In this course, you will learn next-level thinking about value creation with Dark Data, using a principled approach that demonstrates your ability to use dark data to add value to an end-deliverable.
Offrez à votre carrière le cadeau de Coursera Plus avec $160 de réduction, facturé annuellement. Économisez aujourd’hui.
Value Creation with Dark Data
Ce cours fait partie de Spécialisation Dark Data Migration and Architecture
Instructeur : Curtis Thompson
Inclus avec
Expérience recommandée
Ce que vous apprendrez
Learners will gain next level thinking about value creation with Dark Data from a principled approach and demonstrate value creation skills.
Compétences que vous acquerrez
- Catégorie : Creating value and working a problem with dark data concepts
Détails à connaître
Ajouter à votre profil LinkedIn
1 devoir
Découvrez comment les employés des entreprises prestigieuses maîtrisent des compétences recherchées
Élaborez votre expertise du sujet
- Apprenez de nouveaux concepts auprès d'experts du secteur
- Acquérez une compréhension de base d'un sujet ou d'un outil
- Développez des compétences professionnelles avec des projets pratiques
- Obtenez un certificat professionnel partageable
Obtenez un certificat professionnel
Ajoutez cette qualification à votre profil LinkedIn ou à votre CV
Partagez-le sur les réseaux sociaux et dans votre évaluation de performance
Il y a 4 modules dans ce cours
Welcome to Value Creation with Dark Data. We are excited that you are here and hope you finish this course with working knowledge of creating value by using dark data and the foundational ideas of dark data. In this course, you will work through a project scenario to identify and leverage data to create a solution.
Inclus
2 vidéos3 lectures
In this module, you will be learning more about dark data and putting the principles of working with dark data into practice. This is important as your understanding now will inform how you work toward a solution in the project in Module 2. Think about what you know, what you are learning now, and what you might use in the future as you work through this module.
Inclus
11 vidéos5 lectures
As you move through this module, remember that your focus now is to shift from knowing to practicing; that is, being able to use what you know. In this module, you will learn about insight, intelligence, and data management. These will all be important as you begin your project in the next module.
Inclus
7 vidéos3 lectures
It is now time for you to put your new knowledge and skills into practice. In this project, you will work with a common problem that vexes Fortune 500 companies. Companies constantly struggle to ensure that they have enough engineering capacity to build the software applications they need to provide appropriate staffing levels. Staffing appropriately includes not only having the right people available at the right time but also reducing the amount of over and idle time for engineers while ensuring the pace of projects is appropriate for business needs. In this project, you need to find a way to manage and transform the data and automate the engineering measurement, tracking, and reporting for a large corporation. You will download and use a complex spreadsheet for this task. There is no simple answer to this problem; in fact, there are some very wrong answers and many ways to approach this problem that can work. The right answer will always be the one that enables you to: 1. have a clear line of sight into the teams work 2. improve the ability to measure teams in a more uniform manner 3. improve the ability of your organization to manage engineering processes uniformly 4. map engineering efforts toward enterprise and organizational goals 5. automate effort and capacity reporting 6. improve capacity and effort transparency enterprise-wide 7. map business outcomes to the actual engineering work and products being delivered The danger to be aware of here is the dark data. When you do not know what you are missing, you can easily think you are successful when you are not. As you work through this problem, consider all you have learned about dark data in this course and use that knowledge to learn from the data, apply your knowledge of business and engineering teams, transform and enrich the data, and develop an end-user dashboard that allows people to quickly understand capacity at a high-level and allows them to dive into the details. Quick note: When we speak of engineering capacity, it refers to the amount of engineering ability available to deliver software applications needed for business use.
Inclus
4 vidéos2 lectures1 devoir2 sujets de discussion
Instructeur
Offert par
Recommandé si vous êtes intéressé(e) par Data Analysis
Arizona State University
Arizona State University
Arizona State University
Google Cloud
Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?
Ouvrez de nouvelles portes avec Coursera Plus
Accès illimité à plus de 7 000 cours de renommée internationale, à des projets pratiques et à des programmes de certificats reconnus sur le marché du travail, tous inclus dans votre abonnement
Faites progresser votre carrière avec un diplôme en ligne
Obtenez un diplôme auprès d’universités de renommée mondiale - 100 % en ligne
Rejoignez plus de 3 400 entreprises mondiales qui ont choisi Coursera pour les affaires
Améliorez les compétences de vos employés pour exceller dans l’économie numérique
Foire Aux Questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.