Data Analytics/Science Projects

Table of Contents

1. About The Projects

   • The projects
   • Built With
   • Datasets

2. Getting Started

   • Prerequisites
   • Installation

3. Roadmap

About The Projects

These projects are designed to help me continue learning how to import, clean, manipulate, and visualize data with python, as well as work with datasets to learn statistical and machine learning techniques.

The projects

• Do Left-handed People Really Die Young
• Dr. Semmelweis and the Discovery of Handwashing
• English-Premier-League-Players-Game-Statistics
• Investigating Netflix Movies and Guest Stars in The Office
• Using pandas' read_csv iterator for streaming data
• The GitHub History of the Scala Language

Built With

• Python
• Pandas
• Numpy
• Matplotlib
• Plotly Express
• IDE: Jupyter Notebook, Google Colab

Datasets from

• Kaggle
• DataCamp
• ReDI School of Digital Integration
• UCI Machine Learning Repository

Getting Started

Prerequisites

Installation

Roadmap

• Data Manipulation with pandas
• Joining Data with pandas
• Data Visualization with Matplotlib
• Data Visualization with Seaborn
• Data Visualization Tools: Microsoft Power BI, Tableau
• Data Lake, Data Warehouse
• Machine Learning in the Data Science Lifecycle
• Machine Learning Algorithms in Data Science