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CoursesData Analytics And Bi Training
SPSS Certification Training
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

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About SPSS Certification Training

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.

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)

Data Analytics And Bi Training Courses

No related courses found

Additional Program Highlights

Learning Materials
Resume Writing
Interview Preparation
Interview Preparation

Upcoming Batches

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Who Should Take SPSS Certification Training

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Job Roles For SPSS Certification Training

Key Projects

SPSS Certification Training

Shionogi

ShionogiClinical 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

Pegasus AirlinesPassenger 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

American Honda Motor CompanyWarranty 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

AccentureEnterprise 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

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Our Success Mantra

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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

Our Learner Voice

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

Do I need a statistics background to learn SPSS?

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Industry-Recognized Certification

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