Data intelligence for businesses and managers from Coursera

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.

What's inside

Syllabus

Introduction

The place of data in digital transformation

Digital transformation to capitalise on data

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

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data intelligence for businesses and managers with these activities:

Assist in a data-related project

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Gain practical experience by volunteering your skills in a data-related project, such as data collection or analysis.

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Identify organizations or projects that involve data work.
Contact the organization and inquire about volunteer opportunities.
Participate in data collection, analysis, or other data-related tasks.

Read 'Data Mining: Concepts and Techniques'

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Review key concepts and techniques in data mining to strengthen your foundation for understanding data-driven strategies.

View Data Mining: Concepts and Techniques on Amazon

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Read through the chapters covering data preprocessing, clustering, and classification.
Solve the exercises at the end of each chapter to test your understanding.

Follow tutorials on data visualization

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Explore tutorials on data visualization techniques to improve your ability to communicate insights effectively.

Browse courses on Data Visualization

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Search for online tutorials or courses on data visualization tools like Tableau or Power BI.
Follow the tutorials to learn different chart types and best practices for data presentation.

Five other activities

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Complete SQL exercises

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Reinforce your SQL skills through practice exercises to enhance data querying and manipulation proficiency.

Browse courses on SQL

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Find online SQL exercises or quizzes.
Practice writing queries to extract, filter, and aggregate data.

Develop a data dictionary

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Create a comprehensive data dictionary to improve your data understanding and communication.

Browse courses on Data Modeling

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Gather data from different sources and identify key attributes.
Define data types, formats, and constraints for each attribute.
Document data definitions and relationships clearly.

Join a study group

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Collaborate with peers in a study group to discuss course concepts, solve problems, and enhance your understanding.

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Find or create a study group with fellow students in the course.
Meet regularly to review materials, ask questions, and work on assignments together.

Develop a data management plan

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Create a data management plan to demonstrate your understanding of data management principles and best practices.

Browse courses on Data Management

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Define the scope and objectives of your data management plan.
Identify the types of data you will collect, store, and process.
Establish data quality standards and procedures.
Develop a data security and privacy plan.

Mentor junior learners

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Solidify your understanding by mentoring junior learners in data literacy or data analysis skills.

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Connect with students or professionals who are seeking guidance in data-related topics.
Provide support, guidance, and resources to help them develop their data skills.

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.

See salaries and explore the career path for Big Data Engineer

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Data Security Analyst

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.

See salaries and explore the career path for Business Intelligence Analyst

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Artificial Intelligence (AI) Engineer

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.

See salaries and explore the career path for Information Technology (IT) Manager

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.

See salaries and explore the career path for Data Architect

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Software 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.

See salaries and explore the career path for Chief Data Officer (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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for Technical Support Specialist

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.

See salaries and explore the career path for Data Governance Analyst