Enroll Course: https://www.udemy.com/course/estadistica-descriptiva/
In the rapidly evolving world of data science, a strong foundation in statistics is paramount. For aspiring data scientists, analysts, or anyone looking to harness the power of data, understanding descriptive statistics is the first crucial step. I recently completed the ‘Curso completo de Estadística descriptiva – RStudio y Python’ on Udemy, taught by the excellent Juan Gabriel Gomila and María Santos, and I can confidently say it’s an exceptional resource for building this essential knowledge base.
This course is designed to mirror the introductory statistics curriculum taught to mathematics, engineering, and computer science undergraduates. It covers a vast array of topics, starting with the practicalities of setting up your environment with R, RStudio, and Anaconda Navigator for Python. The instructors don’t shy away from the basics, even including a refresher on functions, trigonometry, and combinatorics, making it incredibly accessible even if it’s been a while since your last math class.
What truly sets this course apart is its hands-on approach. You’ll learn to use both R and Python as powerful scientific calculators, and the introduction to functional programming in R is a fantastic stepping stone for further data analysis courses. The visual aspect of statistics is thoroughly explored, with detailed explanations and examples of various plots like scatter plots, histograms, pie charts, and box plots, all demonstrated in both R and Python using matplotlib.
The curriculum also delves into the core concepts of data types – qualitative, quantitative, and ordinal – and how to analyze each appropriately. A significant portion is dedicated to probability, starting from the absolute fundamentals and progressing to random variables and common probability distributions (both discrete and continuous). You’ll gain a deep understanding of key statistical measures like mean, variance, skewness, and kurtosis, learning to calculate them efficiently in both R and Python.
One of the standout features is the inclusion of a GitHub repository containing all the course materials. This means you have immediate access to the scripts used in class, allowing you to follow along and experiment with the code from the very beginning. Furthermore, the course is strategically positioned to prepare you for more advanced topics. As the instructors mention, this course addresses the common knowledge gaps encountered in their more advanced Machine Learning, Artificial Intelligence, and Data Science with Tidyverse courses, ensuring you have the necessary foundation for success in those areas.
Whether you’re a complete beginner or looking to solidify your understanding, this course provides a robust and practical education in descriptive statistics. The instructors’ clear explanations, comprehensive coverage, and the dual-language approach (R and Python) make it an invaluable investment for anyone serious about data.
**Recommendation:** I highly recommend the ‘Curso completo de Estadística descriptiva – RStudio y Python’ to anyone embarking on their data science journey. It’s a comprehensive, well-structured, and engaging course that will equip you with the fundamental statistical knowledge needed to excel in the field.
Enroll Course: https://www.udemy.com/course/estadistica-descriptiva/