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Data Analysis and Machine Learning with SPSS
February 14 @ 10:00 am - February 16 @ 4:00 pmN50000
Data Analysis and Machine Learning with SPSS will expose you to both the data analysis and machine learning functionalities of IBM SPSS software. The Data Analysis aspect of this training will expose you to basic to complex exploratory data analytics, while the machine learning aspect will teach you how to use machine-learning algorithm to learn patterns in your dataset to solve the classification problems.
The training course curriculum is as follows:
Module 1: Introduction to SPSS Interface and Statistics
Data Preparation in SPSS: Data Cleaning and Manipulation
Exploratory Descriptive Analysis in SPSS
Module 2: Introduction to SPSS syntax Programming
Writing SPSS syntax programming
Using SPSS syntax programming for data preparation
Module 3: Practical Data Analysis: Inferential Statistics and Statistical Tests
Introduction to hypothesis testing
Types of hypotheses
Independent Sample t-test and Paired Sample t-test.
Chi-square test for testing association between attributes
Test on the comparison between two groups
One-way and Two-way ANOVA.
Module 4: Practical Data Analysis: Correlation and Regression Analysis
Simple Linear and Logistic Regression Model/Impact Analysis
Diagnostics of the regression model: the assumption of normality, confidence intervals, testing parameters, test for goodness of fit
Module 5: Data Visualization in SPSS
Basic to Complex Data Visualization in SPSS
Customizing Graphs in SPSS
Interpreting and Exporting SPSS graph
SPSS Data Visualization Hands-on Practical 5
Module 6: Machine Learning with SPSS
Introduction to Machine Learning
Deploying Machine Learning Algorithm to solve classification problems in SPSS.
COURSE FEE: N50,000
Friday 14th Feburary (10am)
Saturday 15th Feburary (10am)
Sunday 16th Feburary (1pm)
Course Fee Include:
– Course attendance and Certificate.
– SPSS Software Installation and other quality training resources.
– 1 Month Post Training Support.
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