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⇱ Data intelligence for businesses and managers | Coursera


Data intelligence for businesses and managers

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Data intelligence for businesses and managers

1,607 already enrolled

Included with

Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

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.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 assignments¹

AI Graded see disclaimer
Taught in English

There are 11 modules in this course

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.

What's included

1 reading1 discussion prompt

1 readingTotal 10 minutes
  • MindMap10 minutes
1 discussion promptTotal 10 minutes
  • Point of exchange with the teacher10 minutes

Digital transformation to capitalise on data

What's included

5 videos5 readings1 assignment

5 videosTotal 12 minutes
  • Introduction0 minutes
  • Massive data leading to a data economy2 minutes
  • Technology at the heart of digital transformation3 minutes
  • Impacts of digital transformation on the company1 minute
  • Expert Testimonial5 minutes
5 readingsTotal 45 minutes
  • Introduction5 minutes
  • Definition of digital transformation10 minutes
  • Further details on these technologies 10 minutes
  • Types of Business Models10 minutes
  • Digital transformation: How not to miss the phase that unfolds in the workplace10 minutes
1 assignmentTotal 30 minutes
  • Taking stock of the place of data30 minutes

What's included

4 videos3 readings1 assignment

4 videosTotal 10 minutes
  • Introduction0 minutes
  • Definition and dimension of an IS1 minute
  • Types of IS according to the purpose of data processing2 minutes
  • Key concepts related to data6 minutes
3 readingsTotal 30 minutes
  • The role of the IS in the organization10 minutes
  • Challenges related to IS10 minutes
  • From Data to Intelligence10 minutes
1 assignmentTotal 30 minutes
  • Key concepts related to data30 minutes

What's included

5 videos3 readings1 assignment

5 videosTotal 9 minutes
  • Introduction0 minutes
  • Data Management1 minute
  • Data Governance1 minute
  • Management - Governance duality1 minute
  • Expert testimonial5 minutes
3 readingsTotal 30 minutes
  • Definitions10 minutes
  • Data and Its Risks10 minutes
  • Data Governance - Have Trust (or not?) 10 minutes
1 assignmentTotal 30 minutes
  • Taking stock of data management and governance30 minutes

What's included

4 videos3 readings1 assignment

4 videosTotal 8 minutes
  • Introduction0 minutes
  • Data Modeling3 minutes
  • Example3 minutes
  • The modeling of unstructured data2 minutes
3 readingsTotal 30 minutes
  • Chapter Objectives 10 minutes
  • In-depth look10 minutes
  • Data-Driven and Model-Based Beekeeping10 minutes
1 assignmentTotal 30 minutes
  • Taking stock of data modeling30 minutes

What's included

3 videos3 readings1 assignment

3 videosTotal 6 minutes
  • Definition of reference data2 minutes
  • Master Data Management2 minutes
  • Master Data Framework3 minutes
3 readingsTotal 35 minutes
  • Two distinct systems10 minutes
  • Example15 minutes
  • 4 styles10 minutes
1 assignmentTotal 30 minutes
  • Master Data Management30 minutes

What's included

6 videos3 readings1 assignment

6 videosTotal 12 minutes
  • Introduction0 minutes
  • The steps to create value from data1 minute
  • Data Quality Criteria2 minutes
  • Data Quality Management2 minutes
  • Data Quality Governance1 minute
  • Expert testimonial7 minutes
3 readingsTotal 30 minutes
  • Poor quality: examples10 minutes
  • The 4 Processes of Quality Management10 minutes
  • Improving Data Quality in Europe10 minutes
1 assignmentTotal 30 minutes
  • Taking stock of data quality30 minutes

What's included

3 videos5 readings

3 videosTotal 7 minutes
  • The concept of Business Intelligence3 minutes
  • Data Warehouse and Data Mart1 minute
  • Analyzing Big Data3 minutes
5 readingsTotal 50 minutes
  • Introduction10 minutes
  • Further Explanation10 minutes
  • Examples of Models 10 minutes
  • Conclusion10 minutes
  • DCbrain: Artificial Intelligence Serving Networks10 minutes

What's included

7 videos5 readings1 assignment

7 videosTotal 13 minutes
  • Introduction1 minute
  • Different fields and their interconnection1 minute
  • Supervised Learning1 minute
  • Unsupervised Learning1 minute
  • Neural Networks2 minutes
  • Where do data come from?1 minute
  • Expert testimonial6 minutes
5 readingsTotal 50 minutes
  • Machine Learning Models10 minutes
  • The Models: what are they used for?10 minutes
  • Examples10 minutes
  • Artificial Intelligence: The complex issue of ethics10 minutes
  • From Personal Data to Artificial Intelligence: who benefits from the click?10 minutes
1 assignmentTotal 30 minutes
  • Taking stock of Artificial Intelligence30 minutes

What's included

4 videos4 readings1 assignment

4 videosTotal 12 minutes
  • Introduction1 minute
  • The principles2 minutes
  • The compliance process2 minutes
  • Expert testimonial7 minutes
4 readingsTotal 40 minutes
  • Actions of the 5 key principles:10 minutes
  • Overview of Personal Data Usage within Your Organization10 minutes
  • Analysis of the Impact of GDPR10 minutes
  • Blockchain & GDPR10 minutes
1 assignmentTotal 30 minutes
  • Taking stock of the GDPR30 minutes

What's included

1 peer review

1 peer reviewTotal 60 minutes
  • Peer-to-peer activity60 minutes

Instructor

Institut Mines-Télécom
4 Courses3,086 learners

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.