Data Science Skills

Technical Prerequisites:

• Development Skills
  • Programming Knowledge: Preferably Python , R, or Julia
  • Writing High-Quality Code: code conventions and reusability
  • Utilize the Command Line
  • Use Version Control
  • Dependency management and containers
  • Unit Testing
  • Data Visualization
• Data Skills
  • Working with DBMSs
  • Data Manipulation Skills: Mainly Data Mining, and Data Preparation
  • Big Data
  • Analysis Methodology: Data Analysis Methods such as Statistical modeling or Machine Learning Skills.
• Software Engineering
  • Understanding code structures
  • Feasibility checks applied to data and model
  • Applied DevOps in Data Science and MLOps in Machine Learning
• Mathematical Skills: Mostly converges with Mathematics of AI

Soft Skills:

• Business Understanding
• Problem-Solving Skills
• Communication Skills
• Creativity
• Time Management
• Presentation & explanation of visual elements, insights and meaning of data
• Story telling
• Report writing and Visualization
• Teach, Learn, and ask for help
• Domain Knowledge
  • Business domain knowledge: What is your business about and what metrics represent it’s different aspects? E.g, products, customers, channels and marketing, etc.
  • Business Understanding: Who are business stakeholders and what they need to know.
  • Specialty in a converging domain
  • Development of data dashboards