In today's fast-paced business environment, effectively harnessing and interpreting data is crucial. Whether starting in business analytics or simply looking to improve certain areas. This in-depth 2-day course is structured to enhance your knowledge and provide actionable insights, empowering you to effectively employ analytics in your work. You will learn the essential elements of a data analysis project, including problem identification, data collection, and analysis methods. Learn how to interpret and implement a step-by-step guide for data and analytics for your organization and team.
Learning Objectives »
- Identify the critical components of a data analysis project.
- Navigate the data analysis project lifecycle.
- Formulate well-crafted questions to guide the analysis.
- Differentiate between types of data and analysis methods.
- Learn how to start your project correctly using stakeholders and scope.
- Employ data visualization techniques.
- Create a compelling data narrative.
Course Agenda »
Introduction to Data Analysis Projects
- Components of a Data Analysis Project
- The Data Analysis Project Lifecycle
- Data Project Case Study
Everything Begins with a Question
- Identifying Problems and Opportunities
- Asking a Well-Crafted Question
- Problem and Solution Statements
The Basics of Data Analytics
- Data Types
- Exploratory or Explanatory Analysis
- Primary and Secondary Data Sets
- Self-service or Assisted Data Sourcing
Data Analytics with Targeted Questions
- Descriptive
- Diagnostic
- Predictive
- Prescriptive
Building Blocks of a Successful Project
- Stakeholders Engagement
- Individual Project or Project Team
- Defining Project Scope
- Developing Project Objectives
Data Collection
- Surveys
- Interviews
- Focus Groups
- Observation
- Tests
ETL-The Data Analysis Workflow
- Extracting Data for Analysis
- Clean, Organize, and Shape Data
- Transforming Data for Efficient Analysis
- Tools For Data Analysis
Visualizing Your Data
- Fitting Your Visualization to Purpose
- Data Visualizations to Avoid
- Best Practices for Visualizations
Data Project Stories
- Why Data is Better with A Story
- Critical Elements of a Data Story
- The Data Narrative Structure