DATA SCIENCE

Topics

• Data science
• Data Engineering
• Data Analytics

Data science

Data science is the systematic study of the structure and behavior of data to quantifiably understand past and current occurrences and predict the future behavior of that data.

Data Scientist Typical Traits

• Degree in a quantitative field
• Programmers
• Curious and tenacious personalities
• Previous experience: BI reporting, data analysis, and data-driven decision-making
• Interested in why over how: They are looking for the patterns and the correlations and the trends that, basically, indicate why something is happening, not how it's happening. They are looking to make predictions.
• Spends hours analyzing complex questions
• Data scientists derive insights from data, including big data (data from engineered systems). Big data just means data of many different structures, many different velocities, and many different varieties.
• Uncover correlations and accusations in business data to support business decision-making
• These people generate predictions from data and communicate predictions through data visualization

Data Scientist Typical Competencies

• STEM degree, with advanced math
• Coding: Python, R, SQL, Spark, machine learning

Data Engineering

Data engineering is the design, construction, and maintenance of data systems.

Data Engineer Typical Tasks

• Data engineers design systems to collect, handle, and store big datasets
• Data engineers build modular, scalable platforms for data processing
• These people design, build, and maintain systems that store and move big data

Data Engineer Typical Compentencies

• Computer science, Software engineering
• Coding: Java, C++, Python

Data Analytics

Data analytics are data products that describe data and how it behaves. These data products are generated from data analysis and visualization processes.

Analytics Specialist Typical Traits

• Use applications to analyze data
• Solid in basic math
• Understand the inner workings of a business very well
• Enjoys using data insights to improve business
• Not into deep analyses

Analytics Specialist Typical Tasks

• Generates predictive, prescriptive, and descriptive data insights.
• Uncover correlations and accusations in business data to support business decision-making.
• Deploys analytics technologies: analytics software applications.