In a world where data is increasingly complex, the ability to sift through massive datasets to find actionable insights is more critical than ever. In this course, Exploratory Data Analysis for Data Scientists, you’ll gain the ability to effectively analyze and interpret complex datasets using advanced exploratory techniques. First, you’ll explore the fundamental methods of visualizing and summarizing data. Next, you’ll discover how to apply multivariate analysis and anomaly detection to uncover deeper insights and patterns hidden within the data. Finally, you’ll learn how to leverage advanced EDA techniques for big data and machine learning contexts, adapting these strategies to enhance model accuracy and data storytelling. When you’re finished with this course, you’ll have the skills and knowledge of exploratory data analysis needed to adeptly navigate and extract meaningful information from large, complex datasets, empowering you to make data-driven decisions confidently.
Author Name: Pinal Dave
Author Description:
Pinal Dave is an SQL Server Performance Tuning Expert and independent consultant with over 22 years of hands-on experience. He holds a Master of Science degree and numerous database certifications. Pinal has authored 14 SQL Server database books and 81 Pluralsight courses. To freely share his knowledge and help others build their expertise, Pinal has also written more than 5,800 database tech articles on his blog at https://blog.sqlauthority.com.

Table of Contents

• Course Overview
  1min
• Applying Fundamental EDA Techniques
  17mins
• Utilizing Advanced EDA in Big Data and Machine Learning
  9mins