Statistical Concepts in R Online Course

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This course "Statistical Concepts in R" provides learners with essential statistical knowledge and practical applications using R programming. The curriculum introduces students to foundational statistical concepts, enabling them to understand data distributions, central tendencies, and variability. Learners will explore simple linear regression, gaining insights into predicting relationships between variables. The course progresses to linear regression analysis, emphasizing model accuracy, assumptions, and validation techniques. Students then advance to multiple linear regression, allowing them to handle multiple predictors and improve predictive performance. Non-linear regression is covered to analyze complex patterns and relationships beyond linear assumptions. Throughout the course, learners will practice coding in R, using real-world datasets for hands-on experience. By the end, students will be able to perform comprehensive statistical analyses, interpret results confidently, and apply regression models in research or professional projects. This course is ideal for anyone seeking to combine statistical knowledge with R programming proficiency.

Learning Outcomes:

1. Understand foundational statistical concepts clearly using R programming environment.
2. Perform simple linear regression to model relationships between variables.
3. Analyze linear regression results for accurate predictions and insights.
4. Implement multiple linear regression using several predictors effectively in R.
5. Apply non-linear regression models for complex data pattern analysis.
6. Interpret statistical results confidently and communicate findings professionally.

Course Link: Statistical Concepts in R

Course Curriculum:

• Module 01: Introduction to the Course
• Module 02: Simple Linear Regression
• Module 03: Linear Regression Analysis
• Module 04: Multiple Linear Regression
• Module 05: Non-linear Regression

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Disclaimer:

This is an online course with pre-recorded lessons. You will get access to the course within 48 hours after your enrolment.