Data intelligence for businesses and managers

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Data intelligence for businesses and managers

Instructor: Imed BOUGHZALA

1,606 already enrolled

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11 modules

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

11 modules

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.

Skills you'll gain

Details to know

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Assessments

8 assignments¹

AI Graded see disclaimer

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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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

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

What's included

3 videos3 readings1 assignment

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

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

Instructor

Imed BOUGHZALA

Institut Mines-Télécom

4 Courses3,086 learners

Offered by

Institut Mines-Télécom

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