Research Training
At CARES, we believe that effective research is built on a strong foundation of knowledge and methodology. Our research training programs are designed to empower researchers, scholars, and students with the essential skills and tools needed to conduct rigorous and impactful research.
Through our research training programs, we offer comprehensive workshops, seminars, and courses that cover various aspects of the research process. From research design and methodology to data collection, analysis, and interpretation, our training programs provide participants with practical guidance and hands-on experience.
We understand that research is a dynamic and evolving field, which is why our training programs emphasize the importance of staying updated with the latest research trends and methodologies. Our experienced trainers and research experts are dedicated to providing participants with valuable insights and cutting-edge techniques to enhance their research capabilities.
Few list of Training at CARES
Basics stats and RM using spss
Statistics and RM - Research Philosophy, Methodology and Introduction of Stats using case let.
Basic and Intermediate R
Intro to R, Testing of Hypothesis, Data preparation, correlation, factor analysis and regression.
SEM using R
Testing of Hypothesis, Data preparation, correlation, factor analysis and regress Intro to lavaan, semTools, semPath Packages in R, CFA1st order, CFA 2 nd order and Mediator Analysis Computation of reliability and validity.
SEM using AMOS and Path Analysis
Intro to AMOS , CFA1st order, CFA 2nd order and Mediator / Moderator Analysis using Hayes process in SPSS
PLSEM using R and SmartPLS
Intro to PLSEM, Intro to SMARTPLS, plsem packages in R, outer model, inner model, multi sample test and mediator anlaysis Reliability and valdiity computation.
Introduction to Experimental Design
Key terminologies of Experimental design, types of design, within and between design, interaction effect, ANOVA.
Time series using R / PYTHON
Fundamentals of Econometrics, unit root test, cointegration, ARIMA models, ARCH and VAR mode.
Data Visualization using XL, Tableau, R and PYTHON
Fundamentals of DV, Types of Graphs, KPIs, Decision making.
Data Visualization using Power BI
Fundamentals of DV, Types of Graphs, KPIs, Decision making.