Data Management and Analysis Courses
Below is a list of events under Data Science and Research which are open for registration at this time. You can view more information about this event by clicking on a specific event.
Training Course on Data Management and Analysis for Qualitative Data using NVIVO
This course aims to build the capacity of qualitative researchers in qualitative data management and analysis using NVIVO qualitative software. NVivo software has many features that can assist to simplify the whole process of doing qualitative research.
Training Course on Research Design, Data Management and Statistical Analysis using SPSS
Sound knowledge about the methodology of conducting research and the use of SPSS is very beneficial to researchers. SPSS is a powerful statistical software with robust set of features used in organizing data and extracting actionable insights from the analysis output.
Training Course on Research Design, Data Management and Statistical Analysis using STATA
Knowledge about research designing and use of software for data management and analysis is beneficial to new generation researchers. Stata is a complete, integrated statistical software that provides for data analysis, data management, and graphics.
Training Course on Advanced Data Management and Analysis using Microsoft Excel
Excel has powerful tools that enable users to set up systems that simplify data management, analysis and presentation. This course gives practical experience in the use of Microsoft Excel for data summary, presentation and statistical analysis.
Training Course on Big Data Analysis and Visualization using Microsoft Excel and PowerBI
Ms Excel and Power BI have robust features for gathering and processing big data, analyzes and providing data-driven insights for real-time and informed decision making. Enroll in this training and gain critical skills on big data visualizations and analytics.
Group Trainings on Data Science and Research
Do you wish to partake any of our trainings as a group? Send us your request by clicking on the link below: