Predictive Analytics & Modeling: R | Minitab | SPSS | SAS
Master predictive analytics and become a data expert with our all-inclusive course on R, Minitab, SPSS, and SAS!
4.85 (13 reviews)
1,143
students
50 hours
content
Jul 2024
last update
$19.99
regular price
What you will learn
Data Importing and Preparation: Learn how to import, clean, and prepare datasets in R, Minitab, SPSS, and SAS for predictive analysis.
Information Value (IV) Calculation: Understand how to calculate Information Value (IV) and use it to assess the predictive power of variables in R
Model Building and Optimization: Gain proficiency in building and optimizing logistic regression models, decision tree models, and other predictive models
Data Visualization: Master data visualization techniques using tools like ggplot2 in R and various plotting options in Minitab, SPSS, and SAS
Descriptive Statistics and Graphical Representations: Perform and interpret measures of dispersion, descriptive statistics, and create graphical presentations
Hypothesis Testing and ANOVA: Conduct hypothesis testing, ANOVA, and other statistical analyses to make informed decisions based on data.
Control Structures and Functions in R: Learn to write functions, use control structures, and implement loops in R programming for efficient data manipulation
Advanced Statistical Techniques: Apply advanced statistical techniques such as non-linear regression, logistic regression, and multivariate analysis
Predictive Modeling with SAS Enterprise Miner: Use SAS Enterprise Miner to build predictive models, select input data nodes, and perform variable selection
Hands-On Projects: Gain practical experience through hands-on projects, such as card purchase prediction in R, to reinforce learning and apply skills
6057591
udemy ID
7/4/2024
course created date
7/7/2024
course indexed date
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