Course Information
Course Overview
Master R, Data Science and Machine Learning
Master Data Science & Machine Learning in R: From Beginner to Pro
Unlock the power of R to analyze data, build predictive models, and create stunning visualizations—all in one comprehensive course.
Why This Course?
In today’s data-driven world, R remains the gold standard for statistical analysis and high-level data science. Whether you are a complete beginner looking to break into the field or a seasoned pro wanting to optimize your workflow, this course is designed to take you from "Hello World" to building scalable Machine Learning pipelines.
What You Will Master:
Foundations & R-Environment: Seamlessly set up R and RStudio and master the core logic of atomic objects, vectors, factors, and data frames.
The Magic of Data Wrangling: Learn the professional way to import, clean, and export data, ensuring your datasets are always "analysis-ready."
Expert Data Visualization: Stop making basic charts. Learn to create professional-grade visuals that tell a story to stakeholders and colleagues.
Machine Learning & Statistics: Move beyond the basics. Implement data quality checks and deploy Machine Learning models directly within R.
Advanced Engineering: (For the Pros) Dive into parallel processing, code optimization, and structuring full-scale Data Science projects for maximum efficiency.
The Art of Debugging: Master the difference between syntax and semantic errors so you can spend less time fixing code and more time finding insights.
Is This Course For You?
The Newcomer: No prior coding experience? No problem. We start from the absolute basics of installation and logic.
The Professional: Already using R? We’ll level up your skills with advanced topics like parallel computing and performance optimization.
The Aspiring Data Scientist: If you want a portfolio of work that proves you can handle real-world data challenges, this is your roadmap.
Course Content
- 11 section(s)
- 89 lecture(s)
- Section 1 Basics
- Section 2 Data
- Section 3 Visualization - ggplot2
- Section 4 Functions and Control Structures
- Section 5 Apply Function and Code Optimization
- Section 6 Debugging and Error Handling
- Section 7 Machine Learning and Artificial Intelligence (AI)
- Section 8 Dates
- Section 9 Natural Language Processing (NLP) & Regular Expression (RegEx)
- Section 10 Full Data Science & Machine Learning Praxis Project
- Section 11 RMarkdown & Congratulations
What You’ll Learn
- Together we will install R and RStudio on Windows., The learner will be able to write R code., The learner will understand Machine Learning, Data Visualization and Data Science in R / RStudio., The learner will work and understand data types in R like vector, data frame, list or factor., The learner will use the Debugger and get hands on experience by working on a real project., The learner will understand Regular Expressions in R.