Moving to another question will save this response. Question 1 Predictive Analytics & Data Mining Measures and KPIs are commonly defined within the OLAP schema to enable Bl reporting on defined metrics Refers to a combination of analytical and machine learning techniques used for drawing inferences and insight out of data None of the above Focuses on using a consistent set of metrics to measure past performance and inform business planning A Moving to another question will save this response. MacB L Moving to another question will save this response. Question 2 In Phase 2, for what is data visualization commonly used? Data modeling Variable selection Data conditioning Data Exploration L Moving to another question will save this response. Moving to another question will save this response. Question 3 After which phase of the analytics lifecycle should be able to assess the benefits? Data preparation Operationalize Discovery Communicate Results Moving to another question will save this response. Moving to another question will save this response. Question 4 The quantitative skill of a data scientist means to have: Passionate about data and finding creative ways to solve problems Skills in math and statistics Machine learning skills All of the above A Moving to another question will save this response. A Moving to another question will save this response. Question 5 In which phase of the analytics lifecycle would you judge the model quality? Operationalize Discovery O Data preparation Communicate Results A Moving to another question will save this response. A Moving to another question will save this response. Question 6 In which phase of the analytics lifecycle would you expect to spend most of the project time? Discovery Communicate Results Data preparation Operationalize A Moving to another question will save this response. Moving to another question will save this response. Question 1 Predictive Analytics & Data Mining Measures and KPIs are commonly defined within the OLAP schema to enable Bl reporting on defined metrics Refers to a combination of analytical and machine learning techniques used for drawing inferences and insight out of data None of the above Focuses on using a consistent set of metrics to measure past performance and inform business planning A Moving to another question will save this response. MacB L Moving to another question will save this response. Question 2 In Phase 2, for what is data visualization commonly used? Data modeling Variable selection Data conditioning Data Exploration L Moving to another question will save this response. Moving to another question will save this response. Question 3 After which phase of the analytics lifecycle should be able to assess the benefits? Data preparation Operationalize Discovery Communicate Results Moving to another question will save this response. Moving to another question will save this response. Question 4 The quantitative skill of a data scientist means to have: Passionate about data and finding creative ways to solve problems Skills in math and statistics Machine learning skills All of the above A Moving to another question will save this response. A Moving to another question will save this response. Question 5 In which phase of the analytics lifecycle would you judge the model quality? Operationalize Discovery O Data preparation Communicate Results A Moving to another question will save this response. A Moving to another question will save this response. Question 6 In which phase of the analytics lifecycle would you expect to spend most of the project time? Discovery Communicate Results Data preparation Operationalize A Moving to another question will save this response