Marko Intihar, PhD Courses
Data Visualization with R and ggplot2
4.4 (283 Reviews)
Provider: Udemy
Time: 20.7h- 2024
$10.99
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Most Recent Review
Formation dispensée en anglais par un professeur patient, dont la maîtrise du sujet a été irréprochable du début à la fin. Le contenu est d’une qualité remarquable pour toute personne souhaitant apprendre R, en particulier les Tidyverse, dplyr et l’utilisation des pipes. Cette formation m’a également permis de progresser sur des aspects essentiels : - la construction et l’utilisation des fonctions en R, - la réalisation de graphes avec ggplot2, -l’analyse de données avec R. Le projet Covid‑19, exigeant et structuré, couvre les notions de R depuis les bases jusqu’aux concepts avancés, ce qui en fait un excellent fil conducteur pédagogique. Je recommande vivement cette formation : le temps et l’énergie investis sont largement récompensés. Elie YODI 26 Juillet 2026
- Review by Elie YODI on Data science with R: tidyverse
Instructor Bio
Hi, I am Marko Intihar. I hold a Ph.D. in Logistics from the University of Maribor, where I began my professional journey as a researcher and teaching assistant, focusing on statistics, data analysis, and operations research. During my academic years, I also published several scientific papers in the area of time series modeling.
Curious to see theory in action, I transitioned into the industry, first in the retail sector, where I worked as a data scientist for a major retail company. This experience allowed me to apply machine learning and data mining techniques to real-world, large-scale datasets.
For over six years, I have worked as a data scientist in the banking industry, spanning two major banks. Financial data presents its unique challenges and opportunities, and this environment has deepened my skills in areas such as predictive modeling, advanced data analysis, and business intelligence.
What ties everything together is my passion for teaching. I create courses that help learners master the tools, techniques, and concepts of modern data science. Whether you are learning statistics, exploring machine learning, or diving into data analysis with tools like R or Python, my goal is to make complex topics accessible and practical.
If you are eager to build a strong foundation in data science and apply it to real-world problems, you are in the right place.
"Together, let’s give more meaning to the world by turning real data into real insight."



