Rajarshi School of Management and Technology, Varanasi. Organizes. 3 Days Workshop on Research Methodology and SPSS

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1 Rajarshi School of Management and Technology, Varanasi Organizes 3 Days Workshop on Research Methodology and SPSS 13 th to 15 th July 2018 Venue: RSMT Campus Organizing Team Prof D.B. Singh (Director RSMT) Dr. Preeti Singh Dr. Rajendra Sharma

2 About Rajarshi School of Management and Technology Rajarshi School of Management & Technology is a leading technology institute offering undergraduate and post-graduate programmes in computer application and management. Ideally located in Varanasi, the City of Light, which for millennia has been the center of intellectual excellence, RSMT aims to integrate this eternal brilliance into modern management and technology education. A non-profit institution, RSMT reinvests its surplus to continually upgrade its infrastructure and facilities to promote a flourishing ecosystem of magnificent learning. From the eternal flame, RSMT serves to ignite hundreds of diyas to illumine organizations around the world. About the Workshop Day 1: Excel Data Visualization The ability to analyze data is a powerful skill that helps you make better decisions. Microsoft Excel is one of the top tools for data analysis and the built-in pivot tables are arguably the most popular analytic tool. In this workshop, you will learn how to perform data analysis using Excel s most popular features. You will learn how to create pivot tables from a range with rows and columns in Excel. You will see the power of Excel pivots in action and their ability to summarize data in flexible ways, enabling quick exploration of data and producing valuable insights from the accumulated data. Pivots are used in many different industries by millions of users who share the goal of reporting the performance of companies and organizations. In addition, Excel formulas can be used to aggregate data to create meaningful reports. To complement, pivot charts and slicers can be used together to visualize data and create easy to use dashboards. You should have a basic understanding of creating formulas and how cells are referenced by rows and columns within Excel to take this course. If required, you can find many help topics on Excel at the Microsoft

3 Office Support Site. You are welcome to use any supported version of Excel you have installed in your computer; however, the instructions are based on Excel The Contents: Creating flexible data aggregations using pivot tables Representing data visually using pivot charts Calculating margins and other common ratios using calculation on the pivot table Filtering data using slicers in multiple pivot tables Creating aggregate reports using formula based techniques Gathering and transforming data from multiple sources Discovering and combining data in mash-up Learning about data model creation Exploring, analyzing and visualizing the data. Day 2: SPSS Training Sessions SPSS is the acronym for Statistical Package for Social Sciences. It is indeed a powerful, userfriendly software package for data handling and statistical analysis. SPSS is particularly useful for students, scholars and faculty members because it helps in doing a variety of data analysis with a click and proceeds way. This full-day training on SPSS intends to give concise and uncomplicated descriptions of how to use SPSS to conduct data analysis. To set the expectations of participants at reasonable level it is important to mention that one day training on SPSS could not make them SPSS Expert or data analyst, but their participation in this program will make them learn the SPSS environment for data analysis, they shall be learning by doing such key SPSS functions which are fundamentally essential to manage data, to conduct statistical exploration, to create tables and charts, and to prepare output for incorporation into research study related documents and presentations. SPSS Training Content: 1. Basics of Measurement 2. SPSS Windows and Files

4 3. Creating datasets in SPSS 4. Entering data in SPSS 5. Practical session 6. Numeric description of Data 7. Practical Session 8. Describing data graphically 9. Practical Session 10. Significance Testing: t-test and Chi square test 11. Simple Correlation and Regression 12. Factor Analysis 13. Practical Session 14. Summary Day 3: Web Analytics and Mobile Business Intelligence for Financial Market Exposure to Web and Mobile Analytics with focus on Text Analytics, Sentiment Analytics, Click Analytics, Google Analytics, Difference between Web and Mobile Analytics Software: Python and others Learning outcome: following are the outcomes of the session a) Participants will get exposure to web and mobile business intelligence b) Use of analytics in the financial market c) Learn sentiment analysis for the financial market d) Hands-on experience in analytics in stock market Detection and prevention of financial frauds through blockchain technologies (BDT) Introduction of blockchain technology, the relevance of blockchain in the financial market, blockchain and crypto currency, financial fraud detection through BDT, financial fraud prevention through BDT, hands-on experience on the creation of own blockchain, live examples working of block chains and cryptocurrency. Software: Ethereum and other blockchain software Learning outcome: following are the outcomes of the program a) Participants will get exposure blockchain technologies b) Learn crypto currency

5 c) Learn detection of financial frauds through blockchain technologies d) Preventive measures of financial frauds through blockchain technologies e) Hands-on experience in creating and maintaining block chains Resource Persons 1. Mr. Soumitra Chakraborty Soumitra is presently Director Resource Management at Carving Talent. In addition to his academic and training experience of 15 years, Soumitra is presently Director Resource Management at Carving talent, In addition to his academic & training experience of 15 years, Soumitra has more 10 years of experience in the office automation industry and has worked with Brands like Alcatel, TATA Lucent, Panasonic mainly in the EPABX and KTS segment. Soumitra was part of the telecom revolution in India from intercom days to PABX, KTS, Pagers and Mobile phones. He has worked as a consultant in data conversion industry (PDF to HTML tagging) for a brief period. Presently he is dedicated to teaching and training. His expertise lies is in areas of Spreadsheet Applications in decision making, Digital Marketing, Project Management, Supply Chain, CRM & ERP. Soumitra has a vast experience in academic administration. His research area is online trust in e-business scenario and change management in information system implementation. Mr. Soumitra is associated with National Institute for Entrepreneurship for Small Business Development (NIESBUD) a ministry of Skill initiative as a trainer in the area of Project Management, Digital Literacy, Digital Marketing, and e- Commerce. Conducted various training for trainers of NSDC. He is also associated with Handicraft Mega Cluster Mission (HMCM), a ministry of a Textile initiative to train artisans at various clusters to establish and promote business digitally. Mr. Soumitra has conducted many workshops, FDPs and MDPs in the area of the spreadsheet, Search engine optimization, digital literacy etc Mr.Pankaj Chauhan Mr. Pankaj Chauhan is a management educator, research analyst, writer and trainer with more than 15 years of experience. His training areas in data analysis include training on Learning Data Analysis using SPSS, Web and Social Media Analytics, Understanding Multivariate Data Analysis. He also conducts a workshop on Statistical Interpretation, Research Design, and Research Methodology. He is graduated in science followed by MBA and M.Phil. He has

6 consulted SMEs and Entrepreneurs on new product lines, customer value and segment profiling for profitability. 3. Dr. Krishna Kumar Singh Dr. Krishna Kumar Singh, a doctorate in Computer Science is a data scientist and trainer. His area of expertise is Data Analytics & Big Data. and Cloud Computing, Big Data, Fractal Market Hypothesis, Social Media Mining, High-Performance Computing, Green Computing, Grid Computing, Cluster Computing, BYOD Computing How to Apply: Filled in form along the registration fee should reach the Organizing Team on or before 12 th July Correspondence Details: Mobile Number: , singhpreeti19@rediffmail.com, rajrsmtvns@gmail.com Registration Fee: Rs 750/ (Including Kit, Tea, and Lunch on all the three days)

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