Using Python to Analyze data by:

- Gathering Data from different file type

- Data Wrangling: Cleaning and unifying messy and complex data sets for easy access and analysis. 

- Data Cleaning: Dealing with missing data, duplicated values, incorrect data types, etc..

- Exploratory Data Analysis: Exploring and augmenting data to maximize the potential of analysis, visualization and models

And write code to import the data and answer interesting questions about it by computing descriptive statistics.  

I have completed 2 projects about data analysis using python:

The first one is Explore US Bikeshare Data: Use Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington and write code to import the data and answer interesting questions about it by computing descriptive statistic.

The second one is No-Show Medical Appointments Data Analysis: Analyzing data associated with the medical appointments in Brazil and finding which factors affect whether or not patients show up for their appointment