In this course, you will journey with Joshua MacCarty teaches you to demystify the world of machine learning & build foundational data science skills, without writing a line of code. If you’re interested in Machine Learning for BI, PART 1: Data Profiling, try this course today.
Take the course, Machine Learning for BI, PART 1: Data Profiling. Here are some of the things you’ll be able to do after taking this course:
After taking this course, students will learn how to build foundational machine learning & data science skills, without writing complex code
By the end of this course, you’ll know to 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
Upon completion of the course, you will be able to 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:
This course is perfect 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
Course: Machine Learning for BI, PART 1: Data Profiling
Author: Joshua MacCarty
Categories: Business, Business Analytics & Intelligence, Machine Learning
Includes: 6.5 hours on-demand video, 56 lectures, Unlimited access watch the course as many times as you wish! 30-day money back guarantee! Learn at your own pace wherever and whenever on the computer, mobile device, or tablet, and Certificate of completion to present to your current or future employer!
Enroll in This Online Course Now!
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