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Training

Training

The services provided by Javi Research Support Services Limited include training services that enable the participants to gain adequate skills and knowledge in different facets of research and data analysis. Here’s a detailed description of each training program:

Data Collection

This training program deals with the methods that are used in data collection. It will enable the participants to understand how to design data collection tools, how to conduct a survey, Interviews and Field observations properly.

  • Key Topics: Introduction to Data Collection, Designing Questionnaires and Surveys, Sampling techniques, Fieldwork planning and management, Collecting data from human participants is one of the most essential yet complex processes in research since people have individual rights that should be respected throughout research. Tools for the Collection of Data and Technologies, Check the data quality and its adherence to the set principles of integrity. Practical Fieldwork Exercises
  • Benefits: Learn how to gather data that is precise and dependable as a student. Fieldwork management and conduction skills have to be developed. Learn how to recognise ethical issues related to data collection and how they can be dealt with.
Data Management

This training focuses on the guidelines of how to manage research data. Other available assignments will teach participants the best practices to follow in handling the data including methods of storage, organization and even security of the data.

  • Key Topics: Introduction to Data Management, Data Lifecycle Management, Data Organization and Storage, Data Cleaning and Validation, Data Security and Confidentiality, Using Data Management Software, Several principles on how data documentation should be done have been proposed as the best practices in the field. Case-Studies/Practical Exercise
  • Benefits: Build up sufficient strategies on data organization and its management during the research process. Get to know the ways of safeguarding data and information. Acquire the ability to work with different data management software.
Data Analysis

Using various software such as;

  • Stata
  • SPSS
  • R
  • Atlas.ti
  • NVIVO, among others

These statistical training sessions include treatment of data and data analysis using various software packages.Through the seminars participants will get to know and understand the practical specifics of using these softwares.

  • Key Topics: Introduction to Data Analysis, Data analysis software overview, Data Analysis with Stata, Data Management in Stata, Statistical Analysis and Interpretation, Advanced Data Analysis Techniques, Data Analysis with SPSS, Data Entry and Management, Descriptive and Inferential Statistics, Advanced SPSS Functions, Data Analysis with R, Introduction to R Programming, Data Manipulation and Visualization, Statistical Analysis and Modeling in R, Qualitative data analysis using atlas.ti, Importing and Managing of Qualitative Data, Step wise process of coding and analyzing the textual data, Visualization and Reporting, An Enduring Guide to Qualitative Data Analysis with NVIVO, Generating Reports and Visualizations
  • Benefits: Master several programs that are used in data analysis as well. Understand how to carry out a quantitative and a qualitative data analysis. Setting targets and goals, training in data analysis and report writing.
Coding

This kind of training provides the knowledge on programming languages and approach to data analysis and software development. 

  • Key Topics: The Introduction to Programming and Coding, Basic Concepts in Programming, Overview of Computer Programming Languages (Python and R), Writing and Debugging Code, Data Manipulation and Analysis, Code projects involved construction and test projects as well as other subtypes of projects such as instructional design and development. Practical Coding Exercises
  • Benefits: Increase abilities to work with computer code to analyze data and for software development. Acquire on the job practice in writing simple code and correcting errors in the programming language of choice. Program in languages that are efficient and optimized.
We are providing customized workshop intervention that seeks to improve participants’ proficiency as it relates to data gathering, data handling, data entry, and data analysis within different application software tools. In particular, these trainings are aimed at benefiting researchers and data analysts, as well as any professional who wishes to enhance their investigative and technical skills. All of the programs contain the practical workout, relevance examples, and professionals tutorial for enhanced understanding of the concepts and skills.