A Leader’s Toolkit: Data Analytics and Visualization
Master fundamental data analysis concepts, from data classification to regression analysis, empowering you to make informed decisions backed by statistical evidence.
$1699
Total: Certificate cost
20 Hours to complete
5 courses
Online - self-paced
Learning modality
Earn a credential
View credential
$1699
Total: Certificate cost
20 Hours to complete
5 courses
Online - self-paced
Learning modality
Earn a credential
View credential
$1699
Total: Certificate cost
20 Hours to complete
5 courses
Online - self-paced
Learning modality
Earn a credential
View credential
$1699
Total: Certificate cost
20 Hours to complete
Duration
Online - self-paced
Overview
Build comprehensive data literacy to make informed, strategic decisions that drive organizational success. This certificate equips learners with essential skills in data analysis, artificial intelligence (AI) and data visualization, preparing professionals to lead in a data-driven world.
Through five structured courses, participants will develop a strong foundation in analytics, explore the capabilities of machine learning and AI and learn to present data insights with clarity and impact. Designed to empower leaders and professionals across industries, this program provides practical tools to harness data for competitive advantage and sustainable growth.
Key Benefits:
- Data-driven decision-making across all leadership levels
- Advanced analytical and visualization techniques
- Ethical data practices and bias mitigation strategies
What's Included:
- Five progressive courses covering analysis, visualization and AI fundamentals
- Expert instruction from industry practitioners and academics
- Hands-on applications including A/B testing and experimentation
- Real-world business scenarios and case studies
Transform your leadership capability through evidence-based strategic thinking.
Courses within certificate
Learn how to plan, execute and analyze experiments to support evidence-based decision-making and organizational improvement. This course introduces learners to the fundamentals of experimental design, from basic A/B testing to more advanced experimentation strategies used to optimize processes and outcomes.
Participants will explore how to reduce uncertainty, avoid common pitfalls in hypothesis testing and apply experimental methods to real-world business scenarios. By the end of the course, learners will be equipped with the tools to design effective experiments that drive measurable, data-informed results.
Key Benefits:
- Design strategically aligned experiments with clear hypotheses
- Avoid common pitfalls in hypothesis testing
- Build organizational experimentation culture
What's Included:
- Expert guidance from Dr. Suman Bhattacharya, director of data science
- Statistical foundations for controlled experimentation
- Practical frameworks for business growth experimentation programs
- Advanced techniques beyond traditional A/B testing
Transform intuition-based decisions into validated, data-backed strategic choices.
Recommended resource
Try a free job simulation created by top companies to build skills relevant to this program.
Data Analytics Job Simulation
Take this free real-world job simulation to: Test drive a career/role and demonstrate skills to an employer.
Who this certificate is designed for
- Business leaders seeking data-driven decision-making capabilities
- Managers transitioning to analytics-informed leadership roles
- Project managers and name managers leveraging data insights
- Consultants advising on data strategy and implementation
- Professionals preparing for analytics leadership positions
- Anyone responsible for strategic planning using quantitative evidence
Outcomes
By the end of this certificate, you’ll be able to:
- Classify and analyze data using descriptive statistics and measurement scales
- Implement ethical data collection methods while identifying and minimizing biases
- Design and evaluate effective data visualizations for stakeholder communication
- Plan and execute strategic experiments using A/B testing methodologies
- Recognize machine learning and generative AI applications for business decisions
- Apply analytical frameworks to optimize processes and reduce decision uncertainty
Program support
Have additional questions?
Have a question? Reach out to certificatehelp@thunderbird.asu.edu for help.
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