Introduction to Fundamental Skills for Data Work: Data Strategy and Planning

Develop strategic leadership capabilities to guide data-driven decision-making and build high-performing organizations. Master the art of data storytelling, learn to manage data teams effectively, and understand how to leverage AI for competitive advantage. These courses benefit senior analysts, data leaders, and executives who need to drive organizational transformation through data initiatives while maximizing return on data investments.

Approach data initiatives and decisions strategically.
Develop data strategies to align with business goals.
Establish a strong foundation in data-driven decision-making.

Syllabus

Courses under this program:
Course 1: Data Literacy: Exploring and Describing Data
-Learn the fundamentals of data fluency and how data can help you make better decisions.

Course 2: Decision Intelligence: Data Stories
-Learn how to use key lessons from famous data stories around the world to improve decision-making, interpret data effectively, and communicate insights responsibly.

Course 3: Decision Intelligence
-Learn leadership and decision-making skills that will help you thrive in a data-driven world.

Course 4: AI Fundamentals for Data Professionals
-Discover the fundamental skills, tools, and concepts of AI in this course designed for data professionals.

Course 5: Using AI to Improve Ops for Your Data Organization
-This course demonstrates how to implement AI strategies in order to improve operations, efficiency, and productivity at data-centric organizations.

Course 6: The 80/20 Rule of Data Science
-Explore the core concepts of the 80/20 rule for data science and how to get most of the value with minimal effort.

Course 7: Data Science Team Lifecycle Management
-Discover strategies and best practices for recruiting, developing, and retaining data science and engineering teams.

Course 8: Enhancing Your Productivity as a Data Scientist with Generative AI
-Learn how to use generative AI techniques to improve every stage of your data science workflow and increase your productivity and capabilities as a data scientist.

Course 9: Data-Informed Strategic Thinking for Senior Analysts and Data Scientists
-Learn how to collaborate with business leaders and present data analytic solutions in non-scientific business language, to ensure your data-informed recommendations lead to action!

Course 10: Synthetic Data as the Future of AI Privacy, Explainability, and Fairness: An Introduction for Data Scientists and Data Executives
-Get up to speed on the fundamentals of AI-generated synthetic data: what it is, why it is needed, how it is created, and how you can start using it.

Taught by

Barton Poulson, PhD, Franz Buscha, Cassie Kozyrkov, Sadie St. Lawrence, Priya Ranjani Mohan, Howard Friedman, Angel E., Tobias Zwingmann, Paul Thurman, DBA and Alexandra Ebert