Business Intelligence and Analytics - Dealing with Missing Data Part 1
Master Data Mastery: Transform, Analyze, and Visualize! Dive into the world of Big Data, Governance, Python Analytics, Machine Learning, and AI with Stephanie Powers. Unlock data's power and elevate your expertise in modern analytics and data engineering. Enroll now!
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31 learners
What you'll learn
Understand and apply data governance principles to manage data effectively.
Analyze data types and structures using Python for data engineering tasks.
Create dashboards and visualizations in Python to present analytical insights.
Implement machine learning models in Python for classification and prediction tasks.
This course includes
56.5 hours of video
Certificate of completion
Access on mobile and TV
Summary
Full Transcript
This video covers best practices for dealing with missing data for short term forecasts, long term forecasts, regression models where the focus is on which variables are statistically significant and how much impact they have, and regression models focused on accuracy of prediction. Part 2 covers classification models, cluster analysis, and neural networks.
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