Data Science - Analysis/Cleaning with Python (Business Sales Dashboard - Phase 1)
13 Jul 2023Objective
Create an interactive dashboard that offers valuable business insights into product sales, manufacturing, and market data to allow for seamless exploration of key metrics, facilitating informed decision-making and enhancing understanding of the sales and manufacturing processes as well as market trends and opportunities.
Phase 1: Data Analysis/Cleaning
Technical Goals/Overview
Develop iterative data analysis and process to for input into visualization dashboard.
Summary: Technical Implementation
- Project Setup
- Python Environment
- Jupyter Notebook
- Data Analysis and Visualization Packages
- Data Analysis
- Explore, understand, and create a dataset from raw data.
- Provide report of missing, duplicate, and invalid data for correction.
- Clean and process data.
Skills Footprint:
Category | Technical Specifics |
---|---|
general | Data Science * Data Analysis |
standards | CSV * Spreadsheet |
tools | VSCode * GIT * Python * Jupyter Notebook |
concepts | Dataset Creation * Data Cleaning * Data Processing |
packages | pandas * yaml * numpy |