Online Course popular free
Data Strategy

Position your business for success with a coherent data strategy: Unlock the power of data-driven decision making

4.9

870 reviews on
55,110 students already enrolled
  • Institute of Analytics
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Basic

Duration:

6 hours
  • 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

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

Course OVERVIEW

Description

CPE Credits: 9 Field of Study: Specialized Knowledge
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?

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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
  • 1. Introduction to Data Strategy
    2 min
    This section provides an overview of the importance of data strategy as a tool that enables any organization to make better-informed decisions, improve business processes and gain new revenue streams.
    2 min
    This section provides an overview of the importance of data strategy as a tool that enables any organization to make better-informed decisions, improve business processes and gain new revenue streams.
    Welcome to the course! Free
  • 2. Deciding Your Strategic Data Needs
    5 min
    Here, 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.
    5 min
    Here, 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.
    Delineating the 5 strategic data use case areas Free
    Exercise Free
  • 3. Using Data to Improve Your Decisions
    30 min
    This 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.
    30 min
    This 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 Free
    Curated dashboards vs. self-service data exploration Free
    Challenges related to self-service data exploration Free
    Asking key business questions first (KBQs) Free
    Exercise Free
    The power of clear Key Business Questions (KBQs) Free
    How to ask the right Key Business Questions Free
    Giving people access to data Free
    Curating the most important data insights Free
    Exercise Free
  • 4. Using Data to Understand Your Customers and Markets
    23 min
    In 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.
    23 min
    In 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.
    Section intro Free
    How this butcher uses data to understand customers Free
    Netflix use case Free
    Amazon use case Free
    The increasing need for real-time data to understand customers and markets Free
    Practice exam Free
  • 5. Using Data to Provide More Intelligent Services
    6 min
    In 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 min
    In 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.
    Using data to provide more intelligent services Free
    Exercise Free
  • 6. Using Data to Make More Intelligent Products
    6 min
    As 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.
    6 min
    As 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.
    Using data to make more intelligent products Free
    Exercise Free
  • 7. Using Data to Improve Your Business Processes
    7 min
    Data 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.
    7 min
    Data 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.
    Using data to improve your business processes Free
    Exercise Free
  • 8. Monetising Your Data
    7 min
    In 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.
    7 min
    In 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.
    Monetising your data - intro Free
    The Shotspotter case study Free
    Practice exam Free
    Exercise Free
  • 9. Defining Your Data Use Cases
    12 min
    In 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.
    12 min
    In 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.
    Defining data use cases walk through (part 1) Free
    Defining data use cases walk through (part 2) Free
    Defining data use cases walk through (part 3) Free
    Exercise Free
  • 10. Sourcing and Collecting the Data
    49 min
    The 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.
    49 min
    The 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.
    Section introduction Free
    Structured vs Semi-structured Data Free
    Internal vs External Data Free
    Different Types of Data Free
    Meta Data Free
    Exercise Free
    The Importance of Realtime Data Free
    Gathering Internal Data Free
    Accessing External Data Free
    Sources of External Data Free
    When the data you want doesn't exist Free
    Exercise Free
  • 11. Data Governance
    13 min
    Learn 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.
    13 min
    Learn 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.
    Section introduction Free
    To own or not to own Free
    Ensuring the correct rights are in place Free
    Case study on building trust Free
    Exercise Free
  • 12. Turning Data into Insights
    45 min
    Here, we provide you with a brief overview of some exciting analytics techniques that will help you turn data into insights.
    45 min
    Here, we provide you with a brief overview of some exciting analytics techniques that will help you turn data into insights.
    Section introduction Free
    Text analytics Free
    Sentiment analytics Free
    Image analytics Free
    Video analytics Free
    Voice analytics Free
    Exercise Free
    Data mining Free
    Business experiments Free
    Visual analytics Free
    Correlation Analysis Free
    Exercise Free
    Regression Analysis Free
    Scenario Analysis Free
    Time series analysis Free
    Monte carlo simulation Free
    Linear programming Free
    Cohort analysis Free
    Exercise Free
    Factor analysis Free
    Neural network analysis Free
    Deep learning Free
    Reinforcement learning Free
    Exercise Free
  • 13. Creating the Technology and Data Infrastructure
    38 min
    This 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.
    38 min
    This 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 introduction Free
    How to collect data Free
    Database, Data warehouse, Data mart and Data lake Free
    How to store data Free
    How to process data Free
    Communicating data Free
    Exercise Free
    What is а KPI dashboard Free
    How to design a KPI Dashboard Free
    Reporting lessons from journalists Free
    Using KPI dashboard software Free
    Big data as a service Free
    Exercise Free
  • 14. Building the Data Competencies in Your Organization
    21 min
    This 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.
    21 min
    This 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.
    Section introduction Free
    Skills shortage Free
    The skills needed for a data scientist Free
    Building internal skills and competencies Free
    Outsourcing your data analysis Free
    Leadership challenges Free
    Exercise Free
  • 15. Executing and Revisiting Your Strategy
    23 min
    This 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.
    23 min
    This 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.
    Putting the data strategy into action Free
    Why data strategies fail Free
    Creating a data culture Free
    Revisiting the data strategy Free
    A changing business environment Free
    Changing technology landscape Free
    Exercise Free
  • 16. Looking Ahead
    3 min
    The 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.
    3 min
    The 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.
    Using data for good Free
    Practice exam Free
  • 17. Course exam
    35 min
    35 min
    Course exam Free

Free lessons

Welcome to the course!

1.1 Welcome to the course!

2 min

Delineating the 5 strategic data use case areas

2.1 Delineating the 5 strategic data use case areas

5 min

Section introduction

3.1 Section introduction

2 min

Curated dashboards vs. self-service data exploration

3.2 Curated dashboards vs. self-service data exploration

4 min

Challenges related to self-service data exploration

3.3 Challenges related to self-service data exploration

5 min

Asking key business questions first (KBQs)

3.4 Asking key business questions first (KBQs)

3 min

Start for free

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.

  • Institute of Analytics
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners
A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice exams
  • AI mock interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice exams

Track your progress and solidify your knowledge with regular practice exams.

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AI mock interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.