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.
Level
Advanced
Duration
8 Weeks



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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.
Working professional who is carrying more then 10 years of industry experience.
Access to updated presentation decks shared during live training sessions.
E-book provided by TechPratham. All rights reserved.
Module-wise assignments and MCQs provided for practice.
Daily Session would be recorded and shared to the candidate.
Live projects will be provided for hands-on practice.
Expert-guided resume building with industry-focused content support.
Comprehensive interview preparation with real-time scenario practice.
Introduction to SPSS
Learn the basics of SPSS and its applications in analytics.
Data Management & Preparation
Learn how to prepare datasets for precise analysis by organizing, cleaning, and preparing them.
Descriptive Statistics & Data Exploration
To summarize and comprehend data patterns, use SPSS.
Data Visualization in SPSS
Make graphs and charts to display data insights in an understandable manner.
Hypothesis Testing
Apply statistical tests to validate assumptions and hypotheses.
Correlation & Regression Analysis
Create predictive models by comprehending the connections between variables.
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Scenario: Implemented Base SAS and Advanced analytics to process clinical trial datasets validate study variables ensure regulatory compliance and enhance reporting accuracy
Scenario: Utilized SAS analytics to examine booking behavior travel frequency and campaign response data to strengthen passenger segmentation and revenue planning
Scenario: Applied Base SAS and predictive models to evaluate warranty claims detect anomalies assess cost drivers and support quality improvement initiatives
Scenario: Delivered SAS based analytics solutions for enterprise clients transforming operational data into predictive insights and automated reporting systems

Additional Support We Provide
24/7 Support
LinkedIn Profile
Resume Writing
Alumni Sessions
Interview Preparation
Live Projects
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