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Pluralsight

SnowPro Advanced Data Analyst: Data Analysis

via Pluralsight

Overview

Learn to improve customer retention using advanced data analysis techniques. This course will teach you how to identify causes of low retention, predict future behavior, and develop data-driven strategies to enhance customer loyalty.

Customer retention is a critical issue for companies struggling to maintain long-term customer relationships, impacting revenue growth and market position. In this course, SnowPro Advanced Data Analyst: Data Analysis, you’ll gain the ability to improve customer retention using advanced data analysis techniques. First, you’ll explore SQL extensibility features, including user-defined functions (UDFs), stored procedures, and views, to analyze customer data effectively. Next, you’ll discover how to perform descriptive analysis using Snowsight dashboards and exploratory ad-hoc analyses to identify trends and patterns in customer behavior. Finally, you’ll learn how to perform diagnostic and predictive analyses to detect anomalies, understand customer demographics, and build forecasting models to predict and improve retention rates. When you’re finished with this course, you’ll have the skills and knowledge of a SnowPro Advanced Data Analyst needed to develop data-driven strategies that enhance customer loyalty.

Syllabus

  • Course Overview 1min
  • Using SQL Extensibility Features 16mins
  • Performing Descriptive Analysis 17mins
  • Performing Diagnostic Analysis 7mins
  • Performing Predictive Analysis 14mins

Taught by

Bismark Adomako

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