Machine Learning for BI, PART 1: Data Profiling

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

Machine Learning for BI, PART 1: Data Profiling Description

Requirements

  • This is a beginner-friendly course (no prior knowledge or math/stats background required)
  • We’ll use Microsoft Excel (Office 365) for some course demos, but participation is optional

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What you’ll learn

  • Build foundational machine learning & data science skills, without writing complex code
  • Use intuitive, user-friendly tools like Microsoft Excel to introduce & demystify machine learning tools & techniques
  • Prepare raw data for analysis using QA tools like variable types, range calculations & table structures
  • Analyze datasets using common univariate & multivariate profiling metrics
  • Describe & visualize distributions with histograms, kernel densities, heat maps and violin plots
  • 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

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Content From: https://www.udemy.com/course/machine-learning-for-bi-part-1/

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