Distanclearning Stories

The appointment of the new University Grants Commission (UGC) Chairman in 2025 marks a significant moment in the evolution of India's higher education landscape. With the role of UGC being central to overseeing the quality, funding, and regulation of universities across India, this change is bound to have a lasting impact. As the government appoints a new leader for this critical body, stakeholders-students, academic institutions, and policymakers-are keenly awaiting the direction in which this leadership will steer the country's education system.

Diving into the world of data science can be an exciting adventure for M.Tech students. So, this blog will answer all your questions about pursuing an M.Tech course. What are the benefits of doing data science in the job market? Types of Methods Used in Data Science Various tools are used to extract complex datasets. So, the most common components are programming languages and machine learning libraries. So below, we have mentioned the kinds of methods used in data science: 1.Programming Languages Various programming languages can be used, but the most common & widely used programming languages in data science are Python & R. 2.Machine learning Another method that can be used in data science are Machine learning languages which are built with advanced algorithms for predictive analytics and pattern recognition. These languages provide flexibility and scalability for neural network implementations. 3.Data Science Process It can be used to provide informed decisions through various data-driven strategies. 4.Data Science Problem It is used to analyze business problems so that data science algorithms can be used to diagnose large amounts of data. 5.Data Cleaning It is used to gather relevant data or resources & transform them into quality and consistent data to execute the task.