Store Data Analysis
Store Data Analysis focuses on analyzing store sales, customer behavior, and product performance to improve business decisions and increase profitability.
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About This Course
Store Data Analysis involves collecting, analyzing, and interpreting store data such as sales records, inventory, and customer trends. This course teaches how to use data analysis techniques and tools to identify patterns, track performance, and make data-driven decisions that help businesses improve sales, manage inventory efficiently, and understand customer behavior.
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Ricardo dave has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics, materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc. and provides in-person data science and python ...
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Course Specifications
Start Date
10 Mar 2026 | 12:00 am
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Duration
1:00 Hours
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Created Date
10 Mar 2026
Updated Date
10 Mar 2026
Highlet Provider
Data Analyst at Microsoft
The instructor is currently unavailable.
I am not available for 2 days due to a business trip
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Store Data Analysis
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