APPLIED DATA ANALYSIS (SPSS DATA ANALYSIS)

Course SynopsisThe course is designed for both beginner and advanced researchers who wish to learn about SPSS Data Analysis for the purpose of research. Any undergraduate and postgraduate level students/professionals from any background who want to study the practical approach to data analysis is welcome to take the course. There is no prior educational level needed for this course; nonetheless, you should have strong convictions about what Data Analysis is and what you intend to achieve from it. Required TextbooksAndy Field, “Discovering Statistics Using IBM SPSS Statistics” Sage Texts.Darren George and Paul Mallery, “IBM SPSS Statistics 25 Step by Step”, Routledge.N.L. Leech, K.C. Barrett and G.A. Morgan, “IBM SPSS for Intermediate Statistics”, Routledge. Completion CriteriaAfter fulfilling all of the following criteria, the student will be deemed to have finished the Module:Has attended 90% of all classes held.Has received an average grade of 80% on all assignments.Has received an average of 60% in assessments.The tutor believes the student has grasped all of the concepts and is ready to go on to the next module. PrerequisitesThere is no prior educational level requirement for this course.If you are only interested in theory and have no interest/patience in spending at least 10 hours every week throughout the duration of the course, then this course might not be for you.If you have absolutely no idea about programming or do not see yourself doing programming in the next six -odd months, then this class may not be for you.

Crash Course for SEE Students

DIGITAL LITERACY (TRAINING AND WORKSHOP)

Course SynopsisThe ability of an individual to locate, assess, and transmit information through typing and other media on various digital platforms is referred to as digital literacy. It assesses a person's grammar, writing, typing skills, and ability to use technology to create text, images, music, and designs. Completion CriteriaAfter fulfilling all of the following criteria, the student will be deemed to have finished the Module:Has attended 90% of all classes held.Has received an average grade of 80% on all assignments.Has received an average of 60% in assessments.The tutor believes the student has grasped all of the concepts and is ready to go on to the next module.

DIPLOMA IN POWER BI

Course SynopsisThe Diploma in Business Intelligence (BI) is a comprehensive program that emphasizes data analysis and analytics. It equips students with the necessary skills to collect, analyze, and interpret data, enabling them to support decision-making in organizations. The curriculum covers data management, visualization, predictive analytics, and data-driven decision-making. Graduates can pursue roles as data analysts, BI analysts, or consultants across various industries. Required Textbooks"Business Intelligence: A Managerial Perspective on Analytics", Ramesh Sharda, Dursun Delen, and Efraim Turban (4th edition)."Business Intelligence and Data Analytics",Anup Thapa."Business Intelligence Guidebook: From Data Integration to Analytics" by Rick Sherman (1st edition). Completion CriteriaAfter fulfilling all of the following criteria, the student will be deemed to have finished the Module:Has attended 90% of all classes held.Has received an average grade of 80% on all assignments.Has received an average of 60% in assessments.The tutor believes the student has grasped all of the concepts. PrerequisitesFundamental understanding of programming, bits/bytes, procedures, classes, and computer architecture. It's absolutely acceptable if you only have a theoretical understanding of programming, but you should be certain about what programming is and what you intend to gain from this session.If you are only interested in theory and have no interest/patience in spending at least 10 hours every week throughout the duration of the course, then this course might not be for you.If you have absolutely no idea about programming or do not see yourself doing programming in the next six -odd months, then this class may not be for you.