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R for Data Scientists

  • Number of Courses8 courses
  • Duration7 hours
  • Skill IQ available Skill IQ

The R for Data Scientists learning path provides a comprehensive toolkit for statistical modeling, machine learning, and data visualization. Learners will explore Bayesian inference, time series analysis, causal inference, and supervised/unsupervised learning using R. The path covers key packages like tidyverse, brms, forecast, caret, and tidymodels, enabling data scientists to analyze, model, and effectively communicate insights with robust, reproducible workflows.

Courses in this path

R for Data Scientists

Start your R for Data Science by watching the following courses.

Bayesian Statistics and Probabilistic Programming in R

  • by Gail Shaw
  • 31m 17s Duration

Time Series Analysis and Forecasting in R

  • by Ana Voicu
  • 1h 38m 40s Duration

Experimental Design and Causal Inference in R

  • by Goran Trajkovski
  • 31m 38s Duration

Advanced Data Visualization Techniques in R

  • by Joan Bajorek
  • 31m 13s Duration

Statistical Modeling and Hypothesis Testing in R

  • by Janani Ravi
  • 1h 34m 31s Duration

Supervised Machine Learning with R

  • by Janani Ravi
  • 1h 30m 42s Duration

Feature Engineering and Dimensionality Reduction in R

  • by Biswanath Halder
  • 35m 9s Duration

Model Validation and Hyperparameter Tuning in R

  • by Brian Letort
  • 29m 12s Duration

Learn with the best

Gail Shaw
Gail Shaw
Gail is a Database Specialist focusing on database performance tuning and database recovery, with a particular interest in topics such as indexing strategies, execution plans, and writing T-SQL code that performs well and scales gracefully. Gail holds a Microsoft Certified Master certification for SQL Server 2008 and is a Data Platform MVP. She is a frequent poster on the SQL Server Central forums, writes articles for both SQLServerCentral.com and Simple-Talk.com, and has spoken at SQL Saturday... more
Ana Voicu
Ana Voicu
Ana Voicu is a seasoned data engineer with a deep passion for databases, business intelligence, and data science. She specializes in developing enterprise-level Business Intelligence solutions across diverse industries, focusing on performance optimization, pattern recognition, efficient business process analysis, and interactive visualizations. Ana thrives on tackling database performance challenges, particularly those involving high data volume applications. Beyond her technical expertise, she... more
Goran Trajkovski
Goran Trajkovski
Dr. Goran Trajkovski has over 30 years of experience in AI, data science, and learning design, focusing on learner-centered strategies and organizational change. He has developed 35+ academic programs and 350+ courses, established an NSF-funded robotics lab, and contributed to university start-ups and microcredential initiatives. A Fulbright scholar, he has worked across education and industry, integrating AI into learning and supporting data-driven decision-making. He has held leadership roles ... more
Joan Bajorek
Joan Bajorek
Dr. Joan Palmiter Bajorek is an AI Builder, Bestselling Author, and Entrepreneur. She hosts the "Your AI Roadmap" podcast, with AI builders from Google, Microsoft, Adobe, Amazon, and more. Her debut book with Wiley is "Your AI Roadmap: Future-Proof Your Career and Income” was an instant Amazon Bestseller and recently featured in Forbes. With 10+ years of technical experience in data and AI development for Fortune 500 clients, she has held senior roles at OneReach.ai, Nuance (acquired for $16B), ... more
Janani Ravi
Janani Ravi
Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework. After spending years working in tech in the Bay Area, New York, and Singapore at companies such as Microsoft, Google, and Flipkart, Janani finally decided to combine her love for technology with her passion for teaching. She is now the co-founder of Loonycorn, a content studio focused on providing ... more
Biswanath Halder
Biswanath Halder
Biswanath is a Data Scientist who has around nine years of working experience in companies like Oracle, Microsoft, and Adobe. He has extensive knowledge of Machine Learning, Deep Learning, and Reinforcement Learning. He specializes in applying Machine Learning and Deep Learning techniques in complex business applications related to computer vision and natural language processing. He is also a freelance educator and teaches Statistics, Mathematics, and Machine Learning. He holds a Master's degre... more
Brian Letort
Brian Letort
Dr. Daniel “Brian” Letort is a 24+ year veteran of Information Technology. During a 21-year tenure at Northrop Grumman, Brian held various roles across software engineering, systems engineering, Chief Applications Architect, Technical Fellow & Chief Data Scientist, and NG Fellow & Chief Enterprise Architect. In 2022, Brian joined Digital Realty as the Chief Architect - Product and Artificial Intelligence and now serves as the Head of the Corporate Data Office and Platform AI. Aside from work... more

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