Mastering Performance Data Analysis with Spreadsheets and Dashboards
Course Overview This comprehensive course is designed to equip participants with the skills and knowledge required to master performance data analysis using spreadsheets and dashboards. Upon completion, participants will receive a Certificate of Completion issued by The Art of Service.
Course Curriculum Module 1: Introduction to Performance Data Analysis
- Understanding the importance of data analysis in performance management
- Defining performance data and its sources
- Identifying key performance indicators (KPIs)
- Overview of spreadsheets and dashboards in data analysis
Module 2: Spreadsheet Fundamentals
- Introduction to spreadsheet software (Microsoft Excel, Google Sheets)
- Basic spreadsheet operations (data entry, formatting, formulas)
- Using spreadsheet functions (SUM, AVERAGE, COUNT, etc.)
- Data visualization using charts and graphs
Module 3: Data Preparation and Cleaning
- Importing and exporting data from various sources
- Data cleaning and handling missing values
- Data transformation and formatting
- Using data validation and error handling techniques
Module 4: Data Analysis Techniques
- Descriptive statistics (mean, median, mode, etc.)
- Inferential statistics (confidence intervals, hypothesis testing)
- Data modeling using regression analysis
- Using pivot tables for data summarization
Module 5: Dashboard Design Principles
- Understanding dashboard design principles
- Identifying key elements of a dashboard (charts, tables, etc.)
- Best practices for dashboard layout and visualization
- Using color and other visual elements effectively
Module 6: Building Interactive Dashboards
- Introduction to dashboard software (Tableau, Power BI)
- Creating interactive dashboards using filters and drill-downs
- Using data visualization best practices
- Designing dashboards for different stakeholders
Module 7: Advanced Data Analysis Techniques
- Using advanced statistical techniques (time series analysis, etc.)
- Applying machine learning algorithms to performance data
- Using data mining techniques for insight discovery
- Conducting sensitivity analysis and scenario planning
Module 8: Storytelling with Data
- The importance of storytelling in data analysis
- Identifying key insights and findings
- Using narrative techniques to present data insights
- Creating effective data visualizations for storytelling
Module 9: Case Studies and Group Projects
- Real-world case studies in performance data analysis
- Group projects to apply course concepts to real-world scenarios
- Peer review and feedback
- Presenting findings and insights to stakeholders
Course Features - Interactive and engaging learning experience with hands-on projects and group work
- Comprehensive and up-to-date curriculum covering the latest tools and techniques
- Personalized support from expert instructors
- Flexible learning schedule to accommodate different time zones and learning styles
- User-friendly and mobile-accessible course platform
- Community-driven discussion forums for peer support and networking
- Actionable insights and hands-on experience with real-world applications
- Bite-sized lessons and lifetime access to course materials
- Gamification and progress tracking to motivate learners
Certificate of Completion Upon completing the course, participants will receive a Certificate of Completion issued by The Art of Service, recognizing their mastery of performance data analysis with spreadsheets and dashboards.,
Module 1: Introduction to Performance Data Analysis
- Understanding the importance of data analysis in performance management
- Defining performance data and its sources
- Identifying key performance indicators (KPIs)
- Overview of spreadsheets and dashboards in data analysis
Module 2: Spreadsheet Fundamentals
- Introduction to spreadsheet software (Microsoft Excel, Google Sheets)
- Basic spreadsheet operations (data entry, formatting, formulas)
- Using spreadsheet functions (SUM, AVERAGE, COUNT, etc.)
- Data visualization using charts and graphs
Module 3: Data Preparation and Cleaning
- Importing and exporting data from various sources
- Data cleaning and handling missing values
- Data transformation and formatting
- Using data validation and error handling techniques
Module 4: Data Analysis Techniques
- Descriptive statistics (mean, median, mode, etc.)
- Inferential statistics (confidence intervals, hypothesis testing)
- Data modeling using regression analysis
- Using pivot tables for data summarization
Module 5: Dashboard Design Principles
- Understanding dashboard design principles
- Identifying key elements of a dashboard (charts, tables, etc.)
- Best practices for dashboard layout and visualization
- Using color and other visual elements effectively
Module 6: Building Interactive Dashboards
- Introduction to dashboard software (Tableau, Power BI)
- Creating interactive dashboards using filters and drill-downs
- Using data visualization best practices
- Designing dashboards for different stakeholders
Module 7: Advanced Data Analysis Techniques
- Using advanced statistical techniques (time series analysis, etc.)
- Applying machine learning algorithms to performance data
- Using data mining techniques for insight discovery
- Conducting sensitivity analysis and scenario planning
Module 8: Storytelling with Data
- The importance of storytelling in data analysis
- Identifying key insights and findings
- Using narrative techniques to present data insights
- Creating effective data visualizations for storytelling
Module 9: Case Studies and Group Projects
- Real-world case studies in performance data analysis
- Group projects to apply course concepts to real-world scenarios
- Peer review and feedback
- Presenting findings and insights to stakeholders