Data Analytics with Python and Pandas
The session will use jupyter notebooks and the participants will be asked to code along with me as we work with sample data and try to gain as much value from it as possible. During the sessions we will be learning the following: load data, validate and clean data, transform and manipulate data, visual data and how to make visualization easily shareable. Webinar Takeaways: How to load data How to clean and transform data How to visualize data Meet your presenter... Kirk MacDonald Over 5 years of experience of working with data between RBC and Air Canada. I'm a data engineer with a master's in data science and an overall interest in anything data. Have in depth knowledge of PySpark, SQL, Python, and various data tools. SKilled at navigating through complex data scenarios and offering insights that go beyond the surface.