Enroll Course: https://www.udemy.com/course/estadistica-descriptiva/
If you’re looking to build a solid foundation in descriptive statistics and data analysis, the ‘Curso completo de Estadística descriptiva – RStudio y Python’ on Udemy is an excellent choice. Taught by experts Juan Gabriel Gomila and María Santos, this course offers a thorough introduction to the core concepts of descriptive statistics, programming, and data visualization, making it perfect for beginners and those looking to strengthen their fundamentals.
The course begins with the basics of installing and setting up R, RStudio, and Anaconda Navigator for Python, ensuring students are equipped with the necessary tools. It then progresses into using R and Python as scientific calculators, covering functions, trigonometry, and combinatorics, which are essential skills for data scientists.
One of the standout features is the focus on programming in R from scratch, including functional programming techniques, which are invaluable for advanced data analysis. Students also learn to create various statistical plots such as scatter plots, histograms, pie charts, and box plots, with practical examples in both R and Python’s matplotlib.
The course dives into initial machine learning concepts, like linear regression, providing learners with a glimpse into predictive modeling. It also emphasizes understanding different data types—qualitative, quantitative, and ordinal—and how to analyze them correctly.
Fundamental probability concepts are covered from the ground up, including probability distributions, expected statistics like mean, variance, skewness, and kurtosis, with calculations demonstrated in R and Python. All course materials are accessible via a GitHub repository, giving students scripts and resources to practice independently.
Once completed, students will have a robust foundation to pursue more advanced courses in Machine Learning, Data Science, and Artificial Intelligence taught by the same instructors. This course is especially recommended for students seeking to bridge gaps in their knowledge and build confidence before tackling more complex topics.
In summary, this course is an invaluable resource for aspiring data scientists looking to master descriptive statistics and data analysis tools in R and Python. Its comprehensive content, practical approach, and supportive materials make it a highly recommended investment for your data science journey.
Enroll Course: https://www.udemy.com/course/estadistica-descriptiva/