Data science is the study of the generalizable extraction of knowledge from data, using statistical and computational techniques. It incorporates varying elements and builds on techniques and theories from many fields, including signal processing, mathematics, probability models, machine learning, statistical learning, computer programming, data engineering, pattern recognition and learning, visualization, uncertainty modeling, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products. Data Science is not restricted to only big data, although the fact that data is scaling up makes big data an important aspect of data science. Data science techniques impact how we access data and conduct research across various domains, including the biological sciences, medical informatics, healthcare, social sciences and the humanities. Likewise data science heavily influences economics, business and finance. From tfhe business perspective, data science is an integral part of competitive intelligence, a newly emerging field that encompasses a number of activities, such as data mining and data analysis, that can help businesses gain a competitive edge.
Software engineering is the study and application of engineering to the design, development, and maintenance of software. Applications software engineering can include but is not limited to mobile development, web development, software as a service, embedded systems, among others. Our specific areas of expertise in software engineering lie in the arena of web and mobile application development with server applications.
Signal processing is an area of computer science, electrical engineering and applied mathematics that deals with
operations on or analysis of digital signals. Signals in this context can mean sound, electromagnetic radiation, images,
and sensor readings.
Our specific areas of expertise in this domain are in image processing, image recognition, computer vision, machine vision and application of machine learning and artificial intelligence algorithms (like pattern recognition, classification, regression) on them.
An image in this context is just a two dimensional signal, and processing images involves applying traditional signal processing algorithms in two dimensions.