Python Training for Data Science | scientific python

Introduction to Python Training

Introduction to Python – Block 1

7h + 2h

• The types of variables (integer, decimal, boolean, etc.) and basic operators;
• Data structures (list, tuple, dictionary, etc.);
• Flow checks (if-else, try-except-finally);
• Loops (for, while);
• Control-loop combinations;
• Functions and methods (function (object) and object.method ());
• Importing plugins to access more functions-methods;
• Syntax and good practices.

Introduction to Python – Block 2

5h

• Manage modules;
• Administer the operating system
• Pull data from the web (web scraping);
• Rectify the data with the regex module;
• Integrate time with the datetime module.

Initiation to the science of data

14h

• Jupyter Notebook, Spyder and others;
• Introduction to Numpy;
• Introduction to Pandas – Series Object;
• Introduction to Pandas – DataFrame Object;
• • Extra: Introduction to Pandas – Instructions;
  • Extra: Tidy Data;
• groupby and aggregations;
• Data collection with Web API and analysis;
• Graphic visualization;
• • • Extra: Map view.