1. IBM WATSON ANALYTICS Training at GoLogica Technologies Email id: info@gologica.com corporate@gologica.com India : +91 - 82 9696 0414. USA : +1 (646) 586 - 2969. www.gologica.com

2. About IBM WATSON ANALYTICS IBM Watson Analytics is the cutting edge form progressed examination without the multifaceted nature. It comprises of a shrewd information revelation benefit on its cloud, which guides information investigation, mechanizes prescient examination and furthermore empowers easy dashboard and infographic creation. Watson Analytics conveys cloud-based guided examination, information perception and prescient investigation that make understanding information simpler. IBM Watson Analytics (WA) is a more intelligent answer for information examination, giving robotized disclosure and representation highlights that you can’t discover anyplace else. Figure out how to utilize this capable yet simple to-utilize cloud-based instrument for information science and business investigation through our IBM Watson Analytics preparing.

3. Introduction to IBM WATSON ANALYTICS Overview of Watson Analytics Identify Watson Analytics components and the user interface (Overview ) Data Identify data structure limitations and requirements Upload data from flat files Create a secure connection Create a secured gateway Shape data before uploading Upload data from Twitter Refine data Join data sets Add a calculation to the data set Add a data group to the data set Add a hierarchy

4. Discover patterns, relationships, and predictive insights Change column headings Sort data Perform analysis using natural language questions Edit targets in a predictive analysis Navigate the spiral in a predictive analysis View decision rules and the decision tree Provide added value to the analysis Share the analysis through email Add social commentary to the analysis Assemble a display Change visualization types in a display Modify properties of a display Filter visualizations in a display Control access Share assets and set access permissions

5. Other Trainings SAP ORACLE SAS Big Data LANGUAGES IBM PEOPLESOFT NETWORK CLOUD COMPUTING TESTING SIEBEL Mobile Applications Microsoft Web Technology Workday Hyperion FUSION Digital Marketing

6. THANK YOU