My name is Laércio, I am a data engineer and data analyst with know-how and expertise in bi/big data, using Python, Microsoft/Oracle.

Currently working and living in City of Rio de Janeiro, Brazil. When I am not with my family or my friends, I am programming anything. When I am not doing it all, I am listening music, ride motorcycle, reading a book or drawing and painting anything.

Actually the amount of data produced by businesses and devices is going nowhere but up.

Python, a “general-purpose language”, provides the flexibility and power needed to make sense of it all. Python has mature tools for specialized analysis tasks, processing data streams, visualizing datasets, and carrying out scientific calculations. Using Python for business intelligence (BI) can help you solve tricky problems quickly and easily.

I have two blogs:

(http://binapratica.blogspot.com.br/) and

(http://prognofrontiers.blogspot.com.br/).

Both blogs I talk about business discovery, data analysis and data visualization.

But, in the second blog I published a serie called: Agile Data Science. This serie is divided in five parts and in each one, you’ll find some recipes that take you through the entire process of creating actionable intelligence from your raw data, no matter what shape or form it’s in.

Also you’ll learn how to use the latest in Python and NoSQL databases to glean insights from data just waiting to be exploited.

We’ll begin with a quick-fire introduction to Python for BI and show you what problems Python solves. From there, we move on to working with a predefined data set to extract data as per business requirements, using the Pandas library and MongoDB as our storage engine.

After, we will analyze data and perform transformations for BI with Python. Through this, you will gather insightful data that will help you make informed decisions for your business. At the end will show you the most important task of BI—visualizing data by building stunning dashboards using Matplotlib, D3, iPython/Jupyter Notebook.