Data Analytics

Data Analytics Certificate

Intro to Data Analytics – Operator Level (4 hours)

• Identify types of data for analysis
• Data collection for analysis 
• How to arrange data for analysis
• Understanding basic statistical measures
  • Central Tendency
  • Variation
• Understand the implications of variation
• Understanding and interpreting graphs

Basic Data Analytics (8 hours)

• Identify opportunities for improvement
• Creating charts for communication
• Creating a dashboard
• Calculate basic statistical measures within software 
• Data visualization

Intermediate Data Analytics (2 days)

• Calculating statistical measures
• Ensuring data accuracy
• Process capabilities
• Identify Trends
• Data driven decision making
• Types of software (Minitab, JMP, Power BI, Tableau, R)

Advanced Data Analytics (3 days)

• Regression with multiple outputs and inputs
• Hypothesis Testing
• Binary logistic regression
• Basic Designed Experimentation

 Specialty Analytics (2 – 3 days each)

• Advanced Designed Experimentation
• Forecasting and Reliability
• Process Simulation