Data analysis is a multi-disciplinary area that uses scientific methods, algorithms and systems to extract hidden knowledge and insights from data (Structured and Unstructured). Analysis of large amounts of structured and unstructured data to identify patterns can help an organization in many ways. Data analytics is a confluence of mathematics, statistics and computer science disciplines, and incorporates techniques like machine learning, cluster analysis, data mining and visualization. Hence, it is important to bring awareness among researchers & academicians and train manpower on applications of data analytics to do innovative research work, projects, and create knowledge base. This workshop aims to capture the application areas of Data Science. Few areas are 1. Banking and Finance- solving business problems; business and market correlations; fraud and risk detection etc. 2. Smart City Planning and developmentenergy management; traffic data analysis etc. 3. Health care supply chain- predicting disease outbreak, optimize treatment and patient flow etc. 4. Time Series Analytics- reveals associated trends and patterns in data; weather forecasting; stock market prediction etc. 5. Social media and multimedia data analysis behavior analysis, recommender system etc. 6. Astro data analysis – discovery; precision; prediction etc