Data-Driven Decision Making
Duration
11/6 (Mon) - 12/17 (Sun)
Course fee
350 USD
Blend live online classes with the flexibility of self-paced learning for a well-rounded education in data-driven decision making.
Perfect for those eager to sharpen their skills in business analytics, enhance their management abilities, or take their data-informed decision-making and problem-solving skills to the next level.
- Course Objectives
- Study Cycle
- Course Flow
- Meet the Faculty
- Course Schedule
How This Course Can Help You Block
01.
Learn to deliver more persuasive, data-driven solutions
Become adept at confidently presenting data-driven solutions. Our curriculum enhances your ability to dissect complex business problems and articulate persuasive solutions that captivate your management team.
02.
Gain fundamental analytical skills that can be applied in any business context
Broaden your skill set with our course focusing on universal analytic skills. Gain the flexibility to apply data-driven decision-making across any business context.
03.
Build confidence utilizing data through solving practical business problems
Gain confidence with real-world challenges. Our course provides hands-on experiences with practical business problems, ensuring you’re prepared for realistic data-driven scenarios.
Course Objectives
01.
Sharpen Your Problem-Solving Skills in Complex Business Scenarios
02.
Grasp the Foundation of Integrating Data Analytics in Business Decision-Making
03.
Begin Your Journey into Data Visualization
04.
Unlock the Power of Data: Introduction to Structured Analytics
05.
Navigate the Digital Landscape by Understanding Marketing Metrics
06.
Tackle Complex Issues with a Data-driven Mindset
Study Cycle
In this course, you will go through a study cycle each week to learn the basic concepts and put them into practice.
01.
02.
03.
04.
Course Flow

Develop a deeper understanding of how data fuels business success
A step-by-step approach to problem-solving with data


Unveiling insights through visualization and quantitative analysis
Gathering data, evaluating hypotheses, and analyzing outcomes


Harness aggregated data for informed decision-making
Putting it all together: applying the concepts to real-world scenarios


Develop a deeper understanding of how data fuels business success
A step-by-step approach to problem-solving with data


Unveiling insights through visualization and quantitative analysis
Gathering data, evaluating hypotheses, and analyzing outcomes


Harness aggregated data for informed decision-making
Putting it all together: applying the concepts to real-world scenarios

Meet the Faculty

Faculty: Jake Pratley
EDUCATION
Masters in Business Administration, GLOBIS University (MBA with Academic Excellence Award)
BA, Journalism, University of Queensland
PROFILE
Jake Pratley oversees faculty and content development for the English MBA programs at GLOBIS University. Working in education businesses for over 10 years, he has played leading roles in global expansion and product development. He has led diverse teams, fostered organizational change, launched new products, and developed strategic partnerships in Japan and globally.
In his prior role as head of student recruitment, Jake implemented data-driven processes and organizational change that led to record growth of the English MBA programs at GLOBIS University. He then restructured strategies to successfully adapt to the COVID-19 pandemic. Jake previously played a leading role in the successful launch of the school’s Online MBA. Prior to GLOBIS, Jake worked in public relations for a professional soccer club in Australia.
Jake holds a bachelor’s degree in journalism from the University of Queensland and an MBA from GLOBIS University, graduating with the Award for Academic Excellence in 2017.
Course Schedule
Total Course Duration: 6 weeks
11/6 (Mon) - 12/17 (Sun)
*All materials except the capstone case will be available until 12/31 (Sun)


Live Class:
Week 01 & Week 06
11/11 (Sat) + 12/16 (Sat)
*Class Time: 12:00 -13:30 Japan Standard Time
Live Group Work:
On any of the following days
Thu・Fri・Sat・Sun
*Some days will have multiple time slots
Capstone Case: Week 05 - Week 06
12/4 (Mon) - 12/17 (Sun)
*Submission deadline is until 12/24 (Sun)

Take The Next Step
Ready to take the next step? Check our application requirements and sign up here:
Want to learn more?
Sign up for a free online trial class to experience our unique learning model firsthand!