Spécialisation Science des données exécutive
Be The Leader Your Data Team Needs. Learn to lead a data science team that generates first-rate analyses in four courses.
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Ce que vous allez apprendre
Become conversant in the field and understand your role as a leader.
Recruit, assemble, evaluate, and develop a team with complementary skill sets and roles.
Navigate the structure of the data science pipeline by understanding the goals of each stage and keeping your team on target throughout.
Overcome the common challenges that frequently derail data science projects.
Compétences que vous acquerrez
À propos de ce Spécialisation
No prior data science experience required.
No prior data science experience required.
Cette Spécialisation compte 5 cours
A Crash Course in Data Science
By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient as possible without sacrificing any of the essentials.
Building a Data Science Team
Data science is a team sport. As a data science executive it is your job to recruit, organize, and manage the team to success. In this one-week course, we will cover how you can find the right people to fill out your data science team, how to organize them to give them the best chance to feel empowered and successful, and how to manage your team as it grows.
Managing Data Analysis
This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results.
Data Science in Real Life
Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and followed exactly. The conclusions were clear and actionable decisions were obvious. Has that every happened to you? Of course not. Data analysis in real life is messy. How does one manage a team facing real data analyses? In this one-week course, we contrast the ideal with what happens in real life. By contrasting the ideal, you will learn key concepts that will help you manage real life analyses.
Offert par

Université Johns-Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.


Foire Aux Questions
Quelle est la politique de remboursement ?
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Une aide financière est-elle possible ?
Puis-je suivre le cours gratuitement ?
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Puis-je obtenir des crédits universitaires si je réussis la Spécialisation ?
Puis-je obtenir des crédits universitaires si je réussis la Spécialisation ?
How often is each course in the Specialization offered?
À quelle fréquence chaque cours de cette Spécialisation est-il proposé ?
Do I need to take the courses in a specific order?
Will I earn university credit for completing the Executive Data Science Specialization?
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