Statistical And Graphical Skills In Psychology

SKILLS: Psychological Insights | Data Visualization | Evidence Interpretation

Course Fee - ₹ 2000

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Overview

This course bridges psychological theory and research by building practical skills in data organization, calculation, visualization, and interpretation. Covering descriptive statistics, measurement levels, and sampling, it reduces statistics anxiety for undergraduates. The transferable skills prepare students for advanced research, data analysis, and evidence-based practice across academic disciplines.

START DATE

Jul 01 2026

END DATE

Oct 15 2026

Delivery Mode

Online

Duration

15 Hours

Type

Theory

Course Fee

₹ 2000

Credentials and Certification

1 Credit

Course Category Micro-Credentials (Advanced)

TARGET AUDIENCE CHRIST University students

Digital Credential

indicating verified micro-credential completion.

RECOMMENDED FOR

Students exploring industry-relevent skills

Professionals planning to upskill and reskill

Faculty building digital deployment literacy

COURSE DELIVERY

Action-based learning materials with guided assessments and faculty support.

Course 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