edX
edXData Science
68k studentsBEGINNEREnglish
Korshub's take
Data science as practiced today is grounded in R and reproducible research. This course equips you with both the statistical thinking and the computational tools professionals use to extract meaning from data.
Practical skills include:
- R programming fundamentals for data work
- Statistical inference, probability, and modeling
- Tidyverse ecosystem: ggplot2 visualization, dplyr data wrangling
- Essential tools: Unix/Linux, git, GitHub, RStudio
- Machine learning algorithms and real-world case studies
For aspiring data scientists and analysts transitioning from statistics or programming into applied data science practice.
About this course
Fundamental R programming skills ,Statistical concepts such as probability, inference, and modeling and how to apply them in practice ,Gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr ,Become familiar with essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio ,Implement machine learning algorithms ,In-depth knowledge of fundamental data science concepts through motivating real-world case studies
Price
$1,481
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