Basic Information
This Course Will Introduce Students to Advanced Data Management Algorithms For Reliable Decision Making. The Course Will Teach The Students Methods For Handling Different Stages of The Data-driven Decision-making Process, Including Data Integration, Cleaning And Investigation, to Enable Drawing Sound Conclusions From The Given Data. The Course Will Provide Theoretical Knowledge and Practical Experience to Draw Conclusions From The Data. The Goal of The Course Is to Learn How to Address Common Data Problems That Can Bias Conclusions From The Given Data. The Course Will Provide Theoretical Requires That The Participants Have Successfully Passed Course. The Course Consists of Weekly Lectures and Homework Biases. Learning Outcomes# at The End of The Course The Students Will Be Able To# 1. Develop and Maintain Code Aimed at Improving The Quality of The Data. 2. to Know Which Factors May Bias The Results of Queries Or Applications That Process The Data. 3. Know Which Solutions Can Be Used to Overcome Factors That May Bias The Conclusions. 4. to Learn Advanced Programming in The Python Language.