Data intelligence for businesses and managers
- Offered byCoursera
Data intelligence for businesses and managers at Coursera Overview
Duration | 12 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Data intelligence for businesses and managers at Coursera Highlights
- Earn a certificate of completion
- Add to your LinkedIn profile
Data intelligence for businesses and managers at Coursera Course details
- What you'll learn
- You'll be familiar with Data technologies and the organizational changes they bring.
- You'll learn about the challenges faced by companies in leveraging their data and transforming it into strategic assets.
- You'll understand the role of data management in shaping the company's strategic direction and improving its operational performance.
- You'll be prepared to solve organizational problems creatively through innovative use of technology and Data.
- 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.
- 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.
Data intelligence for businesses and managers at Coursera Curriculum
Introduction
The place of data in digital transformation
Introduction
Massive data leading to a data economy
Technology at the heart of digital transformation
Impacts of digital transformation on the company
Expert Testimonial
Introduction
Definition of digital transformation
Further details on these technologies
Types of Business Models
Digital transformation: How not to miss the phase that unfolds in the workplace
Taking stock of the place of data
Key concepts related to data
Introduction
Definition and dimension of an IS
Types of IS according to the purpose of data processing
Key concepts related to data
The role of the IS in the organization
Challenges related to IS
From Data to Intelligence
Key concepts related to data
Data management & Data governance
Introduction
Data Management
Data Governance
Management - Governance duality
Expert testimonial
Definitions
Data and Its Risks
Data Governance - Have Trust (or not?)
Taking stock of data management and governance
Data modeling
Introduction
Data Modeling
Example
The modeling of unstructured data
Chapter Objectives
In-depth look
Data-Driven and Model-Based Beekeeping
Taking stock of data modeling
Master Data Management (MDM)
New Video
Definition of reference data
Master Data Management
Master Data Framework
Two distinct systems
Example
4 styles
Master Data Management
Data quality management
Introduction
The steps to create value from data
Data Quality Criteria
Data Quality Management
Data Quality Governance
Expert testimonial
Poor quality: examples
The 4 Processes of Quality Management
Improving Data Quality in Europe
Taking stock of data quality
Business intelligence information systems and data visualisation
The concept of Business Intelligence
Data Warehouse and Data Mart
Analyzing Big Data
Introduction
Further Explanation
Examples of Models
Conclusion
DCbrain: Artificial Intelligence Serving Networks
Artificial Intelligence
Introduction
Different fields and their interconnection
Supervised Learning
Unsupervised Learning
Neural Networks
Where do data come from?
Expert testimonial
Machine Learning Models
The Models: what are they used for?
Examples
Artificial Intelligence: The complex issue of ethics
From Personal Data to Artificial Intelligence: who benefits from the click?
Taking stock of Artificial Intelligence
The General Data Protection Regulation
Introduction
The principles
The compliance process
Expert testimonial
Actions of the 5 key principles:
Overview of Personal Data Usage within Your Organization
Analysis of the Impact of GDPR
Blockchain & GDPR
Taking stock of the GDPR
Evaluation activity
Data intelligence for businesses and managers at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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