CHRIST CUx

Skills

Our curriculum matches modern standard practices to provide exceptional training milestones.

Learning Outcomes

Our curriculum matches modern standard practices to provide exceptional training milestones.

Research Variables and Measurement

Identify research variables, levels of measurement, and sampling methods that form the foundation of psychological research and statistical analysis.

CORE KNOWLEDGE

Data Organization and Presentation

Organize and present psychological data using frequency distributions, tables, and graphical techniques for clear interpretation and communication.

DATA ANALYSIS

Descriptive Statistics

Calculate measures of central tendency and variability to summarize psychological datasets and support meaningful statistical interpretation.

STATISTICAL SKILLS

Graphical Data Interpretation

Interpret charts, graphs, and frequency distributions to identify patterns, trends, and relationships within psychological research data.

VISUAL ANALYSIS

Percentiles and Normal Distribution

Analyze cumulative frequencies, percentiles, and the normal probability curve to evaluate data distribution and research outcomes accurately.

QUANTITATIVE REASONING

Statistical Decision-Making

Apply statistical and graphical methods to interpret research findings and support evidence-based decision-making in psychological studies.

RESEARCH APPLICATIONS

ELIGIBILITY CRITERIA

UG and PG students

Course Instructor

Expert guidance from acclaimed industry professional leaders.

Dr Greeshma Rajgopal

Assistant Professor

Dr. Greeshma Rajgopal is an Assistant Professor at CHRIST (Deemed to be University). Her expertise spans cognitive and social psychology, decision-making, health behaviors, gender studies, trauma, and relationships. A UGC NET-JRF scholar, she has published seven Scopus-indexed papers, received international presentation awards, and was selected for an IAAP global research project in 2023.

Program Overview

Academic Curriculum

A meticulous, guided learning path engineered to transform your cloud engineering expertise.

Module 01

Relevance of Statistics in Psychology

Module 02

Frequency Distribution

Module 03

Measures of central Tendency

Module 04

Measures of Variability

Module 05

Cumulative Distribution, Graphic Methods and Percentiles

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Sania Fathima

MBA

“The course provided useful knowledge and insights related to the subject. The content was informative and relevant, and it helped me gain a better understanding of the concepts covered.”

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Kaushik Vallioor Sankaran

MBA

“I thoroughly enjoyed the Micro Credential course. It was direct and very informative.”

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Adrija Roy

MBA

“The modules were structured in a simple and accessible way, making the concepts easy to understand even without prior knowledge of the topic. The workbooks provided valuable hands-on practice, and the course was an enriching learning experience that helped me build practical skills and confidence.”

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Xavier Amith J

MCA

“The hands-on demonstrations and coding sessions were my favourite part. Overall, it was a valuable learning experience that helped me learn beyond the classroom, explore a new area, and become more curious about what AI can do.”

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M A Lekshmi Narayanan

BCom

“It was interesting to learn about a new topic which was predominant in the world. The videos were short and kept me engaged throughout the course.”

Statistical And Graphical Skills In Psychology

Overview

Credentials and Certification

Students exploring industry-relevent skills

Professionals planning to upskill and reskill

Faculty building digital deployment literacy

Course Menu

COURSE DELIVERY