Regression Analysis for Statistics & Machine Learning in R

🚀 Course Headline: Dive Deep into Regression Analysis for Practical Statistical Modelling and Machine Learning in R

🧐 Why This Course?             With so many R Statistics & Machine Learning courses available, why should you choose this one?

👩‍🏫 About Your Instructor Minerva Singh An Oxford University MPhil (Geography and Environment) graduate and a recent PhD from Cambridge University (Tropical Ecology and Conservation), Minerva Singh brings years of experience in data science to the classroom. Her extensive research and publication record with international peer-reviewed journals, including PLOS One, have established her as an expert in regression modelling using real-world data.

📈 Course Overview Become a Regression Analysis Expert and Harness the Power of R for Your Analysis This course is structured to take you on a journey from the basics to mastery in regression analysis using R. Here's what you'll learn:

• Get comfortable with R and RStudio, learning to handle data packages and datasets.
• Master data cleaning and visualization within R.
• Implement Ordinary Least Squares (OLS) regression and interpret the results.
• Address issues like multicollinearity using both variable selection and regularization techniques such as ridge regression.
• Utilize statistical and machine learning methods for model selection, including cross-validation.
• Evaluate regression model accuracy and implement Generalized Linear Models (GLMs) like logistic regression and Poisson regression.
• Explore non-linear and non-parametric data with Generalized Additive Models (GAMs).
• Work with tree-based machine learning models.
• Apply machine learning methods such as random forest regression and gradient boosting machine regression to enhance prediction accuracy.
• Make informed decisions on the best regression analysis techniques for your research questions and data.

💡 Course Benefits Become a Regression Analysis Pro and Apply Your Knowledge on Real-Life Data This course is your gateway to acquiring advanced regression analysis skills that Minerva Singh honed over her academic journey at two of the world's leading universities. It will:

• Elevate students with a basic level of statistical knowledge to perform sophisticated regression analysis techniques.
• Equip you with practical R skills for data analysis and visualization tasks.
• Introduce you to critical statistical and machine learning concepts in a way that fosters practical application and data interpretation.
• Provide a solid background in key statistical and machine learning concepts for regression analysis.
• Enable students to determine the most suitable regression techniques for their research queries and apply these skills to real datasets.

👩‍🔬 Hands-On Learning Experience TAKE ACTION TODAY! This is a practical, hands-on course. While we will touch upon theoretical aspects of regression analysis, the focus will be on implementing these techniques in real scenarios. After each instructional video, you'll apply new concepts and methods to your projects, ensuring that you gain valuable hands-on experience. Minerva Singh will personally support you throughout your learning journey to ensure your success in this course.

🎉 Enroll Now and Transform Your Data Analysis Skills!