Welcome to Part 1 of our Data Analytics series!
In this session , we dive into the exciting world of E-commerce Sales Analysis. This session is perfect for anyone looking to understand how data analytics can be applied to e-commerce to derive actionable insights and drive business growth.
What You’ll Learn:
-Introduction to E-commerce Data: Understanding the types of data generated by e-commerce platforms.
-Data Cleaning and Preparation: Techniques for cleaning and preparing raw data for analysis.
-Exploratory Data Analysis (EDA): Key methods to explore and visualize e-commerce data.
-Identifying Key Metrics: How to identify and calculate important sales metrics.
-Initial Insights: Drawing initial insights from the data to inform business decisions.
Initial Insights:
-Drawing actionable insights from data analysis.
-Case studies and real-world examples of how e-commerce businesses use data analytics.
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Start your journey into Data Analytics with this comprehensive guide to E-commerce Sales Analysis. Don’t forget to like, subscribe, and share this video if you found it helpful. Happy analyzing!
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