Data Analytics Portfolio
These are projects that I undertook at Udacity School of Data Science
They've been reviewed by industry practitioners and mentors in the field of Data Science
These are projects that I undertook at Udacity School of Data Science
They've been reviewed by industry practitioners and mentors in the field of Data Science
I performed an analysis using basic and advanced SQL queries to help better understand which countries and regions around the world seem to have forests that have been shrinking in size, and also which countries and regions have the most significant forest area.
In this project, I choose the FBI Gun Dataset and investigated it using NumPy and pandas. I completed the entire data analysis process, starting by posing a question and finishing by sharing my findings.
Using Python, I gathered data from a variety of sources, assessed its quality and tidiness, then cleaned it. I documented my wrangling efforts in a Jupyter Notebook, plus showcased them through analyses and visualizations using Python
I applied visualization principles to the data analysis process. Explored data visually at multiple levels to find insights and create a compelling story.
I created a Tableau dashboard to gain a more comprehensive view of the data and used Tableau's story feature to tell a story of the Asylum seekers data.
I created a Tableau dashboard to gain a more comprehensive view of the data and used Tableau's group, filter, marks and other features to analyse World Cup data.