Online Course popular
Data Strategy

Name: Data Strategy Course
Price: 36 USD

with Bernard Marr

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

4.8

862 reviews on

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54,566 students already enrolled

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

Bernard Marr

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

Ask Bernard a question

Course overview

Accredited certificates

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?

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

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

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
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

Netflix use case

Amazon use case

The increasing need for real-time data to understand customers and markets

Practice exam
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

Exercise
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

Exercise
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

Exercise
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

The Shotspotter case study

Practice exam

Exercise
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)

Defining data use cases walk through (part 2)

Defining data use cases walk through (part 3)

Exercise
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

Structured vs Semi-structured Data

Internal vs External Data

Different Types of Data

Meta Data

Exercise

The Importance of Realtime Data

Gathering Internal Data

Accessing External Data

Sources of External Data

When the data you want doesn't exist

Exercise
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

To own or not to own

Ensuring the correct rights are in place

Case study on building trust

Exercise
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

Text analytics

Sentiment analytics

Image analytics

Video analytics

Voice analytics

Exercise

Data mining

Business experiments

Visual analytics

Correlation Analysis

Exercise

Regression Analysis

Scenario Analysis

Time series analysis

Monte carlo simulation

Linear programming

Cohort analysis

Exercise

Factor analysis

Neural network analysis

Deep learning

Reinforcement learning

Exercise
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

How to collect data

Database, Data warehouse, Data mart and Data lake

How to store data

How to process data

Communicating data

Exercise

What is а KPI dashboard

How to design a KPI Dashboard

Reporting lessons from journalists

Using KPI dashboard software

Big data as a service

Exercise
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

Skills shortage

The skills needed for a data scientist

Building internal skills and competencies

Outsourcing your data analysis

Leadership challenges

Exercise
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

Why data strategies fail

Creating a data culture

Revisiting the data strategy

A changing business environment

Changing technology landscape

Exercise
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

Practice exam
17. Course exam

35 min

35 min

Course exam

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

Start for free

I joined 365 Data Science to strengthen my skills in data science. Starting with the Python Bootcamp, I quickly learned the programming skills I needed for my job. The platform also helped me refresh my math and statistics and gain a solid foundation in machine learning. The courses are easy to follow, practical, and directly applicable to my work. I highly recommend 365 to anyone wanting to learn programming and data science—it’s a resource I recommend to friends, family, and colleagues.

Megan V.

Before 365: Medical scientist | Triumvira Ummonologics

After 365: Director, Translational Medicine and Data Management | KaliVir Immunotherapeutics

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9 in 10

people walk away career-ready

with practical data and AI skills.

My journey in data started during the pandemic, when I joined 365 Data Science. The well-organized roadmap took me from basic topics like SQL to advanced concepts, helping me transition from a beginner to a professional data engineer. I built strong foundations in Python and SQL, which launched my career in data analysis and engineering. Even now, 365 continues to boost my skills and career growth, thanks to its engaging and well-structured courses.

Nada A.

Before 365: Software Tester | Testing Geeks

After 365: Senior Data Engineer | VOIS

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$29,000

average salary increase

after moving to an AI and data science career

When I began my master’s program, I felt lost—statistical jargon was overwhelming, and Python and R seemed impossible. 365 Data Science changed that. The clear explanations, structured courses, and practical projects helped me build a solid foundation in statistics, programming, and SQL. I not only completed my degree but also advanced to a better role. 365 made complex topics approachable and gave me skills that boosted both my academic and professional growth.