Mastering Data-Driven Decision Making: Unlocking Business Growth through Advanced Excel Analytics and Visualization
Certificate Program Upon completion of this course, participants will receive a certificate issued by The Art of Service.
Course Overview This comprehensive course is designed to equip business professionals with the skills to make data-driven decisions using advanced Excel analytics and visualization techniques. Participants will learn how to unlock business growth by mastering data analysis, visualization, and interpretation.
Course Features - Interactive and engaging learning experience
- Comprehensive and personalized curriculum
- Up-to-date and practical content
- Real-world applications and case studies
- High-quality content and expert instructors
- Certificate of Completion issued by The Art of Service
- Flexible learning schedule and user-friendly platform
- Mobile-accessible and community-driven
- Actionable insights and hands-on projects
- Bite-sized lessons and lifetime access
- Gamification and progress tracking features
Course Outline Module 1: Introduction to Data-Driven Decision Making
- Defining data-driven decision making
- Benefits and challenges of data-driven decision making
- Introduction to Excel and its role in data analysis
- Setting up the Excel environment for data analysis
Module 2: Data Analysis Fundamentals
- Data types and structures in Excel
- Data cleaning and preprocessing techniques
- Data visualization best practices
- Introduction to pivot tables and dashboards
Module 3: Advanced Excel Analytics
- Advanced pivot table techniques
- Using Power Query for data manipulation
- Introduction to Power Pivot and DAX
- Advanced charting and visualization techniques
Module 4: Data Visualization and Storytelling
- Principles of effective data visualization
- Using color and formatting to enhance visualizations
- Creating interactive dashboards with Power BI
- Storytelling with data and visualization
Module 5: Advanced Data Analysis Techniques
- Introduction to regression analysis
- Using Solver for optimization problems
- Advanced statistical analysis with Excel
- Using machine learning algorithms in Excel
Module 6: Case Studies and Real-World Applications
- Real-world examples of data-driven decision making
- Case studies of successful data analysis projects
- Applying data analysis to business problems
- Best practices for implementing data-driven decision making
Module 7: Final Project and Assessment
- Final project: applying data analysis to a business problem
- Assessment and feedback
- Course wrap-up and next steps
Certificate of Completion Upon completing all course modules and the final project, participants will receive a Certificate of Completion issued by The Art of Service.
Course Features - Interactive and engaging learning experience
- Comprehensive and personalized curriculum
- Up-to-date and practical content
- Real-world applications and case studies
- High-quality content and expert instructors
- Certificate of Completion issued by The Art of Service
- Flexible learning schedule and user-friendly platform
- Mobile-accessible and community-driven
- Actionable insights and hands-on projects
- Bite-sized lessons and lifetime access
- Gamification and progress tracking features
Course Outline Module 1: Introduction to Data-Driven Decision Making
- Defining data-driven decision making
- Benefits and challenges of data-driven decision making
- Introduction to Excel and its role in data analysis
- Setting up the Excel environment for data analysis
Module 2: Data Analysis Fundamentals
- Data types and structures in Excel
- Data cleaning and preprocessing techniques
- Data visualization best practices
- Introduction to pivot tables and dashboards
Module 3: Advanced Excel Analytics
- Advanced pivot table techniques
- Using Power Query for data manipulation
- Introduction to Power Pivot and DAX
- Advanced charting and visualization techniques
Module 4: Data Visualization and Storytelling
- Principles of effective data visualization
- Using color and formatting to enhance visualizations
- Creating interactive dashboards with Power BI
- Storytelling with data and visualization
Module 5: Advanced Data Analysis Techniques
- Introduction to regression analysis
- Using Solver for optimization problems
- Advanced statistical analysis with Excel
- Using machine learning algorithms in Excel
Module 6: Case Studies and Real-World Applications
- Real-world examples of data-driven decision making
- Case studies of successful data analysis projects
- Applying data analysis to business problems
- Best practices for implementing data-driven decision making
Module 7: Final Project and Assessment
- Final project: applying data analysis to a business problem
- Assessment and feedback
- Course wrap-up and next steps
Certificate of Completion Upon completing all course modules and the final project, participants will receive a Certificate of Completion issued by The Art of Service.
Module 1: Introduction to Data-Driven Decision Making
- Defining data-driven decision making
- Benefits and challenges of data-driven decision making
- Introduction to Excel and its role in data analysis
- Setting up the Excel environment for data analysis
Module 2: Data Analysis Fundamentals
- Data types and structures in Excel
- Data cleaning and preprocessing techniques
- Data visualization best practices
- Introduction to pivot tables and dashboards
Module 3: Advanced Excel Analytics
- Advanced pivot table techniques
- Using Power Query for data manipulation
- Introduction to Power Pivot and DAX
- Advanced charting and visualization techniques
Module 4: Data Visualization and Storytelling
- Principles of effective data visualization
- Using color and formatting to enhance visualizations
- Creating interactive dashboards with Power BI
- Storytelling with data and visualization
Module 5: Advanced Data Analysis Techniques
- Introduction to regression analysis
- Using Solver for optimization problems
- Advanced statistical analysis with Excel
- Using machine learning algorithms in Excel
Module 6: Case Studies and Real-World Applications
- Real-world examples of data-driven decision making
- Case studies of successful data analysis projects
- Applying data analysis to business problems
- Best practices for implementing data-driven decision making
Module 7: Final Project and Assessment
- Final project: applying data analysis to a business problem
- Assessment and feedback
- Course wrap-up and next steps