Using Python Pandas Library to Analyze Sales Data
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Updated
Mar 25, 2022 - Jupyter Notebook
Using Python Pandas Library to Analyze Sales Data
Data visualisations in Power BI
A service sales manager made for freelancers.
The primary objective of the project is to Analyse sales for Northwind data using QlikSense & Tableau.
Assessed historical shipping data for a shipping company selling products and shipping them to its customers' destinations to determine future shipping strategies.
European Sales Dashbaord Development via Tableau
Black Thursday is a system that's able to load, parse, search, and execute business intelligence queries against the data from a typical e-commerce business. Built in Ruby
Basic analyze on a sales dataframe, where we looking for answers for basics questions and visualize them.
Enable stakeholders with an engaging Power BI dashboard illustrating key e-commerce performance indicators and patterns. Evaluate sales data, predict forthcoming trends, and formulate knowledgeable approaches to foster business expansion.
This project looks at the sales pattern of a product category in a retail store, using the store’s transaction dataset and identifying customer purchase behavior, to generate insights and recommendations.
The primary objective of this project is to develop a comprehensive and visually appealing Power BI dashboard that analyzes the medicine sales data for the entire year of 2023 and 2022.
This project aims to provide a clear and actionable understanding of the e-commerce business and its various components, helping identify areas for improvement and growth.
The primary objective of this project is to develop a comprehensive and visually appealing Power BI dashboard that analyzes the medicine sales data for the entire year of 2023 and 2022.
The primary objective of this project is to develop a comprehensive and visually appealing Power BI dashboard that analyzes the medicine sales data for the entire year of 2023 and 2022.
This project predicts the sales demand for various items in different stores based on historical sales data. The objective is to develop a machine learning model that can provide accurate forecasts for future sales of each store-item combination.
Empower decision-makers with an interactive Power BI dashboard showcasing e-commerce performance metrics and trends. Analyze sales data, forecast future trends, and drive informed strategies for business growth.
Artificial Intelligence virtual internship programme by Cognizant through Forage!
This repository contains a Python project for analyzing sales data and deriving valuable insights.
Analyze sales dataset.
This project uses Power BI and Power Query to conduct interactive report on stores and products performances of a Mexico Toys Company.
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