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Data intelligence for businesses and managers

Imed Boughzala

With the proliferation of connected objects (computers, tablets, watches, etc.), huge masses of data are generated every second. This Big Data has led to the emergence of a data economy, where data is the main source of competitive advantage for companies. In this sense, data and its processing tools have become a strategic priority for companies, and the main gas pedal of their digital transformation.

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With the proliferation of connected objects (computers, tablets, watches, etc.), huge masses of data are generated every second. This Big Data has led to the emergence of a data economy, where data is the main source of competitive advantage for companies. In this sense, data and its processing tools have become a strategic priority for companies, and the main gas pedal of their digital transformation.

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This MOOC addresses the role of data in the digital transformation of organizations through 10 course sequences spread over 5 weeks and a wide variety of content:

- Slideshows and video-scribes explaining the impact of data on businesses, the digital transformation needed to capitalize on data, and the tools, methods and technologies needed to implement these data-driven strategies.

- Videos featuring testimonials from professionals and academics, highlighting through concrete examples the importance of data as a catalyst for digital transformation and a source of competitive advantage.

- Compulsory reading to complement the topics covered in the slides and video, in particular the challenges and benefits of data management as part of digital transformation.

- MCQs covering the entire content of each chapter.

A certificate is awarded for any grade above 50%.

This MOOC has received financial support from the Patrick & Lina Drahi Foundation.

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What's inside

Syllabus

Introduction
The place of data in digital transformation
Digital transformation to capitalise on data
Read more
Key concepts related to data
Data management & Data governance
Data modeling
Master Data Management (MDM)
Data quality management
Business intelligence information systems and data visualisation
Artificial Intelligence
The General Data Protection Regulation
Evaluation activity

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces learners to the role that data in driving business outcomes and digital transformation at their organizations
Equips learners with a comprehensive understanding of key data management concepts and technologies
Suitable for individuals seeking to enhance their data literacy and contribute to data-driven decision-making within their organizations
Taught by Imed Boughzala, an expert in big data and data management
Provides learners with an opportunity to explore the intersection of data management and other emerging technologies such as artificial intelligence
Participants will learn how to effectively manage and leverage data to gain competitive advantage

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Career center

Learners who complete Data intelligence for businesses and managers will develop knowledge and skills that may be useful to these careers:
Big Data Engineer
Big Data Engineers work with extremelly large data sets. The data being worked with can often be unstructured and complex. This course provides a baseline understanding of concepts such as data modeling and data management that are essential to success in this role.
Data Scientist
Data Scientists create and utilize models and algorithms to analyze and interpret data for a wide variety of reasons. Some Data Scientists focus on research and development; others work in business or industry. This course provides a solid foundation for you to start in this role.
Data Security Analyst
Data Security Analysts are responsible for the development and maintenance of security measures to protect data from unauthorized access. This course will help you to understand key data concepts and the tools and technologies used to manage and protect data.
Business Intelligence Analyst
The primary focus of Business Intelligence Analysts is on the analysis of data to improve an organization's performance. There are various subfields of this role, some focusing on finance, marketing, or healthcare. This course can help you to build a solid foundation.
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning pipelines for various purposes. This course provides a solid foundation for budding Machine Learning Engineers.
Data Engineer
A Data Engineer may work on similar projects and use similar software and tools to that of a Data Analyst. However, they specialize in building, maintaining, and working with data pipelines and databases. This course will provide you with a foundational understanding of these concepts.
Artificial Intelligence (AI) Engineer
AI Engineers have backgrounds in either computer science or software engineering. They use their programming skills to implement and manage machine learning algorithms. Many work in research and development.
Information Technology (IT) Manager
IT Managers are responsible for projects that span an entire IT department. They may work in data security, analytics, or data engineering. This course provides a foundational overview of many of these topics.
Data Architect
Data Architects design, create, and manage an organization's data architecture. This is an advanced role, but this course may be useful for those with experience in a data-related field looking to move into this career.
Data Analyst
Data Analysts use their data analysis skills on various projects. They also use a diverse range of software and tools, which this course can help you to develop an understanding of. For example, the course covers topics such as data modeling and data quality management.
Software Developer
Software Developers may specialize in data analysis and data management. This course provides you with a foundation that will help to make you a better developer.
Chief Data Officer (CDO)
CDO's, at a high level, are responsible for all things related to data within an organization. This course provides a broad foundational understanding of the concepts that you will encounter as a CDO.
Database Administrator
Database Administrators have the responsibility for day to day operations, maintenance, and support of databases. This course may be useful for a Database Administrator who wishes to specialize in data.
Technical Support Specialist
Technical Support Specialists help customers to troubleshoot and solve problems with hardware and software. This course will be useful to Technical Support Specialists who are looking to break into the data field.
Data Governance Analyst
Data Governance Analysts build and maintain standards and rules that ensure the correct way that data is accessed, recorded, and stored. They often work in a similar fashion to Data Architects.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data intelligence for businesses and managers.
This advanced book provides a foundational introduction to reinforcement learning, covering topics such as reinforcement learning concepts, reinforcement learning techniques, and reinforcement learning applications. It valuable resource for anyone who wants to learn more about reinforcement learning and its implications for business.
Provides a practical guide to data modeling, covering topics such as data modeling concepts, data modeling techniques, and data modeling tools. It valuable resource for anyone who wants to learn how to create and use data models.
This advanced book provides a comprehensive overview of data mining, covering topics such as data mining concepts, data mining techniques, and data mining applications. It valuable resource for anyone who wants to learn more about data mining and its implications for business.
This advanced book provides a foundational introduction to data science, covering topics such as data science concepts, data science techniques, and data science applications. It valuable resource for anyone who wants to learn more about data science and its implications for business.
This advanced book provides a foundational introduction to deep learning, covering topics such as deep learning concepts, deep learning techniques, and deep learning applications. It valuable resource for anyone who wants to learn more about deep learning and its implications for business.
This comprehensive textbook provides a solid foundation in data mining concepts and techniques. It covers various algorithms, methodologies, and applications, making it suitable for students and researchers seeking to build expertise in this field.
Provides a business-oriented introduction to data science, covering topics such as data mining, data-analytic thinking, and the use of data to make informed decisions. It valuable resource for anyone who wants to learn how to use data to improve their business.
Provides a guide to artificial intelligence, covering topics such as the history of artificial intelligence, the different types of artificial intelligence, and the future of artificial intelligence. It valuable resource for anyone who wants to learn more about artificial intelligence and its implications for society.
Provides a comprehensive overview of business intelligence, data mining, and predictive analytics. It covers key concepts, techniques, and applications, making it suitable for students and professionals seeking to gain a deeper understanding of data-driven decision-making.
Provides a practical and accessible overview of data management concepts, best practices, and emerging technologies. Ideal for beginners and professionals looking to strengthen their foundation in data management.
Is an accessible guide to data visualization concepts and techniques. It covers various types of visualizations, design principles, and best practices, enabling readers to create effective and informative data visualizations for different purposes.

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