Data analytics is transforming the way businesses operate. But organizations often struggle with identifying opportunities for data-driven decision making and defining a clear analytics project plan to tackle them. This beginner-level specialization aims to help business leaders, managers, analysts, and data scientists become better at successfully ideating, refining, planning, and executing data analytics projects as a team. This specialization will help learners develop these skills through four courses that demonstrate the design sprint process for different types of analytics projects. Each course will have 3 key components: fundamental concepts, use cases, problem identification, and solutioning to develop analytics project ideas.



Analytics Project Ideation Specialization
Be a Leader of Data Analytics Initiatives. Master methods to ideate & define impactful data analytics projects.

Instructor: Soumya Sen
Included with 
Recommended experience
Recommended experience
What you'll learn
Identify opportunities for data analytics. Learn fundamental methods in data analytics. Use teamwork to ideate data analytics projects.
Overview
Skills you'll gain
- A/B Testing
- Advanced Analytics
- Process Mapping
- Problem Solving
- Analytical Skills
- Operations Research
- Research Design
- Ideation
- Applied Machine Learning
- Critical Thinking
- Project Design
- Customer Analysis
- Data Mining
- Experimentation
- Simulations
- Business Analytics
- Predictive Analytics
- Business Analysis
- Exploratory Data Analysis
- Design Thinking
What’s included

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Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from University of Minnesota

Specialization - 4 course series
What you'll learn
Skills you'll gain
What you'll learn
Skills you'll gain
What you'll learn
Skills you'll gain
What you'll learn
Skills you'll gain
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Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Frequently asked questions
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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Financial aid available,

