Über diesen Kurs

52,704 kürzliche Aufrufe

Karriereergebnisse der Lernenden

50%

nahm einen neuen Beruf nach Abschluss dieser Kurse auf

32%

ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs

12%

erhalten Sie eine Gehaltserhöhung oder Beförderung
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Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Ca. 4 Stunden zum Abschließen
Englisch
Untertitel: Englisch, Arabischer Raum

Was Sie lernen werden

  • Describe the various roles that make up a Data Science team

  • Manage a Data Science team onboarding

  • Know relevant questions for interviewing data scientists

  • Understand how to encourage and empower Data Science teams

Kompetenzen, die Sie erwerben

Team BuildingData ScienceManagementTeam Management

Karriereergebnisse der Lernenden

50%

nahm einen neuen Beruf nach Abschluss dieser Kurse auf

32%

ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs

12%

erhalten Sie eine Gehaltserhöhung oder Beförderung
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Ca. 4 Stunden zum Abschließen
Englisch
Untertitel: Englisch, Arabischer Raum

von

Johns Hopkins University-Logo

Johns Hopkins University

Lehrplan - Was Sie in diesem Kurs lernen werden

InhaltsbewertungThumbs Up91%(3,556 Bewertungen)Info
Woche
1

Woche 1

4 Stunden zum Abschließen

Building a Data Science Team

4 Stunden zum Abschließen
17 Videos (Gesamt 83 min), 8 Lektüren, 6 Quiz
17 Videos
The Data Team2m
When Do You Need Data Science?3m
Data Engineer: Qualifications & Skills5m
Data Scientist: Qualifications & Skills8m
Data Science Manager: Qualifications & Skills4m
Where To Find The Data Team2m
Interviewing For Data Science5m
Onboarding the Data Science Team5m
Managing the Data Science Team7m
Evaluating Success of the Team6m
Embedded Teams vs. Dedicated Groups5m
How Does Data Science Interact with Other Groups3m
Empowering Others to Use Data5m
Common Interaction Difficulties6m
Common Internal Difficulties7m
Wrap-Up1m
8 Lektüren
Lecture materials and related reading10m
Lecture Materials and Related Reading10m
Lecture Materials and Related Reading10m
Lecture Materials and Related Reading10m
Lecture Materials and Related Reading10m
Lecture Materials and Related Reading10m
Lecture Materials and Related Reading10m
Post-Course Survey10m
6 praktische Übungen
Defining the data science team10m
Data team qualifications10m
Assembling the team10m
Management strategies10m
Working with other teams10m
Common difficulties10m

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Über den Spezialisierung Executive Data Science

Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects. In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects....
Executive Data Science

Häufig gestellte Fragen

  • 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.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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