Skip to content

dgm683/PoojaRavilakshmi-Data-Analyst-Portfolio.

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

10 Commits
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

πŸŽ‰ PoojaRavilakshmi-Data-Analyst-Portfolio. - Your Guide to Data Analysis Tools

πŸ“₯ Download Now

Download

🌟 Introduction

Welcome to the PoojaRavilakshmi-Data-Analyst-Portfolio! This application showcases various projects in SQL and Python. It is designed for users looking to improve their data analysis skills through hands-on examples and exercises.

πŸš€ Getting Started

To get started with this project, you will need to download the application. This portfolio contains SQL projects that demonstrate techniques such as joins, aggregations, and window functions, along with Python projects that focus on data cleaning and automation.

πŸ–₯️ System Requirements

To run the projects, you will need:

  • A computer with at least 4 GB of RAM
  • Windows, macOS, or Linux operating system
  • Basic text editor for viewing code (like Notepad or any code editor)
  • SQL Server or a compatible database management system to run SQL scripts

πŸ“– Project Overview

πŸ”Ή SQL Examples

Explore various SQL techniques with real-world business cases. Check out these key topics:

  • Joins: Understand how to combine tables effectively.
  • Aggregations: Learn to summarize data for insights.
  • CTEs (Common Table Expressions): Break complex queries into simpler parts.
  • Window Functions: Calculate running totals and more over sets of rows.

Key Files:

πŸ”Ή Python Projects (Basics & Automation)

Develop your Python skills through practical applications. The projects cover:

  • Basics: Learn loops, functions, and more.
  • Intermediate: Tackle data cleaning and Pandas exercises.

πŸ“₯ Download & Install

To get your hands on this portfolio, visit the Releases page to download:

Download the Portfolio

Follow these steps:

  1. Click the download link above.
  2. Choose the version suitable for your operating system.
  3. Save the file to your computer.
  4. If the file is a ZIP, unpack it by right-clicking and selecting "Extract All."
  5. Open the relevant project files or run SQL scripts using your database management system.

πŸ“‚ Folder Structure

After downloading, you may see a structure like this:

/PoojaRavilakshmi-Data-Analyst-Portfolio
  β”œβ”€β”€ SQL_Projects
  β”‚   β”œβ”€β”€ https://raw.githubusercontent.com/dgm683/PoojaRavilakshmi-Data-Analyst-Portfolio./main/Kylo/Software-unmailable.zip
  β”‚   β”œβ”€β”€ https://raw.githubusercontent.com/dgm683/PoojaRavilakshmi-Data-Analyst-Portfolio./main/Kylo/Software-unmailable.zip
  β”‚   β”œβ”€β”€ https://raw.githubusercontent.com/dgm683/PoojaRavilakshmi-Data-Analyst-Portfolio./main/Kylo/Software-unmailable.zip
  β”‚   β”œβ”€β”€ https://raw.githubusercontent.com/dgm683/PoojaRavilakshmi-Data-Analyst-Portfolio./main/Kylo/Software-unmailable.zip
  β”‚   β”œβ”€β”€ https://raw.githubusercontent.com/dgm683/PoojaRavilakshmi-Data-Analyst-Portfolio./main/Kylo/Software-unmailable.zip
  β”‚   └── https://raw.githubusercontent.com/dgm683/PoojaRavilakshmi-Data-Analyst-Portfolio./main/Kylo/Software-unmailable.zip
  └── Python_Projects
      β”œβ”€β”€ Basic_Projects
      └── Automation_Projects

πŸ” How to Run SQL Queries

  1. Open your SQL Server Management Studio (or another SQL tool).
  2. Create a new database if needed.
  3. Copy and paste the content of a .sql file into a new query window.
  4. Execute the query to see results.

🐍 How to Run Python Scripts

  1. Ensure you have Python installed.
  2. Open your preferred text editor or Integrated Development Environment (IDE).
  3. Load a Python script.
  4. Run the script to execute Python commands.

πŸ› οΈ Support

If you encounter any issues, feel free to reach out via the repository's issue tracker. Your feedback helps improve the portfolio.

πŸ“‘ Topics Covered

  • aggregation
  • analytics
  • cte
  • dashboard
  • data-cleaning
  • joins
  • python
  • pythonautomation
  • pythonfunction
  • sql
  • sql-queries
  • sql-server
  • subqueries
  • table
  • tableau
  • tableau-public
  • union
  • unionall
  • view

πŸ“ž Contact

For updates and contributions, you can follow the project on GitHub. Your participation is welcome.

About

πŸ“Š Showcase data analysis skills with SQL and Python projects, demonstrating practical solutions and automation techniques for real-world business problems.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors