Track 01

Theme: develop scripts that automate the extraction of data from the internet and its corresponding analysis using Python programming language.

This learning path is designed to develop three skills: 

1.  A new concept that helps to identify the level of confidence of declared values ​​coming from a given country in accordance with the concept of mirror statistics.

2. Learn how to read information from a free database that has importation and exportation values from several countries.

3. Use a free and easy-to-use environment that enables the creation of a tool for the automatic analysis and classification of countries.

4. Exercises about data types, and structures in Python and how to manipulate them.

5. Reading data from different sources: upload a file to Google Colab, read data from Google Drive, from the internet, using an API.

6. After reading data problems: cleaning data sets, empty data, data normalization (summary here, exercise in Track 06).  

7. About using Python on Excel: https://www.anaconda.com/blog/announcing-python-in-excel-next-level-data-analysis-for-all

8. About using ChatGPT on Google Colab: https://www.ilovefreesoftware.com/14/programming/use-chatgpt-in-google-colab-for-free-to-explain-summarize-code.html

9. The link to install ChatGPT on Google Colab: https://chrome.google.com/webstore/detail/chatgpt-for-google-colab/dfhfeifekpgapdlhfakecbbinnnfoohh

The next links will help in this learning journey. Have a good learning journey.

Additional online material about Python: Summary of Commands