Formats⟩Live Virtual: 4 hrs./day, 2 Days |In-Person: 6 hrs./day, 2 Days
In today's fast-paced business environment, effectively harnessing and interpreting data is crucial. Whether starting in business analytics or simply looking to brush up on specific areas. A follow-up to Data Analytics for Informed Decision-Making, this in-depth, 2-day course is structured to enhance your knowledge and provide actionable insights, empowering you to employ analytics in your work effectively. You will learn the essential elements that make up a data analysis project, including problem identification, data collection, and analysis methods. We will help you understand and implement a step-by-step guide for data and analytics.
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.
How to start your project correctly using stakeholders and scope.
Employ data visualization techniques.
Create a compelling data narrative.
Course Agenda
Collaborative Analytics Foundation
Core Principles for All Skill Levels
Essential Mental Framework
Skill Level Pathways
Excel as the Common Platform
Universal Analytics Use Cases
The Data Project Workflow
Setting the Stage
Data Projects Method
Benefits of Using Data Analysis
Questions & Stories
Asking Well-Crafted Questions
The First Decision in Data Storytelling
Key Principles of Data Stories
The Storyteller’s Primer
The Basics of Data Analytics
Data Types and Characteristics
Quantitative Data Examples
The Mixed Method Approach
Initial Data Analysis Consideration
Exploratory and Explanatory Analysis
Descriptive and Diagnostic Analytics
Predictive and Prescriptive Analytics
Data Projects
Individual vs. Team Project
Project Scope and Objectives
Better Objective Statements
Data Collection
Mixed-Method Data Collection
Surveys and Interviews
Focus Groups, Observations, and Tests
Extracting Data for Analysis
Data Table Primer
Cleaning and Organizing Workflow
Tabular vs. Cross Tabulated
Data Wrangling
Tools for Data Analysis
Excel Baker’s Dozen for Data Analysis
Making Your Analysis
Causation and Correlation
Crafting Your Data Story
Drafting Your Data Story
Data Visualizations
Best Practices for Data Visualizations
Finalizing Your Data Narrative
The Storyteller’s Primer
The Common Challenges of Storytelling
Data Analytics Project Training Course
Formats⟩Live Virtual: 4 hrs./day, 2 Days |In-Person: 6 hrs./day, 2 Days
In today's fast-paced business environment, effectively harnessing and interpreting data is crucial. Whether starting in business analytics or simply looking to brush up on specific areas. A follow-up to Data Analytics for Informed Decision-Making, this in-depth, 2-day course is structured to enhance your knowledge and provide actionable insights, empowering you to employ analytics in your work effectively. You will learn the essential elements that make up a data analysis project, including problem identification, data collection, and analysis methods. We will help you understand and implement a step-by-step guide for data and analytics.
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.
How to start your project correctly using stakeholders and scope.
Employ data visualization techniques.
Create a compelling data narrative.
Course Agenda
Collaborative Analytics Foundation
Core Principles for All Skill Levels
Essential Mental Framework
Skill Level Pathways
Excel as the Common Platform
Universal Analytics Use Cases
The Data Project Workflow
Setting the Stage
Data Projects Method
Benefits of Using Data Analysis
Questions & Stories
Asking Well-Crafted Questions
The First Decision in Data Storytelling
Key Principles of Data Stories
The Storyteller’s Primer
The Basics of Data Analytics
Data Types and Characteristics
Quantitative Data Examples
The Mixed Method Approach
Initial Data Analysis Consideration
Exploratory and Explanatory Analysis
Descriptive and Diagnostic Analytics
Predictive and Prescriptive Analytics
Data Projects
Individual vs. Team Project
Project Scope and Objectives
Better Objective Statements
Data Collection
Mixed-Method Data Collection
Surveys and Interviews
Focus Groups, Observations, and Tests
Extracting Data for Analysis
Data Table Primer
Cleaning and Organizing Workflow
Tabular vs. Cross Tabulated
Data Wrangling
Tools for Data Analysis
Excel Baker’s Dozen for Data Analysis
Making Your Analysis
Causation and Correlation
Crafting Your Data Story
Drafting Your Data Story
Data Visualizations
Best Practices for Data Visualizations
Finalizing Your Data Narrative
The Storyteller’s Primer
The Common Challenges of Storytelling
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