Mastering R Programming and Machine Learning
Specialization | 36 Course Series | 25 Mock Tests

The R Programming and Machine Learning Mastery course is a comprehensive, hands-on learning journey designed to transform beginners and intermediate learners into proficient data analysts and machine learning practitioners using R. It covers foundational programming concepts and advanced predictive modeling, providing a practical, immersive experience in data science.

Starting with the basics of R, RStudio, and essential programming workflows, you will quickly progress to core supervised learning techniques, including decision trees, linear regression, logistic regression, and support vector machines. Each concept is reinforced through real-world projects, including churn prediction, fraud analytics, and marketing analytics, ensuring that you build practical, job-ready skills.

As you progress, the course delves into specialized areas such as time-series forecasting, customer segmentation, advanced financial analytics, and quantitative modeling. This gives you the versatility to apply R across domains such as business, finance, marketing, and risk analytics.

The program culminates in hands-on capstone projects and practical challenges, ranging from fraud detection to market basket analysis, allowing you to demonstrate your expertise and build a strong data science portfolio. Mock tests and quizzes at the end help strengthen your learning and get you ready for real-world use.

By the end of the course, you will have the skills and confidence to analyze complex datasets, build predictive models, perform advanced analytics, and extract actionable insights using R. Whether you are starting your data science journey or upskilling for advanced analytical roles, this course equips you with the complete toolkit needed to excel in R programming and machine learning.

• Basic understanding of math and statistics (helpful but not required)

• No prior programming experience needed

• Familiarity with using a computer and spreadsheets

• Willingness to learn and work with real datasets.

• Beginners and intermediate learners wanting to master R programming

• Data analysts, business analysts, and aspiring data scientists

• Students and researchers working with statistical or predictive modeling

• Professionals in finance, marketing, and operations seeking data-driven insights

• Machine learning enthusiasts looking to build real-world project experience

• Anyone aiming to apply R for analytics, forecasting, or decision-making.