- Course
SnowPro Advanced Data Analyst: Data Analysis
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.
Intermediate
- Course
SnowPro Advanced Data Analyst: Data Analysis
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.
Intermediate
Get started today
Access this course and other top-rated tech content with one of our business plans.
Try this course for free
Access this course and other top-rated tech content with one of our individual plans.
This course is included in the libraries shown below:
- Data
What you'll learn
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.
SnowPro Advanced Data Analyst: Data Analysis
Intermediate
Table of contents
Bismark is a BI & Big Data Engineer obsessed with applying his knowledge in computer engineering and mathematics in the fields of Data Science, Artificial Intelligence, Machine Learning, Big Data, and Human Computer Interaction to find disease cures, provision of better healthcare and technology, autonomous systems, education and productivity through research into novel methods and algorithms for computation.