Data Strategy popular

Name: Data Strategy Course
Price: 36 USD

with Bernard Marr

4.8/5

(2,834)

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

6 hours of content 48570 students

$99.00

Lifetime access

Buy now

14-Day Money-Back Guarantee

What you get:

6 hours of content
2 Downloadable resources
Interactive exercises
World-class instructor
Closed captions
Q&A support
Future course updates
Course exam
Certificate of achievement

Data Strategy popular

A course by Bernard Marr

$99.00

Lifetime access

Buy now

14-Day Money-Back Guarantee

What you get:

6 hours of content
2 Downloadable resources
Interactive exercises
World-class instructor
Closed captions
Q&A support
Future course updates
Course exam
Certificate of achievement

$99.00

Lifetime access

Buy now

14-Day Money-Back Guarantee

What you get:

6 hours of content
2 Downloadable resources
Interactive exercises
World-class instructor
Closed captions
Q&A support
Future course updates
Course exam
Certificate of achievement

What You Learn

Improve business performance and help your company gain new revenue streams with comprehensive data strategy training
Align your organization’s business strategy with a coherent data strategy
Use data strategically to provide better services and products
Position your business to effectively monetize its data
Define, ask, and answer key business questions to enhance your firm’s data-driven decision-making
Consider important issues such as data quality, data ethics, data privacy, data ownership, data access and data security

Top Choice of Leading Companies Worldwide

Industry leaders and professionals globally rely on this top-rated course to enhance their skills.

Course Description

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.

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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

Interactive Exercises
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.

Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.

Curriculum

1. Introduction to Data Strategy

1 Lesson 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!
2 min
2. Deciding Your Strategic Data Needs

1 Lesson 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
5 min
3. Using Data to Improve Your Decisions

8 Lessons 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
2 min
Curated dashboards vs. self-service data exploration
4 min
Challenges related to self-service data exploration
5 min
Asking key business questions first (KBQs)
3 min
The power of clear Key Business Questions (KBQs)
4 min
How to ask the right Key Business Questions
8 min
Giving people access to data
2 min
Curating the most important data insights
2 min
4. Using Data to Understand Your Customers and Markets

5 Lessons 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
5 min
How this butcher uses data to understand customers
5 min
Netflix use case
6 min
Amazon use case
3 min
The increasing need for real-time data to understand customers and markets
4 min
5. Using Data to Provide More Intelligent Services

1 Lesson 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
6 min
6. Using Data to Make More Intelligent Products

1 Lesson 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
6 min
7. Using Data to Improve Your Business Processes

1 Lesson 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
7 min
8. Monetising Your Data

2 Lessons 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
4 min
The Shotspotter case study
3 min
9. Defining Your Data Use Cases

3 Lessons 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)
2 min
Defining data use cases walk through (part 2)
7 min
Defining data use cases walk through (part 3)
3 min
10. Sourcing and Collecting the Data

10 Lessons 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
2 min
Structured vs Semi-structured Data
4 min
Internal vs External Data
6 min
Different Types of Data
5 min
Meta Data
4 min
The Importance of Realtime Data
9 min
Gathering Internal Data
5 min
Accessing External Data
5 min
Sources of External Data
6 min
When the data you want doesn't exist
3 min
11. Data Governance

4 Lessons 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
3 min
To own or not to own
3 min
Ensuring the correct rights are in place
4 min
Case study on building trust
3 min
12. Turning Data into Insights

20 Lessons 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
1 min
Text analytics
3 min
Sentiment analytics
2 min
Image analytics
1 min
Video analytics
2 min
Voice analytics
2 min
Data mining
2 min
Business experiments
2 min
Visual analytics
2 min
Correlation Analysis
5 min
Regression Analysis
2 min
Scenario Analysis
4 min
Time series analysis
2 min
Monte carlo simulation
2 min
Linear programming
1 min
Cohort analysis
2 min
Factor analysis
2 min
Neural network analysis
4 min
Deep learning
2 min
Reinforcement learning
2 min
13. Creating the Technology and Data Infrastructure

11 Lessons 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
2 min
How to collect data
4 min
Database, Data warehouse, Data mart and Data lake
6 min
How to store data
4 min
How to process data
3 min
Communicating data
1 min
What is а KPI dashboard
4 min
How to design a KPI Dashboard
3 min
Reporting lessons from journalists
4 min
Using KPI dashboard software
2 min
Big data as a service
5 min
14. Building the Data Competencies in Your Organization

6 Lessons 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
1 min
Skills shortage
5 min
The skills needed for a data scientist
4 min
Building internal skills and competencies
3 min
Outsourcing your data analysis
3 min
Leadership challenges
5 min
15. Executing and Revisiting Your Strategy

6 Lessons 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
4 min
Why data strategies fail
8 min
Creating a data culture
3 min
Revisiting the data strategy
2 min
A changing business environment
3 min
Changing technology landscape
3 min
16. Looking Ahead

1 Lesson 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
3 min

Topics

TheoryBusiness analyticsdata analysis

Tools & Technologies

Course Requirements

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

Who Should Take This Course?

Level of difficulty: Beginner

Aspiring data analysts, data scientists, data engineers, machine learning engineers, and AI engineers
Business executives
Entrepreneurs
People who want to gain an overall understanding of the data science field and are interested to acquire solid data strategy skills

Exams and Certification

A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.

Meet Your Instructor

Bernard Marr

Best-Selling Author at

2 Courses

3110 Reviews

50825 Students

Bernard Marr is the author of 18 best-selling books. He also writes a regular column for Forbes and advises and coaches many of the world’s best-known organizations. He has 2 million followers on social media. A true authority when it comes to strategy, business performance, digital transformation, and the intelligent use of data in business! He has worked with and consulted some of the most impressive companies and organizations in the world: Accenture, AstraZeneca , Bank of England, Barclays, BP, Cisco, CRH, DHL, Fujitsu, Gartner, HSBC, IBM, Jaguar Land Rover, Mars, Ministry of Defence, Microsoft, NATO, The Home Office, NHS, Oracle, Orange, Tetley, T-Mobile, Toyota, Royal Air Force, SAP, Shell, the United Nations, Vodafone, Walmart, among many others.

What Our Learners Say

Stefan Komlenović

17.10.2024

Damonica Miller

17.10.2024

the exercise questions seem out of sequence for some of the lessons. For example, the first exercise under 'Using Data to Improve your Decision making' asks very specific question around developing KBQs (such as what is the first step/put all the steps in order for developing KBQs), but that content is the next section.