Megan V.
Before 365:
Medical scientist | Triumvira Ummonologics
After 365:
Director, Translational Medicine and Data Management | KaliVir Immunotherapeutics
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Online Course
popular
Data Strategy
with
Bernard Marr
Position your business for success with a coherent data strategy: Unlock the power of data-driven decision making
54249 students already have enrolled
Skill level:
Basic
Duration:
6 hours
-
Lessons (5 hours)
-
Practice exams (57 minutes)
- Lessons (5 hours)
- Practice exams (57 minutes)
CPE credits:
9
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
Accredited
certificate
What you learn
- Understand how to align business and data strategies.
- Apply data-driven decision-making frameworks.
- Build a practical data strategy for your organization.
- Practice with business and customer data.
- Analyze data to improve services, products, and processes.
Topics & tools
TheoryBusiness AnalyticsData AnalysisData LiteracyBusiness Skills
Your instructor
Best-selling author at Forbes | Founder & CEO of Bernard Marr & Co. | Top 5 business influencers
Track record
Bringing real-world expertise from leading global companies
Academic background
Other, Business, Engineering, and IT
Media and recognition
- 2022 Business Book of the Year
- LinkedIn's #1 Business influencer in the UK
- Contributor to Forbes and the World Economic Forum
Course OVERVIEW
Description
CPE Credits: 9
Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study
Delivery Method: QAS Self Study
Are you looking for a well-structured data strategy training?
Do you wish to learn from a leading expert in the field?
You’ve come to the right place. This is the perfect data strategy course you’ve been looking for!
Organizations must adopt data-driven decision-making to stay competitive in today's fast-paced markets—unfortunately, many struggle due to a lack of strategic data management and necessary skills.
This data strategy course teaches you how to align a company’s overall business strategy with a coherent data strategy that helps achieve its business goals. Differentiate your resume by acquiring the highly sought-after data strategy skills very few individuals possess.
The data strategy course is designed for business executives, entrepreneurs, and aspiring or current data professionals who are passionate about data and eager to improve business results. This training offers a unique opportunity to earn a data strategy certification—a testament to your expertise and the extra effort you’ve made to improve your business and data skills.
Bernard Marr—a globally recognized data and AI strategist, business consultant, and influencer—has authored over 20 best-selling books, regularly contributes to Forbes, and consults for renowned organizations worldwide. With over 4 million social media followers, LinkedIn ranks him among the top 5 business influencers globally.
Bernard’s Data Strategy course offers numerous real-world business examples based on the instructor's experience and interactive exercises to reinforce lesson concepts. Enhance your business performance by learning to:
- Define your strategic data needs
- Use data to enhance decision-making
- Leverage data for customer insights and improved products
- Improve business processes with data analysis
The data strategy training program covers essential topics every company needs to consider:
- Sourcing and collecting data with proper permissions
- Data governance
- Ethics
Discover how to develop data competencies in your organization and effectively implement your company’s data strategy.
What sets this data strategy course apart from others?
- Exceptional Content Quality
Our team has spent thousands of hours to create the best learning experience for you. We create content full-time, invest significant time to digest complex topics quickly, and design a pleasant learning journey you’ll enjoy. - Instructor Excellence
Bernard Marr is a dynamic speaker on data and AI strategy. He has worked with such clients as Google, HSBC, Intel, Oracle, Nvidia, Adobe, Microsoft, Amazon, BP, and Jaguar. His engaging teaching style and extensive real-world experience make him the perfect instructor. - Engaging Animations
One of the most effective ways to learn data strategy is through storytelling. Practical concepts are easier to grasp when illustrated with high-quality visuals. Our courses go beyond basic PowerPoint slides, featuring beautifully animated content. - Innovative Interactive Exercises
The interactive exercises on our platform are innovative—helping you solidify everything learned in the lessons. This data strategy course exemplifies learning by doing at its best. - Comprehensive Downloadable Material
From data strategy course notes to infographics and diagrams, this course contains plenty of downloadable resources you can reference once you’ve completed your learning journey.
Prerequisites
- No prior experience or knowledge is required. We will start from the basics and gradually build your understanding. Everything you need is included in the course
Advanced preparation
- None
Curriculum
81 lessons
53 exercises
4 exams
- 2. Deciding Your Strategic Data Needs5 min5 minHere, we delineate a framework of 5 strategic use case areas that use data to make fact-based decisions, gain customer and market insight, and offer better services and products.
