Postgraduate Certificate in Predictive Modelling using R
-- viewing nowThe Postgraduate Certificate in Predictive Modelling using R is a comprehensive course that equips learners with essential skills in predictive analytics. This certification program focuses on data analysis, predictive modeling, and business intelligence using R, a powerful statistical computing language.
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Course Details
• Introduction to Predictive Modelling: Fundamentals of predictive modelling, types of predictive models, and their applications.
• R Programming Basics: Overview of R programming language, data types, variables, functions, and packages.
• Data Exploration and Preprocessing: Data cleaning, transformation, visualization, and feature engineering using R packages.
• Regression Analysis with R: Simple and multiple linear regression, polynomial regression, and logistic regression using R.
• Time Series Analysis using R: ARIMA, exponential smoothing, and decomposition models in R.
• Machine Learning Algorithms: Decision trees, random forests, k-nearest neighbors, and support vector machines in R.
• Deep Learning with R: Neural networks, convolutional neural networks, and recurrent neural networks using R.
• Evaluation Metrics: Performance evaluation metrics for regression, classification, and time series models.
• Model Deployment and Maintenance: Deploying predictive models in production environments, monitoring model performance, and updating models with new data.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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