Data-Driven Decision Making for Leaders

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Data-Driven Decision Making for Leaders

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·10h ago
Data is now one of the most powerful resources available to leaders, but only if you know how to use it. In this course, you'll develop the practical skills and frameworks needed to become a more data-savvy leader, able to assess the quality, volume, and timeliness of data and apply it confidently to real-world decision-making. The need for these skills has never been greater. With 82% of decision-makers now expecting basic data literacy from employees across every department, yet only 39% of organisations making data training available to all staff (Forrester Consulting/Tableau, 2022), the gap between expectation and capability represents a significant opportunity for leaders who invest in this area. You'll gain a practical understanding of the data deluge facing modern organisations, explore what can and cannot be managed within it, and apply a multi-stage decision-making framework designed to simplify complex projects in volatile and uncertain environments. By the end of this course, you'll be equipped to critically evaluate how data — and its limitations — should shape leadership decisions in the 21st century. This course is suitable for current or aspiring leaders and managers who want to strengthen their data literacy and decision-making capabilities. No prior technical knowledge is required. References: Forrester Consulting. (2022). Building data literacy: The key to better decisions, greater productivity, and data-driven organizations [Commissioned study on behalf of Tableau]. Tableau. https://www.tableau.com/sites/default/files/2022-03/Forrester_Building_Data_Literacy_Tableau_Mar2022.pdf
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Google Tag Manager Is Moving Toward a More Unified Tagging Structure. Here’s Why That Matters
Google Tag Manager is moving towards a unified tagging structure, streamlining data collection and analysis
Medium · Data Science
Data Has Its Own Three-Body Problem
Data's complexity can be likened to the Three-Body Problem in physics, making it challenging to analyze and understand, which is crucial for effective data science and decision-making
Medium · AI
Data Has Its Own Three-Body Problem
Data's complexity is likened to the three-body problem in astrophysics, making it challenging to predict and manage, and this article explores this concept and its implications for data engineers and scientists
Medium · Machine Learning
Building realistic electric transmission grid dataset at scale: a pipeline from open dataset
Learn how to build a realistic electric transmission grid dataset at scale using an open dataset pipeline, crucial for modern power systems research
Microsoft Research
Up next
Declarative Charts in Python & Discerning Iterators vs Iterables | Real Python Podcast #294
Real Python
Watch →