Data Science

Data Science is the the field involved with one of the following tasks:

• Extraction, gathering, or collecting data and structuring it.
• Manipulation of raw data to prepare it for analysis, or use in machine learning tasks.
• Extracting of knowledge, meaning, and insights from data using statistical and computational methods and visualizing it for predictions and inform decision-making tasks.

Components:

• Data Strategy: Long term process for handling data science tasks, including methodology, data, assets management, etc.
• Data Engineering: Designing and building systems for Data Mining and Machine Learning training processes.
• Data Analysis: Finding patterns and anomalies using statistical methods and machine learning algorithms.
• Visualization: Presenting data and it's analysis results in a visual manner using graphs and charts.

Concerns:

• Data Science Skills
• Challenges:
  • Privacy & Security
  • Prejudice/Bias

Learning Material:

• Educba: Data Science Tutorials
• Microsoft - Data Science for Beginners
• Build a Reproducible and Maintainable Data Science Project
• Data Analytics & Data Analytics and Decision Making by Ali AbdulHussein