Machine Learning for BI, PART 1: Data Profiling Free Download. Demystify the world of machine learning & build core data science skills, without writing a single line of code
Table of Contents
Machine Learning for BI, PART 1: Data Profiling Description
Requirements
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This is a beginner-friendly course (no prior knowledge or math/stats background required)
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We’ll use Microsoft Excel (Office 365) for some course demos, but participation is optional
Ultimate Adobe Photoshop Training: From Beginner to Pro
What you’ll learn
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Build foundational machine learning & data science skills, without writing complex code
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Use intuitive, user-friendly tools like Microsoft Excel to introduce & demystify machine learning tools & techniques
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Prepare raw data for analysis using QA tools like variable types, range calculations & table structures
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Analyze datasets using common univariate & multivariate profiling metrics
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Describe & visualize distributions with histograms, kernel densities, heat maps and violin plots
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Explore multivariate relationships with scatterplots and correlation
Who this course is for:
- Anyone looking to learn the basics of machine learning through real-world demos and intuitive, crystal clear explanations
- Data Analysts or BI experts looking to transition into data science or build a fundamental understanding of machine learning
- R or Python users seeking a deeper understanding of the models and algorithms behind their code
Machine Learning for BI, PART 1: Data Profiling Free Download
Content From: https://www.udemy.com/course/machine-learning-for-bi-part-1/
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