SPSS – Workshop
Statistical Analysis
Statistical analysis is a powerful tool used to explore, summarize, and draw
meaningful conclusions from data. It enables us to uncover patterns,
relationships, and trends, and to make inferences and predictions with
confidence.
The lectures are conducted by our experienced members who are
experts in Statistical Analysis - SPSS
Lectures of Statistical Analysis
Lecture_10 (Data analysis using SPSS):
https://vimeo.com/manage/videos/782838144/transcript?ts=5087200
SPSS practice session: https://vimeo.com/manage/videos/784102202/transcript?ts=149300
Password: BioIconRI02
Through the lectures you will learn about
Introduction to Statistical Analysis

Basic concepts and principles of statistics

Types of data: categorical and continuous variables

Data distributions and normality

Sampling techniques and sampling error
Introduction to SPSS

Overview of SPSS software and its features

Data entry and management in SPSS

Importing data from different file formats

Data cleaning and manipulation techniques
Data Analysis with SPSS

Conducting descriptive statistics using SPSS
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Performing t-tests and ANOVA for group comparisons
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Chi-square test for categorical data analysis
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Correlation analysis and regression models

Introduction to multivariate analysis techniques
Practical Application and Case Studies

Applying statistical analysis techniques to real-world datasets
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Analyzing and interpreting results using SPSS
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Case studies and examples from different fields

Best practices for data analysis and reporting

Troubleshooting common issues in statistical analysis
Our “SPSS – Workshop” provides a solid foundation in
data analysis. By the end you will be equipped with the
skills and knowledge necessary to analyze data using SPSS.
Look into our other programs:
Registration process:
For registration, you have to pay the training fee. After
completing payment, participant is required to fill-up a form with
basic information.
The Form:
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Payment Method: Pay training fee as send money to 01719020958
(bKash) & you can also pay fees in cash by visiting our office.
To Book your seat in advance with 25% of the fee, Fill this Form:
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For details please contact us
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