You will get Excel Data Analyst. Services for Organising and Cleaning Data
Project details
With experience in Python, NLP, SQL, Advanced Excel, and data visualisation, I provide full-service data analysis. I need a clear timeframe, well-organised data, well-defined project goals, efficient communication, considerations for data protection, unique preferences, and candid feedback in order to achieve a successful cooperation. We can successfully accomplish your data analysis goals if our needs and expectations are in line.
Data Tool
TableauWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 5 days |
Number of Revisions | 2 | 2 | 2 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50
Additional Revision
+$50Frequently asked questions
About Princess M
Data Analyst / Excel Expert/ SQL / BI /Python / Statistical Analysis
Sheffield, United Kingdom - 11:24 pm local time
I've worked in a variety of businesses for a long time, including technology, healthcare, finance, and retail. My abilities include manipulating and analysing huge data sets with tools like R, Python, SAS, SQL, Shiny, PowerBi, and Tableau, as well as clearly and persuasively presenting results.
I am a committed data analyst who is enthusiastic about using data to solve problems in the real world and advance analytics and related fields. I can help you with any aspect of research methodology, data analysis, or developing research proposals. Please get in touch with me with any queries you may have or project enquiries; I'm dedicated to helping you achieve your goals.
I would be a fantastic fit for you if you're searching for a data analyst that is committed, competent, and constantly willing to learn and advance.
Thank you for considering my profile!
Steps for completing your project
After purchasing the project, send requirements so Princess M can start the project.
Delivery time starts when Princess M receives requirements from you.
Princess M works on your project following the steps below.
Revisions may occur after the delivery date.
Data tools
Step 1: Understanding the business problem. Step 2: Analyze data requirements. . Step 3: Data understanding and collection. Step 4: Data Preparation. . Step 5: Data visualization. Step 6: Data analysis. Step 7: Deployment