This training will help students learn how to use IBM SPSS Statistics, a powerful program for analyzing and understanding data. The class covers how to work with data, descriptive statistics, hypothesis testing, regression, and more advanced analytics. You will also get to work with real-world datasets for business and research purposes. By the end, you'll know how to read, see, and present data insights in a clear and useful way.
Data Analytics And Bi Training
SPSS Certification Training
With our SPSS Certification Training by Techpratham, you can learn how to analyze data and manage it better. Learn how to use SPSS tools for research, business insights, and making predictions.
5/5(4,890 Reviews)
Level
Advanced
Duration
8 Weeks
Placement Client
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About SPSS Certification Training
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 Certification Training Course Curriculum
Introduction to SPSS
Learn the basics of SPSS and its applications in analytics.
Interface overview
Data types & formats
Variable creation
Import/export data
Data Management & Preparation
Learn how to prepare datasets for precise analysis by organizing, cleaning, and preparing them.
Defining variables & data types
Handling missing values
Data transformation & recoding variables
Sorting, filtering, and merging datasets
Descriptive Statistics & Data Exploration
To summarize and comprehend data patterns, use SPSS.
Frequency distributions
Measures of central tendency (mean, median, mode)
Variability (range, variance, standard deviation)
Cross-tabulations & pivot tables
Data Visualization in SPSS
Make graphs and charts to display data insights in an understandable manner.
Bar charts, pie charts, histograms
Scatterplots & boxplots
Customizing graphs
Exporting charts for reports
Hypothesis Testing
Apply statistical tests to validate assumptions and hypotheses.
One-sample & two-sample t-tests
Paired sample t-tests
ANOVA (One-way & Two-way)
Non-parametric tests (Chi-square, Mann-Whitney, Kruskal-Wallis)
Correlation & Regression Analysis
Create predictive models by comprehending the connections between variables.
Pearson & Spearman correlation
Simple linear regression
Multiple regression analysis
Interpreting coefficients & model fit (R², Adjusted R²)
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Additional Program Highlights
Comprehensive study materials and resources
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Professional resume building session
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Master your interview skills
HD
Real-world project demonstrations
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Upcoming Batches
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Who Should Take SPSS Certification Training
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Job Roles For SPSS Certification Training
Key Projects
SPSS Certification Training
Shionogi – Clinical Data Precision Hub
Scenario: Implemented Base SAS and Advanced analytics to process clinical trial datasets validate study variables ensure regulatory compliance and enhance reporting accuracy
Live Work:
- Managed clinical raw datasets
- Built SAS validation programs
- Generated regulatory outputs
Outcome: Improved trial reporting accuracy
Pegasus Airlines – Passenger Insight Engine
Scenario: Utilized SAS analytics to examine booking behavior travel frequency and campaign response data to strengthen passenger segmentation and revenue planning
Live Work:
- Created booking trend models
- Segmented loyalty customers
- Built campaign response stats
Outcome: Boosted targeted campaign ROI
American Honda Motor Company – Warranty Risk Analytics Lab
Scenario: Applied Base SAS and predictive models to evaluate warranty claims detect anomalies assess cost drivers and support quality improvement initiatives
Live Work:
- Processed warranty datasets
- Ran anomaly detection code
- Built cost impact reports
Outcome: Reduced fraudulent claim losses
Accenture – Enterprise Modeling Studio
Scenario: Delivered SAS based analytics solutions for enterprise clients transforming operational data into predictive insights and automated reporting systems
Live Work:
- Developed client SAS macros
- Designed predictive models
- Automated executive reports
Outcome: Enhanced data driven decisions
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
Latest Hiring
No hiring posts
Recently Placed Candidates
No placements available
Latest Hiring
No hiring posts
Our Success Mantra
Commitment
- Ensuring quality training every day
Fulfillment
- Meeting learning goals with confidence
Accomplishment
- Students achieving industry-ready expertise
Our Learner Voice
Beyond Courses:
Additional Support We Provide
24/7 Support
LinkedIn Profile
Resume Writing
Alumni Sessions
Interview Preparation
Live Projects
What Makes TechPratham Training Different?
Feature
TechPratham Advantage
Industry Standard Institutes
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.
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.
Do I need a statistics background to learn SPSS?
Who should take this training?
Do I need prior knowledge of statistics before joining?
What are the prerequisites for this course?
What skills will I gain after completing the training?
What career opportunities are available after SPSS certification?
Industry-Recognized Certification
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