Enroll Course: https://www.udemy.com/course/estadistica-descriptiva/
In the ever-evolving field of data science, having a solid foundation in descriptive statistics is crucial. That’s where the course “Curso completo de Estadística descriptiva – RStudio y Python” comes into play. Offered on Udemy and taught by the knowledgeable instructors Juan Gabriel Gomila and María Santos, this course is designed to equip you with the essential skills needed to thrive in the world of data analysis.
### Course Overview
This course dives deep into descriptive statistics, covering everything from the basics of R and Python to advanced statistical concepts. The instructors start by guiding you through the installation of R, RStudio, and Anaconda Navigator for Python, ensuring that you have all the tools you need for your learning journey.
One of the standout features of this course is its practical approach. You will learn to use R and Python as scientific calculators, which includes a review of functions, trigonometry, and combinatorics. This foundational knowledge is vital as you progress into functional programming with R, making it an ideal stepping stone for future data analysis courses.
### Data Visualization
Data visualization is a key aspect of data analysis, and this course does not disappoint. You will explore various graphical representations of statistical data, including scatter plots, histograms, pie charts, and box plots. The instructors provide examples in both R and Python’s matplotlib, allowing you to grasp these concepts in a hands-on manner.
### Introduction to Machine Learning
As an added bonus, the course introduces you to basic machine learning techniques, notably linear regression. This section will provide you with insights into how statistical analysis feeds into machine learning, preparing you for more advanced topics in the future.
### Comprehensive Statistical Analysis
The course also covers qualitative, quantitative, and ordinal data types, teaching you how to analyze each correctly. You will gain a fundamental understanding of probability, starting from the basics and progressing to random variables and well-known probability distributions. Additionally, you will learn how to compute essential statistics such as mean, variance, skewness, and kurtosis using both R and Python.
### Resources and Support
A significant advantage of this course is the inclusion of a GitHub repository containing all course materials. This allows you to access the scripts used in class right from the start, enhancing your learning experience.
### Conclusion
Upon completing the course, you will be well-prepared to tackle more advanced data science courses offered by Juan Gabriel Gomila, including Machine Learning and Artificial Intelligence with Python or RStudio, as well as Data Science with Tidyverse and RStudio. This course effectively addresses the foundational gaps that many students face in higher-level courses, ensuring you can approach these subjects with confidence.
If you’re looking to build a robust understanding of descriptive statistics and enhance your data science skills, I highly recommend enrolling in “Curso completo de Estadística descriptiva – RStudio y Python”. It’s a valuable resource for anyone serious about pursuing a career in data science.
Enroll Course: https://www.udemy.com/course/estadistica-descriptiva/