“The ability to take data – to be able to understand it, to process it, to extract value from it, to visualise it, to communicate it – is going to be a hugely important skill in the next decades.” – Hal Varian, Chief Economist, Google.
The word “data” was first used to mean “transmissible and storable computer information” in 1946. From just being portable information to a key and inevitable player in industry, data’s volume, importance and usage has grown drastically. Handling such magnanimous data of varying statistical and technical complexity is not just an added value, but a necessity for enterprise and societal development as data analytics helps in proactivity, mitigating risk, customization and optimization of products.
KCLAS offers Data Science program, adding amusing and unique aspects like guest talks, software training workshops, fellowships, real world projects, research with both primary and secondary data and internships in industries. These initiatives help students to build a rapport with the ever dynamic world of data and have a hold on data analytics.
Data Science program covers job-critical essentials like R, Python programming, Machine Learning algorithms, and NLP concepts, Data Visualization with Tableau in detail through interactive learning model, live sessions by global practitioners, practical labs, IBM Hackathons, and industry projects.
It aims to provide students with an understanding of the role of computation problem solving and to help students feel confident of their ability to write programs that allow them to accomplish desired goals. The program builds a bridge between the recreational world of algorithmic puzzles, and the pragmatic world of computer programming, teaching students to program while solving puzzles. Understanding coding using Python syntax and semantics is an added advantage.
The focus is on developing high quality professionals with the knowledge of real time problem solving by applying mathematical modelling techniques of computational problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems. Students will receive a strong background in statistical and business computing in their course of study. Students who succeed in the field of data science typically have strong quantitative skills, analytical minds, and like to help other people solve problems.
Bachelor’s Degree in Data Science in the under graduation, prepare students an industry ready practitioners, with expertise in Machine Learning, Artificial Intelligence, Big Data Analytics, Statistics and Data Visualisation, all of which constitutes the need of the hour. The learners enhance organizational skills, communication, networking, problem-solving and multitasking.