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SPSS

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SPSS

IBM created SPSS, a robust statistical analysis program that is frequently used for predictive analytics, statistical modeling, and data management. For the analysis of survey data, business metrics, and research statistics, it is widely used by researchers, data analysts, and organizations

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Level

Beginner

Duration

8 Weeks

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About 

SPSS

Originally created by SPSS Inc. and later purchased by IBM, SPSS (Statistical Package for the Social Sciences) is a comprehensive data analysis and statistical modeling program. Officially, it is now known as IBM SPSS Statistics. Using descriptive, inferential, and predictive statistical methods, SPSS offers easy-to-use tools for managing, modifying, and analyzing big datasets. It is extensively utilized in a variety of fields, including business analytics, government, healthcare, market research, and academia.

Training Plan

01

About trainer

Working professional who is carrying more then 10 years of industry experience.

02

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03

e-Book

E-book provided by TechPratham. All rights reserved.

04

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05

Video Recording

Daily Session would be recorded and shared to the candidate.

06

Projects

Live projects will be provided for hands-on practice.

07

Resume Building

Expert-guided resume building with industry-focused content support.

08

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

SPSS

Course Curriculum

Introduction to SPSS

An overview of SPSS's features, background, and significance in data analytics. explains the menus, toolbars, file structures, and SPSS interface. An overview of variables, datasets, and data types.

Overview of SPSS
SPSS Interface & Navigation
SPSS File Types & Structures
Variables in SPSS
Data Entry & Importing Data
Data View vs. Variable View

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Additional Program Highlights

Learning Metarials
Resume Writing
Interview Preparation
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Who Should Take

SPSS

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Key Projects

<h1><strong>SPSS</strong></h1>

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Customer Satisfaction Survey Analysis

In order to determine customer satisfaction levels and pinpoint important areas for improvement, this project focuses on using SPSS to analyze survey data.

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Employee Performance and Retention Analysis

You will analyze HR data using SPSS for this project in order to determine the factors influencing

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Healthcare Patient Data Analysis

In order to investigate treatment outcomes and recovery, this project entails reviewing patient records.

Placement Process

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What Makes TechPratham Training Different?

Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
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