What you'll get
- 3+ Hours
- 1 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Apply predictive analytics tools to solve real-world business problems
- Build and understand predictive models, including regression and clustering
- Interpret and leverage model outputs for decision-making
- Analyze historical data to forecast future trends and behavior
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Project on Term Deposit Prediction using R | 3h 2m | ✔ | View Curriculum |
Description
This course provides a comprehensive introduction to predictive analytics and modeling using R, with a focus on applications in term deposit investments. You will learn how predictive modeling, a key part of predictive analytics, can be used to analyze past performance and forecast future outcomes. You will learn various predictive techniques, including regression, clustering, and other statistical and machine learning methods, through practical examples and exercises.
The course covers essential features of predictive analytics, including data analysis and manipulation, visualization, statistical modeling, and hypothesis testing. By the end of this course, you will be able to build, test, and validate predictive models to support real-world business decisions.
Requirements
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Basic knowledge of statistics and probability
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Familiarity with R programming and its environment
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Understanding of data analysis concepts
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Basic knowledge of spreadsheets or data manipulation tools
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Logical reasoning and problem-solving skills.
Target Audience
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Students or researchers interested in predictive analytics
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Beginners looking to learn predictive modeling using R
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Data science and analytics enthusiasts
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Business professionals who want to use data for better decision-making
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Marketing, finance, or operations teams exploring forecasting techniques
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Professionals aiming to upskill in statistical and machine learning methods.
