What does the Data-Driven Decision Making for Economic Development course cover?
Data-Driven Decision Making for Economic Development is covered here in 8 modules: Introduction to Data-Driven Decision Making: Defining data-driven decision making, Data Collection and Management: Data sources: primary and secondary, Data Analysis and Visualization: Best practices for, Tools for : Excel, Tableau, and Power BI and 5 more.
How do you approach Data-Driven Decision Making for Economic Development step by step?
The work is sequenced in 8 stages. It starts with Introduction to Data-Driven Decision Making: Defining data-driven decision making, moves through Data Collection and Management: Data sources: primary and secondary and Data Analysis and Visualization: Best practices for, Tools for : Excel, Tableau, and Power BI, and ends at Data-Driven Decision Making in Practice.
What is in Module 1 of the Data-Driven Decision Making for Economic Development course?
Module 1 is Introduction to Data-Driven Decision Making: Defining data-driven decision making. It works through defining data-driven decision making, benefits of data-driven decision making, challenges and limitations of data-driven decision making and 1 more. It sets the vocabulary the remaining 7 modules build on.
How is the Data-Driven Decision Making for Economic Development course delivered?
The Data-Driven Decision Making for Economic Development 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 for Economic Development course cost?
The Data-Driven Decision Making for Economic Development 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.
Closely related courses: Strategic Economic Development, Data-Driven Decision Making, Strategic Digital Transformation, Strategic Development and Sustainable Finance.
More answers: what you get with every course, refund policy, all help answers.
Data-Driven Decision Making for Economic Development Professionals: Leveraging Analytics for Sustainable Growth and Community Impact
Certificate Program Overview
Upon completion of this comprehensive course, participants will receive a certificate issued by The Art of Service. This course is designed to equip economic development professionals with the skills and knowledge needed to make data-driven decisions that drive sustainable growth and community impact.Course Features
- Interactive and Engaging: This course includes interactive elements, such as gamification, progress tracking, and hands-on projects, to keep learners engaged and motivated.
- Comprehensive and Personalized: The course covers a wide range of topics, and learners can tailor their learning experience to their individual needs and goals.
- Up-to-date and Practical: The course content is regularly updated to reflect the latest trends and best practices in data-driven decision making for economic development.
- Real-world Applications: Learners will have the opportunity to apply theoretical concepts to real-world scenarios, making the learning experience more relevant and effective.
- High-quality Content: The course features high-quality content developed by expert instructors with extensive experience in data-driven decision making for economic development.
- Certification: Upon completion of the course, learners will receive a certificate issued by The Art of Service, demonstrating their expertise in data-driven decision making for economic development.
- Flexible Learning: The course is designed to accommodate different learning styles and schedules, allowing learners to complete the course at their own pace.
- User-friendly and Mobile-accessible: The course is delivered through a user-friendly online platform that is accessible on desktop, tablet, and mobile devices.
- Community-driven: Learners will have access to a community of peers and experts, providing opportunities for networking, collaboration, and support.
- Actionable Insights: The course provides actionable insights and practical tools that learners can apply immediately in their work.
- Hands-on Projects: Learners will have the opportunity to work on hands-on projects that allow them to apply theoretical concepts to real-world scenarios.
- Bite-sized Lessons: The course is divided into bite-sized lessons, making it easy for learners to fit the course into their busy schedules.
- Lifetime Access: Learners will have lifetime access to the course materials, allowing them to review and refresh their knowledge as needed.
Course Outline
Module 1. Introduction to Data-Driven Decision Making: Defining data-driven decision making
- Defining data-driven decision making
- Benefits of data-driven decision making
- Challenges and limitations of data-driven decision making
- Best practices for implementing data-driven decision making
Module 2. Data Collection and Management: Data sources: primary and secondary
- Types of data: qualitative and quantitative
- Data sources: primary and secondary
- Data collection methods: surveys, focus groups, and interviews
- Data management: cleaning, storing, and retrieving data
Module 3. Data Analysis and Visualization: Best practices for, Tools for : Excel, Tableau, and Power BI
- Types of data analysis: descriptive, inferential, and predictive
- Data visualization: charts, graphs, and maps
- Tools for data analysis and visualization: Excel, Tableau, and Power BI
- Best practices for data analysis and visualization
Module 4: Economic Development Indicators and Metrics
- Types of economic development indicators: economic, social, and environmental
- Metrics for measuring economic development: GDP, unemployment rate, and poverty rate
- Data sources for economic development indicators: government reports, surveys, and administrative data
- Best practices for selecting and using economic development indicators
Module 5. Community Engagement and Participation: Best practices for
- Importance of community engagement and participation in economic development
- Methods for community engagement and participation: public meetings, surveys, and focus groups
- Tools for community engagement and participation: social media, online platforms, and participatory budgeting
- Best practices for community engagement and participation
Module 6. Collaborative Governance and Partnerships: Importance of in economic development
- Importance of collaborative governance and partnerships in economic development
- Types of partnerships: public-private, public-public, and community-based
- Best practices for building and maintaining partnerships
- Tools for collaborative governance and partnerships: MOUs, partnership agreements, and collaborative planning
Module 7. Sustainable and Inclusive Economic Development: Strategies for promoting
- Principles of sustainable and inclusive economic development
- Strategies for promoting sustainable and inclusive economic development
- Indicators and metrics for measuring sustainable and inclusive economic development
- Best practices for implementing sustainable and inclusive economic development
Module 8: Data-Driven Decision Making in Practice
- Case studies of data-driven decision making in economic development
- Best practices for implementing data-driven decision making in economic development
- Challenges and limitations of data-driven decision making in economic development
- Future directions for data-driven decision making in economic development