Skip to content

README.md

Latest commit

 

History

History
31 lines (23 loc) · 1.62 KB

README.md

File metadata and controls

31 lines (23 loc) · 1.62 KB

Data Analytics Projects !!

Overview

This is my data analytics projects, where I analyze insights using tools like Excel, SQL, Power BI, and Tableau. The project focuses on transforming raw data into actionable insights for data-driven decision-making.

Tools & Technologies Used

  • Excel: For data cleaning, basic analysis, and visualizations.
  • SQL: For querying, data manipulation, and relational database operations.
  • Power BI: For building interactive dashboards and visual reports.
  • Tableau: For advanced data visualization and storytelling.

Project Workflow

  1. Data Collection

    • Gathered raw data from various sources including CSV files, databases, and APIs.

  2. Data Cleaning

    • Cleaned data using Excel and SQL by removing duplicates, handling missing values, and standardizing formats.

  3. Data Analysis

    • Used SQL for deep analysis, performing queries, joins, and aggregations to identify trends and patterns.

  4. Data Visualization

    • Developed interactive dashboards in Power BI and Tableau to visualize key metrics such as sales, customer behavior, and revenue trends.

  5. Insights & Recommendations

    • Key insights were shared with stakeholders, focusing on improving business strategies, customer segmentation, and operational efficiency.

Key Insights

  • Sales Performance: Highest sales were observed in Q3, driven by marketing campaigns.
  • Customer Segmentation: Urban customers contributed significantly to revenue with frequent purchases.
  • Operational Challenges: Notable shipping delays during peak seasons affected customer satisfaction.