https://github.com/akash1070/data-analytics-virtual-experience-program-by-quantium

Data Analytics Virtual Experience Program by Quantium
https://github.com/akash1070/data-analytics-virtual-experience-program-by-quantium

data-analysis data-science machine-learning-algorithms python3 tableau

Last synced: 10 months ago
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Data Analytics Virtual Experience Program by Quantium

• Host: GitHub
• URL: https://github.com/akash1070/data-analytics-virtual-experience-program-by-quantium
• Owner: Akash1070
• Created: 2022-09-26T03:14:24.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-09-26T03:39:53.000Z (over 3 years ago)
• Last Synced: 2025-01-29T12:10:30.217Z (about 1 year ago)
• Topics: data-analysis, data-science, machine-learning-algorithms, python3, tableau
• Language: Jupyter Notebook
• Homepage:
• Size: 5.05 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# **Data Analytics Virtual Experience Program by Quantium**

- This is program consists of 3 tasks 

- All these code files were my personal submissions for this program. Except the data files which were assigned by Quantium.

---

## Code and Resources Used

**Python Version:** 3.7

**Packages:** pandas, numpy, seaborn, sklearn, matplotlib, datetime, scipy

---

## Deployment

### Task 1 - Data preparation and Customer Analytics

Conduct analysis on your client's transaction dataset and identify customer purchasing behaviours to generate insights and provide commercial recommendations.

### Task 2 - Experimentation and Uplift Testing

Extend your analysis from Task 1 to help you identify benchmark stores that allow you to test the impact of the trial store layouts on customer sales.

### Task 3 - Analytics and Commercial Application

- Use your analytics and insights from Task 1 and 2 to prepare a report for your client, the Category Manager.

#### Final Report 

- Use analytics and insights from Task 1 and 2 to prepare a report for the client, the Category Manager.

- Delivered the insights and recommendaions to the client in PowerPoint presentation along with easy to understand data visualizations.

## Authors

- [@Akash Kumar Jha](https://github.com/Akash1070)

  

## Installation

To install the libraries used in this project. Follow the 

below steps:

```bash

import pandas as pd

import seaborn as sns

import matplotlib.pyplot as plt

%matplotlib inline

import numpy as np

```

    

## Running Flask Api

To run tests, run the following command

```bash

  python app.py

```

## 🚀 About Me

Data Scientist Enthusiast | Petroleum Engineer Graduate | Solving Problems Using Data 

# Hi, I'm Akash! 👋

## 🔗 Links

[![github](https://img.shields.io/badge/github-000?style=for-the-badge&logo=ko-fi&logoColor=white)](https://github.com/Akash1070)

[![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/akashkumar107/)

## Tech Stack

![Logo](https://businesstoys.in/assets/programs/full-stack-data-science-professional-program/tools.png)

## Other Me

👩‍💻 I’m interested in Petroleum Engineering

🧠 I’m currently learning Data Scientist | Data Analytics | Business Analytics

👯‍♀️ I’m looking to collaborate on Ideas & Data

## 🛠 Skills

1. Data Scientist

2. Data Analyst

3. Business Analyst

4. Machine Learning 

## Future Plans 

⚡️ Looking forward to help drive innovations into your company as a Data Scientist

⚡️ Looking forward to offer more than I take and leave the place better than i found