Data Strategy

Name: Data Strategy Course
Price: 36 USD

with Bernard Marr

4.8/5

(2722)

Giving you the knowledge to leverage the value of data to position any business for success. Complete with a myriad of real-life scenarios and case studies.

6 hours 81 lessons

Start course

81 High Quality Lessons

3 Practical Tasks

6 Hours of Content

Certificate of Achievement

Course Overview

The Data Strategy Course is a truly comprehensive course designed for business owners, business executives, and aspiring or current data practitioners who want to be able to leverage the value of business data. Packed with real-world scenarios, this course will provide context to help you understand why data is one of the most important assets for any business and give you the tools to turn data into insights.

Topics covered

Business analyticsdata analysisTheory

What You'll Learn

The Data Strategy course is the ultimate tool for anyone who wants to build a successful business career. The course will help you understand why data is one of the most essential assets for any business organization.

How to improve business processes and gain new revenue streams

Distinguish between strategic data needs

Improve your decision-making strategy

Understand customers and markets

Use data to provide intelligent services and products

Data quality, ethics, privacy, ownership, access and security

Curriculum

Introduction to Data Strategy Free

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! Free
Deciding Your Strategic Data Needs Free

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 Free
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.

Introduction to Section 3 Free

Curated dashboards vs. self-service data exploration Free

Challenges related to self-service data exploration Free

Asking key business questions first (KBQs) 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
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 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
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
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
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
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

The Shotspotter case study
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)

Defining data use cases walk through (part 2)

Defining data use cases walk through (part 3)
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.

Introduction to Section 10

Structured vs Semi-structured Data

Internal vs External Data

Different Types of Data

Meta Data

The Importance of Realtime Data

Gathering Internal Data

Accessing External Data

Sources of External Data

When the data you want doesn't exist
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.

Introduction to Section 11

To own or not to own

Ensuring the correct rights are in place

Case study on building trust
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.

Introduction to Section 12

Text analytics

Sentiment analytics

Image analytics

Video analytics

Voice analytics

Data mining

Business experiments

Visual analytics

Correlation Analysis

Regression Analysis

Scenario Analysis

Time series analysis

Monte carlo simulation

Linear programming

Cohort analysis

Factor analysis

Neural network analysis

Deep learning

Reinforcement learning
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.

Introduction to Section 13

How to collect data

Database, Data warehouse, Data mart and Data lake

How to store data

How to process data

Communicating data

What is а KPI dashboard

How to design a KPI Dashboard

Reporting lessons from journalists

Using KPI dashboard software

Big data as a service
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.

Introduction to Section 14

Skills shortage

The skills needed for a data scientist

Building internal skills and competencies

Outsourcing your data analysis

Leadership challenges
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

Why data strategies fail

Creating a data culture

Revisiting the data strategy

A changing business environment

Changing technology landscape
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

Student feedback

4.8/5

2722 ratings

5 stars

2256 (83%)

4 stars

373 (14%)

3 stars

69 (3%)

2 stars

16 (1%)

1 star

8 (0%)

Areeb Ansari

14.12.2022

It's a very informative, fantastic course but it placed terribly in this module. My advice would be to either place it later in the module or in some later module or maybe break down this 5-hour course into 2-3 parts. I think the content dealt with here concerns more or less with an experienced/managerial level. Without prior knowledge of technical tools, it seems too vague to implement/picture it happening. It felt more like visiting the theoretical basics of data science lecture at a traditional college where the professor bombarded me with all the Info/steps required to be highly successful in the field. Also, it could have been more interesting and insightful if the explanations involved examples of real-life business cases and solutions with the help of the technical tools already learned from the last courses rather than just the definitions making it more doable.

Arthur Mbanga

17.11.2022

This course has to be the most interesting course I have come across thus far on the 365DataScience.com platform. This is all to the credit of Bernard Marr - unlike the other lecturers he opened his course material by showing his face and having an open ended introduction of himself as well as giving insight on his experience. He further more elaborates on the books he has written, which I myself made it a point to purchase for further reading. I find Bernard Marr to be very informed in his subject matter and is an excellent lecturer as he uses many interesting examples which better explain his course material. Keep up the good work Bernard, keep the benchmark dangling high!

Pavan Kumar Kamuni

12.12.2022

Course is great, but some more features to the website would make the learning easier like, the video title at the start of the video (not all videos come with the titles at the start), only the audio version of the videos, especially to repeat any video on the drive to work or for passive learning for a brush up and of course an easy to use mobile friendly app.

Gary Krajci

25.10.2022

Well developed. Covers information that is crucial for developing, implementing and using data to achieve a desired outcome. When dealing with customers, they assumed that IT did it all, when they were the ones who drive the process. This course shows that the DS needs to guide the customer to help them achieve their goals.

Julieta Americano Gove

14.07.2022

Hello, my name is Julieta from Mozambique, I have no question just want to say thank you for all the knowledge you bring, it changed the way I see many things such a very good, high quality content, please keep up with the good work. I salut you and all the team of 365. I have discovered my new love - The Data world.

“In this course, I will provide you with a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business.”

Bernard Marr

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