. The primary objective of this project is based on the characteristics. You need to come up with another set of guided navigation, which can lead the user if the user misses steps in a workflow consistently.
To become a successful Data Scientist one has to :
Here are some of the industry best data science careers one can aim for –
In upcoming years, breakthroughs in the domain of Artificial Intelligence (AI), Machine Learning, Deep Learning and the Internet of Things will revolutionise the Data Science world. Lots of scientific progress and technological developments will ensure that the future will implore everyone to be a part of Data Science. There will be a lot of scope and opportunities available for budding data scientists ahead in the future.
In India, the average salary of a Data Scientist is around ₹698,412 /per year for 1-4 years of experience. A mid-level data scientist earns around ₹1,004,082/per year and a senior data scientist earns ₹1,700,000/per year.
By 2023, the global data science market is estimated to grow into a $115 billion market. And here are the top industries suitable for Data Science professionals in upcoming market value –
Based on the Glassdoor survey, here are the top companies hiring for a Data Science professional
Become proficient in analytical tools like Excel, Python, Hadoop used widely in the field of business analytics
Demonstrate your skills in applied analytics to gather meaningful insights from raw data.
Test your skills through capstone projects and internships and be industry-ready.
Apply latest machine learning concepts to build effective prediction models that assist in critical decision-making aspects for businesses.
Participate in career development exercises and RISE as a Data Science professional.
Attend webinars, expert sessions and guest lectures to upskill and reskill.
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