BASIC IBM SPSS TRAINING
Mainly, they will learn the basic operations of IBM SPSS.
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TRAINING SCHEDULE: Course Duration: 1 day
IBM SPSS TRAINING FOR RESEARCHERS
Learn the basic function of IBM SPSS and how to systematically present your data. Also, learn the assumptions of many statistical techniques and their underlying concepts.
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TRAINING SCHEDULE: Course Duration: 2 days
INTERMEDIATE STATISTICAL ANALYSIS TRAINING WORKSHOP
Our main objective is to impart the practice and art of statistical analysis and build a clear foundation and understanding of how participants may utilize statistical tests that will be presented and discussed during the seminar-workshop. Also, will introduce parametric tests, non-parametric tests, regression analysis, and complex statistical analysis. By the end of the seminar-workshop participants will easily distinguish which statistical test will help solve their research problem. Assumptions, applications, theory, and practical examples will be used and discussed in this workshop.
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TRAINING SCHEDULE: Course Duration:4 days
ADVANCED STATISTICAL ANALYSIS USING IBM SPSS TRAINING WORKSHOP
In-depth and more advanced statistical procedures are available in IBM SPSS. Several advanced statistical techniques will be discussed based on the situations and the assumptions made by each method. Also, how to set up the analysis using IBM SPSS and how to interpret the results.
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TRAINING SCHEDULE: Course Duration: 3 days
STRUCTURAL EQUATION MODELING USING IBM SPSS AMOS
An introduction to structural equation modeling (SEM) using Amos and its graphical interactive path modeling tools. The fundamentals of SEM are reviewed, and modern advances in structural modeling and statistical methods are emphasized, demonstrated with practical examples drawn from a variety of application areas, such as customer satisfaction, healthcare, and education.
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TRAINING SCHEDULE: Course Duration: 3 days
RESEARCH WRITING AND STATISTICAL ANALYSIS SEMINAR WORKSHOP
Our main objective for this seminar-workshop is to impart the practice and art of research writing and statistical analysis. The in-depth seminar-workshop aims to teach the participants the standard of research writing such as writing an introduction, literature, formulation statement of the problem, interpreting results, and many more.
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TRAINING SCHEDULE: Course Duration: 4 days
TIME SERIES AND FORECASTING USING IBM SPSS
This course gets you up and running with a set of procedures for analyzing time-series data. Learn how to predict using a variety of models which take into account different combinations of trend, seasonality, and prediction variables. The Expert Modeler features in IBM SPSS Forecasting will be covered in this course. Also, will emphasize the graphical display of your results so you can visualize your forecasting models.
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TRAINING SCHEDULE: Course Duration: 3 days
INTRODUCTION TO PREDICTIVE ANALYTICS
Through this training course, you will be an expert in predictive analytics. This training course aims to ponder the skills of the participants in analyzing the patterns to predict future growth/sales/performance. IBM SPSS Modeler will be utilized during the training course. As well, analysts spend most of their time reading and interpreting the results.
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TRAINING SCHEDULE: Course Duration: 3 days
DATA VISUALIZATION AND REPORTING
In this training, they will learn the basics of IBM SPSS Modeler. Also, they will engage on how to create charts/graphs that are engaging to the stakeholders. Visualization of data is necessary for every agency to effectively deliver its policy among the stakeholders. It will also, teach on how to use MS Excel and IBM SPSS Modeler simultaneously in creating visuals.
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TRAINING SCHEDULE: Course Duration: 4 days
INTRODUCTION DATA SCIENCE USING IBM SPSS MODELER
In this training, they will learn the definition of Data Science, its benefits in the institution and society. Also, they will engage participants on how to apply the Data Science Pipeline in generating insights from data, how to communicate insights with the use of visualization. Moreover, they will explain the role of data scientists.
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TRAINING SCHEDULE: Course Duration: 4 days
RESEARCH CAPABILITY BUILDING IN-DEPTH SEMINAR WORKSHOP
This seminar workshop will introduce both parametric tests and non-parametric tests including regression analysis. By the end of the seminar-workshop participants will easily distinguish which statistical test will help solve the research problem. It will teach to identify and analyze qualitative data in terms of recurring themes, language, opinions, and beliefs. It will also learn how to write for their desired audience, discuss the purpose of the study, and what content should be included to best tell the story of the data.
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TRAINING SCHEDULE: Course Duration: 4 days
QUALITATIVE AND QUANTITATIVE DATA ANALYSIS IN-DEPTH SEMINAR WORKSHOP
Analyzing qualitative data may be challenging for many researchers. The qualitative part of this workshop aims to educate participants in using various methods in analyzing open-end data. The quantitative portion of this workshop will discuss and review the foundation of basic and inferential statistics. A strong emphasis on the difference between parametric and non-parametric tests.
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TRAINING SCHEDULE: Course Duration: 4 days
FUNDAMENTALS OF MARKET RESEARCH
The main objective of this seminar-workshop is to impart the art of qualitative (mainly FGD) and quantitative data analysis. The tools that the lecturers will present will enable participants on how to conduct market research. The lecture will empower participants towards conducting market research.
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TRAINING SCHEDULE: Course Duration: 2 days
FUNDAMENTALS OF FEASIBILITY STUDY
It discusses the different analytical approaches necessary to conduct a feasibility study, write a sample feasibility study report and engage in a scenario-based presentation of findings.
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TRAINING SCHEDULE: Course Duration: 3 days
DESIGN OF SYSTEM AND MONITORING
The training is designed for furthering the participants’ capacities in the design and implementation of monitoring and evaluation tools.
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TRAINING SCHEDULE: Course Duration: 4 days