1.1. What is a variable? [10 - 15 min]*
How could you store data and process it?
1.2. What is a list? [20 - 30 min]*
How could you store different types of data and process it?
1.3. What is a dictionary? [15 - 45 min]*
Another manner to store, organize and process data.
1.4. What is Pandas and data frame? [30 - 60 min]*
How to integrate lists, dictionaries, and tables? Pandas can help you.
1.5. Logical types and logical tests [30 - 40 min]*
Using if and else to control the program flow
1.6. Logical types and loops [30 - 40 min]*
Using while to control the program flow
1.7. Functions [30 - 40 min]*
Creating new commands and making the program more understandable
2.1. What is web scraping? [2 - 5 min]*
Extract and process data from the Web.
2.2. What Is Data Wrangling? [15 - 20 min]*
Avoid the use of improper data: filter, then use it.
2.3. What is Exploratory Data Analysis (EDA)? [20 - 25 min]
Using statistics to discover patterns.
2.4. Bots: Let´s automate things! [20 - 25 min]*
Create your first bot to help in your tasks!
2.5. Better practices: Let´s code and annotate it! [28 - 30 min]*
Programming is not only about writing code, but also describing your problem.
3.1. Statistics about importation and exportation: Pareto Law appears?
[0:50 - 1:15 h]*
Using the previous Python practices and reading to acquire and analyze the data from importation and exportation of England.
3.2. Cross-checking Exportation and Importation Statistics.
Cross-checks of import/export between countries of the same commodity groups.
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