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CoursesData Analytics And Bi TrainingSPSS 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

What is 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

About trainer

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

Decks

The candidate will get access to the presentation taken-up during the session.

Notes

Consolidated notes in word document.

Assignments

Assignments for every module will be covered.

MCQs

MCQs for every module covered in the session would be provided.

Video Recording

Daily Session would be recorded and shared to the candidate.

Dumps for Certification

We will provide dumps for the certification exam, which will help you to prepare for the exam.

Updated Content

We provide Generative AI Driven content By experts.

Projects

3 Live Projects will be provided for practice.

SPSS Certification Training Course Curriculum
.

Introduction to SPSS
Section 1

Learn the basics of SPSS and its applications in analytics.
Interface overview
Data types & formats
Variable creation
Import/export data
.

Data Management & Preparation
Section 2

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
Section 3

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
Section 4

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
Section 5

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
Section 6

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)
.

Advanced Statistical Techniques
Section 7

Investigate multivariate techniques to gain a deeper understanding of data.
Factor Analysis (Exploratory & Confirmatory)
Cluster Analysis (K-means, Hierarchical)
Discriminant Analysis
Reliability analysis (Cronbach’s Alpha)
.

Working with Surveys & Social Science Data
Section 8

Develop your ability to evaluate survey data and decipher findings.
Questionnaire design & data coding
Likert scale analysis
Descriptive vs inferential survey analysis
Reporting survey results
.

Reporting & Interpretation
Section 9

Effectively communicate statistical findings for use in research, business, or academia.
Exporting SPSS output to Word/Excel/PDF
Writing interpretation notes
Creating APA-style tables
Data storytelling with SPSS results
.

Capstone Project & Case Studies
Section 10

Utilize your SPSS expertise to analyze a real-world dataset and report your results.
Business case study (sales, marketing, operations data)
Academic research dataset analysis
End-to-end project: data cleaning → analysis → visualization → reporting
Key Projects
SPSS Certification Training
Market Research Data Analysis
Use SPSS to look at the results of customer surveys to find out what customers like and how happy they are. The project includes cleaning data, cross-tabulating it, and testing hypotheses, which helps make better marketing choices.
Employee Attrition Study
Use HR data to look into what causes employees to leave. Use chi-square tests and logistic regression to find patterns and suggest ways to keep people.
Healthcare Data Analysis
Use healthcare datasets to look at patient demographics, treatment outcomes, and trends. Utilize descriptive statistics, correlation, and regression models to extract actionable insights for healthcare enhancement.

SPSS Certification Training – Associate Training Program

Category
Associate
Exam Name:
SPSS Certification Training – Associate
Exam Code:
N.A.
Exam Duration:
N.A.
Exam Format:
N.A.
Passing Score:
N.A.
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Frequently Asked Questions (FAQs)

Do I need a statistics background to learn SPSS?

No, you don't have to know a lot about statistics, but it helps. The course starts with basic ideas and then moves on to more advanced statistical methods, so it is good for both beginners and experts.

Who should take this training?

Healthcare, psychology, and social science students and researchers Market researchers and business analysts Data analysts seeking to improve their proficiency in statistical analysis Professionals engaged in academic research or survey data

Do I need prior knowledge of statistics before joining?

While not required, a basic understanding of statistics is beneficial. The majority of certification courses begin with the basics and progress to more complex analysis.

What are the prerequisites for this course?

rudimentary computer skills Interest in analytics, data, or research Knowledge of Excel or comparable software is beneficial but not necessary.

What skills will I gain after completing the training?

Entering, cleaning, and preparing data in SPSS Performing hypothesis testing and descriptive statistics Executing regression, correlation, and sophisticated multivariate analysis Making expert reports, graphs, and charts Using SPSS methods in surveys and case studies from the real world

What career opportunities are available after SPSS certification?

Data analyst, market research analyst, academic researcher (PhD, MPhil, etc.), research associate, or research scientist Data Specialist in Social Science or Healthcare

Is SPSS still relevant with tools like Python, R, and Power BI?

Indeed. Because of its robust statistical features and ease of use, SPSS continues to be widely used in academic, social science, psychology, and healthcare research, despite the popularity of Python and R.

How long is the training?

Usually 4–8 weeks, depending on whether you're working full-time or part-time. Additionally, some institutions provide fast-track or weekend batches.

Will I get a certificate after completing the training?

Indeed. A completion certificate is offered by the institutes. For international recognition, some programs also comply with IBM SPSS's official certification.

Do institutes provide placement assistance?

Career counseling, resume writing, and placement assistance are all offered by many training providers. But this differs from institute to institute.

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