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This project involves creating advanced data visualizations to extract actionable insights and facilitate data-driven decision-making with Tata Consultancy Services.

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Tata Data Visualisation using Tableau

Designer (1)

Project Title - Tata Data Visualisation

  • This Repository Presents an Extensive Collection of Data Visualizations developed in Collaboration with Tata Consultancy Services and Forage.
  • By Leveraging this Project, we can Uncover Valuable Insights and Enable Informed Decision-Making.

📃Description

This Project Showcases a Simulation I Completed for Tata Consultancy Services, where I gained Hands-on Experience as a Data Analyst. It Involved creating Data Visualizations and Preparing Strategic Questions for Senior Leadership Meetings. My work focused on developing Visuals to Aid Executives in Effective Decision-Making. This Project Highlights my Ability to handle Multiple Tasks and Deliver Actionable Insights in a Professional setting.

Table of Content

🚀 Project Goal

This Project is Driven by the Desire to Enhance Analytical Capabilities and Provide Clarity in Complex datasets, ultimately Supporting more Informed and Impactful Business Decisions.

Project Motivation

This Project is Motivated by my Aspiration to Gain Hands-on Experience in Data Analysis, Refine my Skills and apply them in a Real-World Context to drive Meaningful Insights.

⏳ Dataset

The Dataset is a Excel File, featuring Comprehensive and Meticulously Detailed Sheet.

  • Kindly Access and Download the Dataset via the Link provided below
  • Dataset Link :- Raw Data.xlsx

📑 Dataset Description

When we examine, we observe a number of Different Columns in the Dataset.

  • Invoice No : Unique Identifier assigned to each Invoice for Tracking and Reference Purposes.
  • Stock Code : Identifier for the Specific Product or Item being sold.
  • Description : Detailed Description of the Product or Item listed on the Invoice.
  • Quantity : Number of Units of the Product Purchased in each Transaction.
  • Invoice Date : Date on which the Invoice was Generated.
  • Unit Price : Price per Individual unit of the Product.
  • Customer ID : Unique Identifier assigned to each Customer for Distinguishing between Different Buyers.
  • Country : Country where the Customer is Located.
  • Revenue : Total Revenue generated from the Sale calculated as Quantity multiplied by Unit Price.

Requirement

  • ✅ Revenue by Month in Year 2011.
  • ✅ Top 10 Countries with Highest Revenue.
  • ✅ Top 10 Highest Revenue enerating Customers.
  • ✅ Revenue by Region.

🧹 Data Cleaning ✨

  • Removed unwanted columns.
  • Changed the Data Types wherever required.📅
  • Removed Duplicates.
  • Replaced data with meaningful data etc.📝
  • Added a Column "Revenue" by using a Function.

✅ Installation : ETL Tools ✅

Using the Raw Data, I crafted an Insightful and Visually Compelling Dashboard in Tableau Public.

🚀 My Project

Comprehensive Analysis has been conducted on the Dataset, illustrated through a Variety of Engaging Plots📊📈.

Author 🙎‍♀️

157189039-c09b3e38-9f42-42c0-ab54-14f1574190a7

📝 Lessons Learnt

  • ⭐Data Quality is Crucial
  • ⭐Simplicity Enhances Usability
  • ⭐Effective Use of Visuals
  • ⭐Interactive Elements Add Value
  • ⭐Consistent Formatting is Key
  • ⭐Performance Optimization Matters

✍ Acknowledgement

Thank you to TATA and Forage for providing me this Invaluable Oppurtunity, which I leveraged to Enhance my Analysis and Visualization of the Data throughout the Project.

🌟About Me 🙎‍♀️

I am Passionately delving into the realm of Data Analytics, engaging in thorough Learning and Hands-on Projects to refine my skills. As I explore Career Opportunities, I am eager to Transform data into Valuable Insights and contribute to a Dynamic and Innovative Organization.

Hi, I am Mansi! 👋

🔗Links

🛠 Technical Skills

🟡Scripting Language

Anaconda-Jupyter Notebook jupyter_app_icon_161280.

🟡Data Engineering

Exploratory Data Analysis 📊📈👨🏻‍💻.

🟡Microsoft

Excel microsoft_office_excel_logo_icon_145720 , Word microsoft_office_word_logo_icon_145724 , Powerpoint PowerPoint_2013_23479 .

🟡Data Visualization

Tableau tableau_logo_icon_144818 , Power BI data_office_power_bi_logo_microsoft_icon_228487 , Looker Studio unnamed .

🟡Libraries

Pandas, Numpy, Matplotlib, Seaborn, Plotly, Scipy.

✔️ Show your Support

If you appreciate this Project, please consider awarding it a ⭐

💥 Feedback

If you have any Feedback, please reach out to me at LinkedIn :- https://www.linkedin.com/in/mansi-p-s-9052a0311

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This project involves creating advanced data visualizations to extract actionable insights and facilitate data-driven decision-making with Tata Consultancy Services.

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