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Beginnt 4 June 2026 05:03

Endet 4 June 2026

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University of Tokyo

Business Analytics for Data-Driven Decision Making

In today's digital economy, the ability to make data-driven decisions is a crucial aspect of managerial and leadership roles. It's been proven that companies practicing Data-Driven Decision Management benefit from significant productivity improvements compared to others. Understanding the comprehensive process of making informed decisions with data.
University of Tokyo via edX

University of Tokyo

1 Kurse


The University of Tokyo is one of the world's premier research universities, renowned internationally for its outstanding contributions in research, teaching, and education. It provides undergraduate and graduate programs in all significant fields, encompassing science, engineering, humanities, law, and medicine.

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Übersicht

In today's digital economy, the ability to make data-driven decisions is a crucial aspect of managerial and leadership roles. It's been proven that companies practicing Data-Driven Decision Management benefit from significant productivity improvements compared to others.

Understanding the comprehensive process of making informed decisions with data can provide a competitive edge, whether performing analysis yourself or leading teams of business analysts and data scientists.

This course, part of the Digital Leadership and Digital Product Management MicroMasters programs offered by the University of Tokyo through edX, equips you with the necessary tools and techniques to thrive as an evidence-based manager. You'll delve into transforming business queries into data inquiries, discovering and collecting pertinent data, and integrating and purifying that data for analysis.

Furthermore, this course teaches how to analyze the data, interpret and communicate insights, and foster a managerial culture adept at leveraging data to gain competitive advantages.

Distinctively tailored for managers in analytically driven enterprises, this course offers a hands-on introduction to business analytics concepts, methods, and processes. Moreover, it highlights the strategic use of analytics to foster a competitive edge.

Software Requirements:

Participants must utilize Microsoft Power BI Desktop to complete the course.

It is noteworthy that Power BI Desktop is unavailable for macOS or Linux. We recommend securing access to a Windows environment.

For those unable to, we provide instructions for running Power BI Desktop through a virtual Windows platform on macOS or Linux.

This educational offering falls under multiple categories, including Data Analysis Courses, Business Intelligence Courses, and Data Cleaning Courses, highlighting its comprehensive coverage of essential skills in the data and analytics sphere.


Unterrichtet von

John W. Byers, Chris Dellarocas and Andrei Lapets


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