In this project we provided insights into the various aspects of the company's sales operations,
including customer behavior, product performance, and sales trends over time.
This project allows stakeholders to make informed decisions and strategies to drive
business growth and profitability by the Development of a working company database.
The dataset consists of tables representing sales transactions, customer information, product details and location.
The Key Components of This Project Includes:
Database Development and Management
Table Creation
Data Cleaning
SQL Queries
This project focuses on the Preparation, Storing, Cleaning and Transforamtion of housing data all in the MySql platform.
The Key components includes:
-Database Creation
-Cleaning and Transformation of data using SQL queries
-Drawing insights through SQL Queries
The projects aims to analyze global energy demand and explore Africa's potential to harness solar energy. By utilizing real world datasets,
the study will highlight the current energy consumption patterns, the role of renewable energy sources and the significant opportunity for solar
energy for Africa. The project will provide a comprehensive summary of the global energy landscape, with a focus on renewable energy adoption and the untapped solar potential
in the African countries.
The Data was cleaned, transformed and analyzed.
During the cleaning phase, inconsistencies were corrected,
missing data were addressed, and duplicate data were removed
to ensure the accuracy and reliability of the data.
Data relationships were created through the data modelling
function of powerBI. Then, the data was transformed
into a structured format that is suitable for analysis
followed by the creation of a new metric.
Click the link for a more detailed description of the video.
In this project we created an Excecutive Sales Dashboard Utilizing PowerBI Desktop visualitzation tools to extract insights from raw data
The Key component includes:
-Data Cleaning
-Data Transformation
-Data Modeling(Power Pivot)
-Calculated Field
-DAX
Cleaned, transformed, and analyzed data using Google Sheets, and presented the insights through an interactive dashboard created with Looker Studio.
In this, we executed a robust data analysis project in Excel, featuring data cleaning, preparation, and transformation using Power Query and DAX. Implemented calculated columns and KPIs for enhanced insights. Concluded with compelling visualizations showcasing the project's analytical depth.
The Key component includes:
-Power Query
-Data Cleaning
-Data Transformation
-Data Modeling(Power Pivot)
-Pivot Tables
-Calculated Field
-DAX
In this project, we explore HR dynamics with an HR dataset Using Microsoft Excel.' Uncover insights, trends, and key metrics for informed decision-making in the HR domain.
The Key component includes:
-Advance Excel Functions (vlookup, data validation, index match
-Data Cleaning
-Data Transformation
-Pivot Tables
-Excel Visualization Tools
This project utilizes Python Pandas as a Data Cleaning Tool to prepare, clean and Transform a housing data.
In this project we provided insights into the various aspects of the company's sales operations using Python.
Visualization was also provided with Matplotlib and Seaborn.
