SESSION 1: DEVELOP BIG DATA USE CASE MANY ORGANIZATION DESIRE TO JUMP INTO BIG DATA, HOPING TO GAIN ADVANCEMENT THROUGH THIS CUTTING-EDGE TECHNOLOGY. HOWEVER, ONE OF THE MOST CHALLENGING TASKS IS TO FIRST IDENTIFY THE USE CASE, AND THEN TO PERFORM FEASIBILITY STUDY TO ENSURE THE FINAL PREDICTIVE MODELLING CAN BENEFIT THE ORGANIZATION. THIS SESSION SHALL RUN THROUGH THE DATA SCIENCE PROCESS ESPECIALLY ON IDENTIFYING USE CASE, PERFORM DATA EXPLORATION AND TO DEVELOP THE PREDICTIVE MODELLING USING PYTHON. SESSION 2: EASY IMPLEMENTATION OF BIG DATA INSTEAD OF HARDCORE PROGRAMMING USING PYTHON, THIS SESSION WILL SHOWCASE HOW TOOLS CAN ASSIST IN BUILDING PREDICTIVE MODELLING WITHOUT CODING. THIS SESSION SHALL ALSO SHOW HOW THE PREDICTIVE MODELLING CAN BE USED IN ACTUAL APPLICATION. FINALLY, THE OUTPUT OF THE BIG DATA MUST BE SHOWN IN THE DASHBOARD WHERE USERS CAN ACCESS TO THE INFORMATION IN MOST USER-FRIENDLY INTERFACE. SESSION 3: UNSTRUCTURED DATA ANALYTICS THIS SESSION WILL SHOW THE REAL USE CASE OF UNSTRUCTURED DATA ANALYTICS INCLUDING SENTIMENT ANALYSIS, DOCUMENT COMPARISON, DOCUMENT SUMMARIZATION AND OTHER POWERFUL FEATURES.