Data science has become a discipline that has experienced significant growth in recent years.
By combining techniques from statistics, mathematics, programming, and artificial intelligence, this discipline aims to extract valuable knowledge and insights from large volumes of data.
Python, one of the most popular programming languages, is widely used by data scientists due to its versatility, simplicity, and the abundance of libraries and tools available for data analysis and visualization.
It is evident that data science is one of the most in-demand and highly paid fields in the technology world.
According to CodersLink, data scientists who master Python can earn an average salary of $45,064 MXN per month in Mexico. Additionally, if you have the opportunity to work for foreign companies, especially in the United States, the average salary for this role ranges between USD 125,000 and USD 150,000 per year, according to Kaggle.
These data highlight the value and importance of acquiring data science and Python skills.
Considering the growing demand for data science skills, we have found a free Introduction to Python for Data Science course that will allow you to take your first steps in this fascinating field.
The course is designed for those who wish to acquire fundamental knowledge to program in Python and use it as a tool to enhance their statistical analysis and data visualization. Although it is taught on Windows, the concepts and skills taught are applicable to Linux and Mac.
The instructor of the course is Rafa, an experienced data scientist whose career took off thanks to programming in Python. Rafa, formerly a mathematics student, now works in the field of data science and uses Python as his primary language.
In his first job as a data analyst in a digital marketing company, he used Python to generate social media metric reports. With his experience and knowledge, Rafa hopes to help you take your first steps into the world of Python programming.
During the course, you will learn the following fundamental topics:
- Installation of the necessary software to program in Python using Jupyter Notebook.
- Creation of lists of numerical, text, and boolean variables in Python.
- Performing numerical operations using the NumPy library.
- Data analysis using dataframes with the popular Pandas library.
- Designing basic graphs with Matplotlib.
The course consists of 5 sections, totaling 13 lessons, with a total duration of 1 hour and 6 minutes.
Upon completing the course, you will have acquired the necessary basic knowledge to start working with Python in the field of data science.
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Don’t miss this opportunity to learn one of the most in-demand skills in the current technological field.
Enroll in the course using this link and take your first steps towards an exciting career in data science.