What does the Unlocking Data-Driven Decision Making course cover?
Unlocking Data-Driven Decision Making is covered here in 7 modules: Introduction to Data-Driven Decision Making: role of data in higher education, Data Collection and Cleaning: Data sources and types, Data collection methods, Data Analysis and Visualization: Advanced data visualization techniques and 4 more.
How do you approach Unlocking Data-Driven Decision Making step by step?
The work is sequenced in 7 stages. It starts with Introduction to Data-Driven Decision Making: role of data in higher education, moves through Data Collection and Cleaning: Data sources and types, Data collection methods and Data Analysis and Visualization: Advanced data visualization techniques, and ends at capstone Project: Receiving feedback from instructors and peers.
What is in Module 1 of the Unlocking Data-Driven Decision Making course?
Module 1 is Introduction to Data-Driven Decision Making: role of data in higher education. It works through defining data-driven decision making, the role of data in higher education, benefits and challenges of data-driven decision making and 1 more. It sets the vocabulary the remaining 6 modules build on.
How is the Unlocking Data-Driven Decision Making course delivered?
The Unlocking 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 Unlocking Data-Driven Decision Making course cost?
The Unlocking 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.
Closely related courses: Higher Education Compliance Automation Playbook, Higher Education Security Compliance Playbook, Governance in Higher Education Transformation, Strategic Digital Transformation for Higher Education.
More answers: what you get with every course, refund policy, all help answers.
Unlocking Data-Driven Decision Making: Advanced Analytics and Visualization for Higher Education Professionals
Course Overview
This comprehensive course is designed to equip higher education professionals with the skills and knowledge needed to make data-driven decisions using advanced analytics and visualization techniques. Participants will learn how to collect, analyze, and interpret complex data sets, and communicate insights effectively to stakeholders.Course Objectives
- Understand the importance of data-driven decision making in higher education
- Learn advanced analytics and visualization techniques using tools such as Excel, Tableau, and Power BI
- Develop skills in data storytelling and presentation
- Apply data analysis to real-world problems in higher education
- Earn a Certificate of Completion issued by The Art of Service
Course Outline
Module 1. Introduction to Data-Driven Decision Making: role of data in higher education
- Defining data-driven decision making
- The role of data in higher education
- Benefits and challenges of data-driven decision making
- Introduction to data analysis tools and technologies
Module 2. Data Collection and Cleaning: Data sources and types, Data collection methods
- Data sources and types
- Data collection methods
- Data cleaning and preprocessing
- Handling missing data and outliers
Module 3. Data Analysis and Visualization: Advanced data visualization techniques
- Descriptive statistics and data visualization
- Inferential statistics and hypothesis testing
- Advanced data visualization techniques
- Using Excel, Tableau, and Power BI for data analysis and visualization
Module 4. Data Storytelling and Presentation: Principles of data storytelling
- Principles of data storytelling
- Effective communication of data insights
- Creating engaging presentations and reports
- Best practices for data visualization
Module 5. Applied Data Analysis in Higher Education: Using data to inform strategic planning
- Enrollment management and student success
- Academic program assessment and evaluation
- Institutional research and policy analysis
- Using data to inform strategic planning
Module 6. Advanced Analytics and Machine Learning: Using R and Python for advanced analytics
- Introduction to machine learning and predictive analytics
- Supervised and unsupervised learning techniques
- Using R and Python for advanced analytics
- Applications of machine learning in higher education
Module 7. Capstone Project: Receiving feedback from instructors and peers
- Applying data analysis and visualization skills to a real-world problem
- Developing a comprehensive report and presentation
- Receiving feedback from instructors and peers
Course Features
- Interactive and engaging learning environment
- Comprehensive and up-to-date course materials
- Personalized feedback and support from expert instructors
- Practical and real-world applications of data analysis and visualization
- Certificate of Completion issued by The Art of Service
- Flexible learning schedule and pace
- User-friendly and mobile-accessible course platform
- Community-driven discussion forums and networking opportunities
- Actionable insights and hands-on projects to apply learning
- Bite-sized lessons and lifetime access to course materials
- Gamification and progress tracking to stay motivated