You will get Data Cleaning & Analysis using Excel or Python
Project details
Why Do You Need Data Analysis?
Data has become one of the most important assets today. With just a small dataset, you can:
Analyze your project’s workflow in detail
Extract insights to identify strengths and weaknesses
Make informed future decisions to improve your business
What Will You Get for the Service Price?
Complete data cleaning
Detailed basic data analysis
summary report of the analysis result
On-time delivery with the promised quality
Limited revisions or additions upon request
Important Notes:
The base price include analysis of up to 10000 row
Service Features
Data Cleaning:
Removal of duplicate and empty value Formatting data for accurate results
Handling outliers that may affect the analysis
Data Analysis:
The service is available in two levels:
Basic Analysis:
Extracting maximum and minimum values
Counting frequencies and unique values
Calculating mean and standard deviation
Providing essential statistical summaries
Advanced Analysis:
Comprehensive data analysis
Extracting key insights such as profit, sales, quantities, and regions
Linking data using pivot tables
Delivering strategic insights and recommendations to improve performance
Data has become one of the most important assets today. With just a small dataset, you can:
Analyze your project’s workflow in detail
Extract insights to identify strengths and weaknesses
Make informed future decisions to improve your business
What Will You Get for the Service Price?
Complete data cleaning
Detailed basic data analysis
summary report of the analysis result
On-time delivery with the promised quality
Limited revisions or additions upon request
Important Notes:
The base price include analysis of up to 10000 row
Service Features
Data Cleaning:
Removal of duplicate and empty value Formatting data for accurate results
Handling outliers that may affect the analysis
Data Analysis:
The service is available in two levels:
Basic Analysis:
Extracting maximum and minimum values
Counting frequencies and unique values
Calculating mean and standard deviation
Providing essential statistical summaries
Advanced Analysis:
Comprehensive data analysis
Extracting key insights such as profit, sales, quantities, and regions
Linking data using pivot tables
Delivering strategic insights and recommendations to improve performance
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$20
|
Standard
$25
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 3 days | 3 days | 4 days |
Number of Revisions | 2 | 2 | 2 |
Number of Pages Mined/Scraped | 3 | 3 | 3 |
Number of Sources Mined/Scraped | 2 | 2 | 1 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5
Additional Revision
+$5
Additional Page Mined/Scraped
+$5
Additional Source Mined/Scraped
+$5About Karem
Data Analyst | Excel, Power BI, Python, SQL | Python Developer
Alexandria, Egypt - 10:45 pm local time
You're not alone. Many businesses struggle to collect data from websites, waste time on manual work, deal with cluttered Excel files, and lack clear dashboards for smart decision-making.
Here’s how I can help:
• Web Scraping & Data Extraction: Extract structured data from any website using Python
• Automation Scripts: Save time by automating daily tasks and workflows
• Data Cleaning & Analysis: Prepare accurate, well-structured datasets using Python or Excel
• Dashboard & Report Creation: Design insightful dashboards with Power BI or Excel
• SQL Data Handling: Write efficient queries and prepare, Organization data for analysis
• Professional Spreadsheet Design: Build easy-to-read Excel files with advanced formulas
Fast delivery. Accurate results. Solutions built to fit your specific needs.
Let’s make your data work for you — not against you.
Steps for completing your project
After purchasing the project, send requirements so Karem can start the project.
Delivery time starts when Karem receives requirements from you.
Karem works on your project following the steps below.
Revisions may occur after the delivery date.
analyzing file to understand data and the questions related to the activity
proceed with thorough data cleaning to ensure it's ready for analysis.