Data Analysis Fundamentals Courses Include:

• Disruption +

  Identify hurdles to becoming a data-driven organization, analyze data practices in the organization, identify how data can benefit the organization, and distinguish how to be a proactive data practitioner.
  

• Business Analysis Principles +

  Identify the categories of analytical people and distinguish and define roles and responsibilities of professionals in data analysis.
  
  
  

• Data Driven Decision Making +

  Identify cultural barriers, distinguish solutions to cultural and cross-functional barriers, and identify six steps of the data-driven decision-making model.
  
  
  

• Ecosystem - Relational Databases +

  Identify the nature of relational databases recall the purpose of the SQL language, distinguish between the key aspects of ACID, and identify the meaning of ETL.
  

• Ecosystem - Not Only SQL +

  Distinguish between big data and other data storage tools, identify ways of interacting with MongoDB, and distinguish between document stores and graph stores.
  
  
  

• Ecosystem - Big Data +

  Identify key functions of big data technologies, determine the utility of Hadoop, and identify the purpose of MapReduce.
  
  
  

• Ecosystem - Statistical Tools, Machine Learning, and Data Visualization +

  Identify tools for statistical analysis, distinguish between Python and R for statistical analysis purposes, and identify purpose of machine learning, distinguish between visualization tools.
  
  
  

• Data Lifecycle Management +

  Identify the stages in the data life cycle, distinguish between ways that data enters the organization, identify the forms data takes as it is stored and used within the organization, and identify the stages in the data life cycle.
  

• Requirements Gathering +

  Analyze why requirement gathering process is critical to proper analysis, distinguish between the ways data is consumed (the three V’s of data), understand how requirement gathering fits with the development of a customer journey map, and distinguish between the stages of the customer journey map.