Course Introduction

The Hands-on Data Analytics Bootcamp is a practical, application-oriented training programme designed to develop participants' skills in data management, statistical analysis, data visualisation, research analysis, and business intelligence.

The programme provides hands-on exposure to SPSS, AMOS, Microsoft Excel, and Power BI, enabling participants to work with data from collection and preparation through statistical analysis, modelling, visualisation, and presentation of findings.

It is particularly useful for students, researchers, faculty members, professionals, and job seekers who wish to develop practical data analytics skills for academic research and professional applications.

Course Objective

The objective of this bootcamp is to provide practical knowledge of commonly used data analytics and statistical tools and enable participants to independently perform data preparation, statistical analysis, structural equation modelling, visualisation, and reporting.

The programme aims to bridge the gap between theoretical knowledge and practical application through hands-on exercises, datasets, case studies, and project-based learning.

Course Outcomes

After successful completion of the programme, participants will be able to:

Understand the fundamentals of data analytics and statistical analysis.
Import, organise, clean, and prepare datasets for analysis.
Use Microsoft Excel for data management, analysis, formulas, charts, and reporting.
Perform descriptive and inferential statistical analysis using SPSS.
Apply appropriate statistical techniques to research and business datasets.
Interpret statistical outputs and present findings effectively.
Understand the fundamentals of AMOS and Structural Equation Modelling (SEM).
Develop and interpret conceptual and path models using AMOS.
Understand model fit and basic SEM results.
Create interactive dashboards and visualisations using Power BI.
Transform data into meaningful reports and business insights.
Identify trends, patterns, relationships, and key findings from datasets.
Present analytical results in a clear and professional manner.
Apply data analytics techniques to academic research, business, and practical projects.
Develop confidence in using multiple analytics tools for real-world data analysis.

Course Highlights

100% Practical Learning

Hands-on exercises, assignments, and project-based learning.

Multiple Analytics Tools

Practical training using SPSS, AMOS, Excel, and Power BI.

Data Preparation

Learn data cleaning, organisation, and preparation for analysis.

Statistical Analysis

Descriptive and inferential statistics and research data analysis using SPSS.

Structural Equation Modelling

Introduction to SEM, conceptual models, and path analysis using AMOS.

Interactive Dashboards

Create data visualisations, dashboards, and reports using Power BI.

Excel-Based Analysis

Use formulas, charts, and reporting tools to analyse and present data.

Research-Oriented Learning

Work with real-world datasets, research case studies, and practical exercises.

Business Applications

Identify trends, patterns, and insights for better decision-making.

Reporting and Presentation

Interpret analytical results and communicate findings professionally.

Course Details

Course Name	Hands-on Data Analytics Bootcamp Using SPSS, AMOS, Excel & Power BI
Duration	30 Hours
Mode of Teaching	Online / Offline
Course Fee	₹4,000/- per participant
Target Participants	Students, Job Seekers, Researchers, Professionals, and Faculty
Tools Covered	SPSS, AMOS, Microsoft Excel, and Power BI

Assessment & Certification

Primax Certificate

A Certificate of Completion will be awarded by PRIMAX EDUACADEMY LLP, subject to successful completion of the prescribed examination.

External Certification

Certificates from NSDC may be provided, subject to successful completion of the respective external examinations and fulfilment of applicable requirements.

Note: Applicable examination and external certification fees are extra and shall be borne by the participant.

Course Syllabus

Download the syllabus for the Hands-on Data Analytics Bootcamp.

Click to Download Syllabus