What does the Data-Driven Decision Making course cover?
Data-Driven Decision Making is covered here in 7 modules: Introduction to Data-Driven Decision Making: Defining data-driven decision making, Data Analysis Fundamentals: Data visualization best practices, Advanced Excel Analytics: Advanced pivot table techniques, Introduction to Power Pivot and DAX and 4 more. The outline lists 27 specific topics, opening with defining data-driven decision making and closing with course wrap-up and next steps.
How do you approach Data-Driven Decision Making step by step?
The work is sequenced in 7 stages. It starts with Introduction to Data-Driven Decision Making: Defining data-driven decision making, moves through Data Analysis Fundamentals: Data visualization best practices and Advanced Excel Analytics: Advanced pivot table techniques, Introduction to Power Pivot and DAX, and ends at Final Project and Assessment: Assessment and feedback, Course wrap-up and next steps.
What is in Module 1 of the Data-Driven Decision Making course?
Module 1 is Introduction to Data-Driven Decision Making: Defining data-driven decision making. It works through defining data-driven decision making, benefits and challenges of data-driven decision making, introduction to Excel and its role in data analysis and 1 more. It sets the vocabulary the remaining 6 modules build on.
How is the Data-Driven Decision Making course delivered?
The Data-Driven Decision Making course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Data-Driven Decision Making course cost?
The Data-Driven Decision Making course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
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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
- 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 visualization best practices
- 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, Introduction to Power Pivot and DAX
- 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
- 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
- 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: Applying data analysis to business problems
- 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: Assessment and feedback, Course wrap-up and next steps
- Final project: applying data analysis to a business problem
- Assessment and feedback
- Course wrap-up and next steps