This course will allow you to acquire SQL skills for data analysis and management. During this course, you will have the opportunity to use and manipulate the most well-known SQL features such as joins, subqueries, aggregation functions, filter and grouping clauses, as well as transactions. Finally, the methodology is based on familiarization with SQL syntax and the practice of acquired skills through real-world projects. SQL is one of the world's most widely used languages for relational database management, and it is essential for efficiently manipulating and extracting data in many fields, including data science and business intelligence.

This course will allow you to have Python language skills for data analysis and visualization. During this course, you will have the opportunity to use and manipulate the most famous Python libraries such as Numpy, Matplotlib, Seaborn, Pandas, Scikit-Learn, etc. Finally, the methodology is based on familiarization with Python syntax and putting the acquired skills into practice in projects. Python is the most widely used programming language in the world. It is the reference programming language in the scientific community since it allows the creation of a multitude of scientific applications.