D204 the Data Analytics Journey Questions and Answers 100% Solved
Look at the data. 1) Visualize the data - graphs, histograms, bell curve 2) Compute Univariate Descriptive Statistics: mean (average), mode (most common), median (splits into two equal halves). So ONE Value. 3) Measures of association: connection between the variables in your data. Range: high and low, Quartiles, Variance, Standard Deviation, Correlation coefficients, regression analysis. (this was the click to sales conversions question) Must be attentive to outliers, open-ended and undefined scores (screen data!) Use your words: explain describe Data Analytics Lifecyle per course requirements Discovery Phase (Business understanding) Data Acquisition Data Exploration Predictive Modeling Data Mining Data Reporting & Representation Data Analytics Lifecycle: Discovery This is where you identify business needs. Defining the business reason that any analysis is needed. Working with stakeholders to help them ask better questions so that both they and you understand the outcome. Do you have the data you need to answer this question? If not, is there another way to accomplish it with what you do have? Data Analytics Lifecycle: Data Acquisition Collect/Get Data from various sources and cleaning it. Getting Data may include creating SQL queries of data within the tables;
Document information
- Uploaded on
- October 23, 2023
- Number of pages
- 13
- Written in
- 2023/2024
- Type
- Exam (elaborations)
- Contains
- Questions & answers
