Building a data science team

Data Science for Business

Mari Nazary

VP Product & Learner Experience at the Lambda School

Members of your team

 

Data engineering

• Information architects
• Build storage solutions
• Maintain data access

Data engineering tools

• SQL
  • Storing large quantities of data
• Java, Scala, or Python
  • Programming languages for processing data and automating tasks

Data analysis

• Creating dashboards
• Hypothesis testing
• Data visualization

Data analysis tools

• Spreadsheets (Excel or Google Sheets)
  • Simple storage and analysis
• SQL
  • Large-scale analysis
• BI Tools (Tableau, Power BI, Looker)
  • Dashboarding and sharing information

Machine learning

• Predictions and extrapolations
• Classification
• Stock price prediction
• Image processing
• Automated text analysis

Machine learning tools

• Python and R
  • Programming languages for creating predictive models

Review: members of your team

Data Engineer	Data Analyst	Machine Learning Scientist
Store and maintain data	Visualize and describe data	Model and predict with data
SQL + Java/Scala/Python	SQL + BI Tools + Spreadsheets	Python/R

Data science team structure

• Isolated
• Embedded
• Hybrid

Team structure: isolated

Team structure: embedded

Team structure: hybrid

Let's practice!

Data Science for Business