About Course
SPSS (Social Packages for Social Sciences) is the statistical software by IBM. It is having a wide range of statistical analysis which is required to be done for research work. It can handle complex survey data very efficiently and then can be used for analysis purposes.
Looking at the applicability of the SPSS in the Research area, Stat Modeller comes up with the Certificate Course on SPSS specially designed for Faculties, Researchers and Students.
All our videos are recordings of our live training. We have intentionally kept discussions with participants in the videos to give you a feeling of the live training session.
Benefits
- Suitable for Everyone
- Experienced faculty
- Hands-on experience
- Email support after training
- E-Certificate
Download Trial Version of SPSS
What Will You Learn?
- Scale of Measurements
- Qualitative Scale
- Quantitative Scale
- Basic Statistics
- Measurement of Central Tendency
- Measurement of Dispersion
- Introduction to SPSS
- Data View
- Variable View
- Creating Database
- Importing Database
- Univariate Analysis
- Bivariate Analysis
- Importance of Data Visualization
- Data Visualization Techniques
- Bar Chart
- Cluster Bar Chart
- Histogram
- Box Plot
- Pie Chart
- Scatter Plot
- One Sample t-test
- Two Sample t-test
- Paired t-test
- Chi-Square test
- ANOVA
- Simple Linear Regression
- Multiple Linear Regression
Course Content
Welcome to the Course
This is welcome message by instructor and guideline for how to access the material.
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Welcome to the Course and Resources!!!
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Stat Modeller Story
00:00 -
Course Content
00:00
Understanding Summary Statistics
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Introduction to Statistics Part 1
03:51 -
Introduction to Statistics Part 2
05:00 -
Introduction to Statistics Part 3
03:56 -
Scale of Measurement Part 1
06:14 -
Scale of Measurement Part 2
07:37 -
Why Scale is Important
02:15 -
Various Analysis for Different Scales
02:11 -
Q and A
04:15 -
Descriptive Statistics – Central Tendency
18:50 -
Descriptive Statistics – Measures of Variation – Range
03:48 -
Descriptive Statistics – Measures of Variation – Variance and SD
10:07 -
Descriptive Statistics – Measures of Variation – CV
06:42 -
Descriptive Statistics Conclusion
01:43
Introduction to SPSS
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Recap
03:42 -
Introduction to SPSS
11:38 -
Create First File in SPSS – Part 1
04:08 -
Create First File in SPSS – Part 2
24:08
Basic Analysis using SPSS
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Analysis to be Performed
05:54 -
Univariate Frequency Analysis
08:50 -
Formatting of Chart
02:36 -
Bivariate Frequency Analysis
05:50 -
Descriptive Statistics
06:05 -
Use of Split File Option
07:13 -
Use of Select Cases
06:10 -
Compute Variable
04:55
Data Visualization
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Recap
02:31 -
Importance of Data Visualization Part 1
09:54 -
Importance of Data Visualization Part 2
07:46 -
Types of Charts – Part 1
16:22 -
Types of Charts – Part 2
11:55 -
Histogram Understanding
06:23 -
Interpretation of histogram
00:34 -
Boxplot Understanding
06:13 -
Histogram vs Boxplot
04:12 -
Case study Understanding
03:17 -
Bar Chart using SPSS
11:16 -
Pie Chart and Cluster Bar Chart using SPSS
12:36 -
Preparing Histogram and Boxplot
14:22
Hypothesis Testing
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Introduction of Hypothesis
08:14 -
Sample and population
09:35 -
Normal Distribution
02:30 -
Important Points of Normal Distribution
01:23 -
Rejection and Acceptance Region
03:56 -
Interpretation Hypothesis Test Example
02:50 -
Types of Error Part 1
05:35 -
Types of Error Part 2
02:59 -
Types of Error Part 3
03:23 -
P-Value understanding
05:47 -
Recap of Hypothesis Testing
03:45 -
Types of test Part 1
06:16 -
Types of test Part 2
10:28 -
Chi Square test
02:22 -
Case Study in SPSS
04:50 -
Formation of Hypothesis
06:22 -
Interpretation of Hypothesis Test Output
03:38 -
Export Analysis Output
05:50 -
Recap
04:08 -
Testing for Mean
00:23 -
One Sample t-test
02:49 -
t-test Case Study explanation
03:18 -
Normality Test
10:02 -
Run test
04:16 -
Performing One sample t-test in SPSS
02:06 -
Interpretation of One sample t-test
03:09 -
Two Sample (Independent) t-test
02:56 -
Independent sample t test manual example
09:25 -
Independent Sample t-test case study with assumption
09:49 -
Performing Independent sample t test in SPSS
03:26 -
Interpretation of Independent sample t test
03:08 -
Paired sample t-test
02:25 -
Paired sample t-test Case study
03:24 -
Performing Paired Sample t-test case study in SPSS
02:20 -
Interpretation of Paired t-test
04:43 -
ANOVA test
01:44 -
ANOVA Case study
10:25 -
ANOVA test interpretation
08:12 -
Project case study
00:45
Regression Analysis
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Recap
10:54 -
Understanding Regression Analysis
00:51 -
Types of Regression Analysis
11:22 -
Assumption of Regression Analysis
01:28 -
Simple Linear Regression
00:50 -
Steps to perform Simple Linear Regression
00:59 -
Benefits of Regression Analysis
01:06 -
Multiple Linear Regression
01:04 -
Assumption of Multiple Linear Regression Part 1
09:02 -
Assumption of Multiple Linear Regression Part 2
04:25 -
Performing Regression Analysis in SPSS
07:02 -
Interpretation of Simple Linear Regression
10:23 -
Durbin Watson Test
03:10 -
Model ANOVA
08:42 -
Multiple Linear Regression
06:31 -
Multiple Linear Regression Interpretation Part 1
07:18 -
Multiple Linear Regression Interpretation Part 2
06:44