Description: This single-session course provides you with essential knowledge and skills to effectively prepare data for analysis. Starting with an overview of the Data Analytics pipeline and processes, the session explores various statistical and visualization techniques used in Exploratory and Descriptive Analytics to understand historical data. You will then delve into the art of Data Preparation, gaining expertise in data cleaning, handling missing values, detecting, and handling outliers, as well as transforming and engineering features. By the end of the session, you will be equipped with the necessary tools to ensure data quality and integrity, enabling you to make informed decisions and derive valuable insights from their data.
Teacher: Shadi Khalifa (CAC, Queen's University)
Level: Intermediate
Format: Lecture + Hands-on
Certificate: Attendance
Prerequisites:
- Some experience and knowledge of statistics.
- Some experience and knowledge of Python.