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Key topics covered include:

Overview

• Data Analytics
• Data Visualization
• Big Data
• Tools and Techniques

Planning a Data Analysis Project

• Establish an analytic objective – the business question.
• Develop an analysis plan.
• Choose an appropriate analytic approach – exploratory, explanatory, confirming, comparative.
• Define appropriate boundaries for the analysis.

Data Collection

• Identify the unit of analysis.
• Create operational definitions for the data.
• Identify and evaluate data sources.
• Determine how much historical data is required.
• Establish a data collection methodology.

Data Analysis

• Prepare the data for analysis
  • Multiple data sets, Missing data, Data Quality
• Become familiar with the data
  • Differentiating analysis of categorical and continuous data
  • Descriptive statistics
• Find trends and patterns

Recommendations

• Use data visualizations to communicate findings
• Develop recommendations supported by data

Course Objectives

• Frame a business question as an analytics question.
• Create an analysis plan that limits the scope to the core question.
• Collect data that is required – and appropriate – for answering the question.
• Apply appropriate analytic techniques and tools to analyse data, create statistical models, and identify insights that can lead to actionable results.
• Make recommendations, based on the analysis, to address the business.
• Select appropriate data visualizations to clearly communicate analytic insights to business sponsors and analytic audiences.