This analysis is to help understand the cancer risk in different age groups and also notify the different age group respondents with lung cancer. My data was analyzed using Microsoft Excel and visualized using Python, PBI
Skills: Data cleaning and calculations & data visualization with Python.
Click Here to access the Python file.
The purpose of the analysis is to determine which part of the supply chain can be improved or shortened to deliver the product more quickly and efficiently to the customers.
Skills: Data cleaning and calculations with Excel and Power query, data visualization with Power BI.
Click this Article Power BI Report PDF Version to view the visuals generated, or you can Click Here to access the Power BI workbook.
The analysis aims to use Python code with a step-by-step process to the impact of each marketing strategy and sales visit on Sales & Is the same strategy valid for all the different client types?
Skills: Data cleaning and calculations & data visualization with Python.
Click Here to access the Python file.
The purpose of the analysis is to use Python code with a step-by-step process to predict stock market prices using regression analysis.
Skills: Data cleaning and calculations & data visualization with Python.
Click Here to access the Python file.
By querying the order details and pizza tables, managers can identify the best-selling pizzas, assess revenue from different pizza sizes, and evaluate pricing strategies.
Skills: SQL (MySQL, Data analysis).
Click this SQL Analysis PDF to view the PDF analysis version.
The main objective of this project is to analyze retail sales data to gain actionable insights that will enhance the performance of the Coffee Shop.
Skills: The data was collected from Kaggle and analyzed/visualized using Excel.
Click here to access the Excel Dashboard