Click to Pay Enquire Now

Latest Updates
  • International Conference on Advances in Engineering and Medical Sciences is scheduled on April 19-20,2024
  • NAAC Sponsored Seminar on 11th and 12th August, 2023
  • Received Permanent Affiliation Letter from Vice Chancellor, JNTUK
  • Kancharlapalli Mounika got best performs award from PEGA and also Prize money of 250$
  • Down Load e-Books from AICTE e KUMBH Portal ( https://ekumbh.aicte-india.org/index.php )
  • ISTS is proud to announce that we got Accreditation for all the programs by NBA.
  • ISTS student from Department of CSE placed in Infosys with 9.5 Lakhs pay package.
  • ISTS got Certificate of Appreciation from APSCHE.
  • ISTS is proud to announce that we have been awarded A+ with 3.37 CGPA by the NAAC.

B.Tech in Data Science

images/data-science.jpg

The B.Tech Data Science course, offered by ISTS Women's Engineering College, is designed to nurture analytical thinking and empower students with the ability to harness the power of Data. Data Science, a multidisciplinary field, aims to extract valuable insights from vast amounts of structured and unstructured data, paving the way for informed decision-making and data-driven innovation. The data science course in engineering curriculum comprehensively covers subjects like statistics, Machine learning, data visualization, big data analytics, and predictive modelling. students of ISTS will gain hands-on experience using various data analysis tools and programming languages, enabling them to explore and interpret complex data sets effectively, which is one of the reason why it is one of the best College for B.Tech. Data Science.

Course Overview:

The Data Science in B.Tech foster creativity, critical thinking, and problem-solving skills, which are essential for addressing real-world challenges across industries.

  • Develop a solid state foundation in Mathematics, Statistics, and Programming providing a strong basis for advanced Data Science concepts.
  • Acquire knowledge in machine learning statistical analysis, data visualization, Big Data analytics, and natural language processing.
  • Master languages like Python, R, and SQL, commonly used for data analysis and manipulation, enhancing proficiency in handling large scale datasets.
  • Gain hands-on experience using industry-standard tools like Tableau, TensorFlow, Apache Hadoop, and Apache Spark to extract insights from complex data.
  • Apply Data Science methodologies to solve real-world problems Utilizing case studies and projects that reflect different domains like finance, healthcare, and marketing.
  • Understand the importance of ethical handling of data and develop a sense of responsibility while working with sensitive information