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School of Data Management and Analysis

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1. Comprehensive Statistical and Spatial Data Analysis and Visualization using R

The course will:

  • Introduce participants to R as a quantitative data analysis tool
  • Enable learner master R software and R-studio as a user interface
  • Enable learner import data from various sources
  • Introduce basic statistics for exploratory data analysis including methods for describing and summarizing variable distributions
  • Provide essential skills for data manipulation including selecting subsets and recoding
  • Introduce the visual representation of variables in scatter graphs, bar charts, and histograms
  • Use of R for spatial data analysis and map making
  • Advanced Data Manipulation and Cleaning
  • Advanced Statistical Analysis and Multivariate Methods
  • Advanced Spatial Data Analysis and GIS
  • Interactive Visualizations and Reporting
  • Advanced Mapping, Big Data, and Capstone Project
  • Review and Q&A

2. Comprehensive Power BI Data Analysis and Visualization

This five-day training program aims to equip participants with the skills and knowledge required to effectively use Power BI for comprehensive data analysis and visualization. By the end of this course, learners will:

  • Understand the Power BI ecosystem, including its components and their applications
  • Acquire skills to import, transform, and model data from various sources.
  • Develop proficiency in creating basic to advanced visualizations and interactive reports.
  • Gain expertise in using DAX for complex data analysis and calculations.
  • Learn best practices for data modelling, performance optimization, and report deployment.
What Learners Should Expect:

Participants can expect a hands-on, interactive learning experience that includes:

  • Practical Exercises: Each day will feature hands-on activities where participants will work with real datasets to apply concepts learned.
  • Step-by-Step Guidance: Detailed instructions and support will be provided for each topic, ensuring learners can follow along and practice independently.
  • Revision Materials: Learners will receive access to sample datasets, reference sheets, and guides to support their learning.

Interactive Sessions: Opportunities for Q&A and collaborative problem-solving will be available to enhance understanding.

3. Qualitative Data Management & Analysis using NVivo

This course aims to provide participants with the strategic understanding and applied skills in planning, conducting, and analyzing, reporting findings from qualitative research.

At the end of the course, participants will be able to plan, conduct, and critically assess the quality of the qualitative data gathered during their data processing. Participants will also learn how to use NVivo 12 in Qualitative Data Analysis. 

4. Data Management and Statistical Analysis using SPSS

Statistical Package forSocial Sciences (SPSS) is a comprehensive and user-friendly statistical software for researchers providing visualization and data analytical tools. Participants shall learn the statistical capabilities of SPSS ranging from simple percentages to complex analyses of variance, multiple regressions, and general linear models as well as to generate tabulated reports, charts and plots of distributions and trends.

Participants will review several statistical techniques, gain an understanding of when and why to use these various techniques as well as how to apply them with confidence, interpret their output and graphically display the results.

5. Data Management and Statistical Analysis using STATA

STATA is a powerful and user-friendly command driven package for statistical analyses, data management and graphics. It provides commands to conduct statistical tests, and econometric analysis including panel data analysis (cross-sectional time-series, longitudinal, repeated measures), cross-sectional data, time-series, survival-time data, cohort analysis, etc.

Our STATA training aims at deepening participants' data analysis capabilities, with a focus on complex analytical tasks such as population projections, survey sampling, and data weighting.

By the end of the course, participants will have mastered Stata's advanced statistical functions and will be able to apply them to demographic, health, and social data.

6. Qualitative Data Management and Analysis using ATLAS.TI Training

Course Overview:

This comprehensive course is designed to provide participants with the essential skills and knowledge needed to effectively manage and analyze qualitative data using ATLAS.TI, one of the leading software tools in qualitative research.

This course covers the full spectrum of qualitative research from data organization and coding to advanced analysis techniques, ensuring that participants can systematically explore and interpret complex qualitative data.

Through hands-on exercises and real-world case studies, participants will gain practical experience in leveraging ATLAS.TI for their research projects, making it an invaluable resource for both novice and experienced researchers.

Course Objectives
  • Understand the fundamentals of qualitative data management.
  • Learn how to organize and code qualitative data using ATLAS.TI.
  • Gain proficiency in conducting advanced qualitative analyses.
  • Explore visualization and reporting tools within ATLAS.TI.

Apply qualitative research skills in real-world scenarios through case studies.

7. Introduction to MAXQDA Software in Qualitative and Mixed Methods Data Analysis

Course Overview:

MAXQDA is a software program designed for computer-assisted qualitative and mixed methods data, text and multimedia analysis in academic, scientific, and business institutions. MAXQDA can help you with systematic analysis and interpretation of your data. Analyze interviews, articles, media clips, Twitter tweets, surveys, focus groups, and more.

This course will help you develop a system of categories and mark important information in your data with different codes using MAXQDA flexible and powerful coding features. Write down your thoughts and theories in memos, take advantage of various search functions, connect your qualitative data to quantitative information and present with striking visualization and export option. 

It will also introduce you to MAXQDA software for easier data analysis during the qualitative research process. You'll explore how to do memos, variables, segmentation, coding, and data reduction techniques all in this course.