- 3. Using Data to Improve Your Decisions30 min30 minThis section focuses on the 2 key elements in data-driven decision making: curated dashboards and self-service data exploration, as well as the challenges related to the latter. You will also learn how to ask the right Key Business Questions and curate the most valuable data insights.Section introduction FreeCurated dashboards vs. self-service data exploration FreeChallenges related to self-service data exploration FreeAsking key business questions first (KBQs) FreeExerciseThe power of clear Key Business Questions (KBQs) FreeHow to ask the right Key Business Questions FreeGiving people access to data FreeCurating the most important data insights FreeExercise
- 4. Using Data to Understand Your Customers and Markets23 min23 minIn this part of the course, we talk about the ways companies use data to gain a better understanding of their customers, pick up shifting consumer trends in the market, and predict customer behavior.
- 5. Using Data to Provide More Intelligent Services6 min6 minIn this section, you will learn more about the 3 ways businesses deliver a better service through data and AI: customization, providing customers with more value, and predicting customer needs.
- 6. Using Data to Make More Intelligent Products6 min6 minAs the customer demand for smart and AI-loaded products is reaching a new high, it is only logical to consider data as a means to improve a product. This section lifts the veil on the 4 huge benefits of smart products when it comes to adding value to a product-based business.
- 7. Using Data to Improve Your Business Processes7 min7 minData and AI-driven automation help companies make their business more efficient and more streamlined. Here, we illustrate the 7 ways data is transforming everyday business processes.
- 8. Monetising Your Data7 min7 minIn this part, we discuss the 2 main approaches to data monetization – creating value for your organization from data; and selling data to your customers or to other interested third parties. To illustrate, we’ve included the intriguing ShotSpotter case study.
- 9. Defining Your Data Use Cases12 min12 minIn this part, we will show you how to turn the key business use cases for data into a manageable data strategy, by walking you through the fundamental steps of the process.
- 10. Sourcing and Collecting the Data49 min49 minThe topic of this section is the art of automating data collection and using data strategically by identifying the best combination of data that fits your information needs.
- 11. Data Governance13 min13 minLearn about data quality, ethics, privacy, ownership, access and security. These are bound to be cross-cutting data governance issues that are the same across your different use cases.
- 12. Turning Data into Insights45 min45 minHere, we provide you with a brief overview of some exciting analytics techniques that will help you turn data into insights.Section introductionText analyticsSentiment analyticsImage analyticsVideo analyticsVoice analyticsExerciseData miningBusiness experimentsVisual analyticsCorrelation AnalysisExerciseRegression AnalysisScenario AnalysisTime series analysisMonte carlo simulationLinear programmingCohort analysisExerciseFactor analysisNeural network analysisDeep learningReinforcement learningExercise
- 13. Creating the Technology and Data Infrastructure38 min38 minThis section of the course is dedicated to data collection, data storage, data processing and analytics, data visualization, as well as the emerging new trend of buying big data as a service.Section introductionHow to collect dataDatabase, Data warehouse, Data mart and Data lakeHow to store dataHow to process dataCommunicating dataExerciseWhat is а KPI dashboardHow to design a KPI DashboardReporting lessons from journalistsUsing KPI dashboard softwareBig data as a serviceExercise
- 14. Building the Data Competencies in Your Organization21 min21 minThis chapter focuses on building and acquiring the necessary data competencies in your organization, as well as on overcoming the leadership challenges brought about by the intelligence revolution.
- 15. Executing and Revisiting Your Strategy23 min23 minThis is where we discuss how to put your data strategy into action, as well as the reasons why data strategies fail. We also talk about the ways to create a data culture and the importance of periodically revisiting your strategy and adapting it to a changing environment.
- 16. Looking Ahead3 min3 minThe ability to use data gives businesses and individuals the opportunity to tackle some of the world's biggest challenges in a way that wasn't possible before. In this final section, we’ll take a look at the best examples of how data can be the force for good.
- 17. Course exam35 min35 min
Free lessons
1.1 Welcome to the course!
2 min
2.1 Delineating the 5 strategic data use case areas
5 min
3.1 Section introduction
2 min
3.2 Curated dashboards vs. self-service data exploration
4 min
3.3 Challenges related to self-service data exploration
5 min
3.4 Asking key business questions first (KBQs)
3 min
9 in 10
people walk away career-ready
with practical data and AI skills.
$29,000
average salary increase
after moving to an AI and data science career
94%
of AI and data science graduates
successfully change
or advance their careers.
ACCREDITED certificates
Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global
institutions.
Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities
employers value most.
Certificates are included with the Self-Study learning plan.
How it WORKS
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