The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.
proposé par
IBM
À propos de ce cours
781,174 consultations récentes
Les étudiants prenant part à ce Professional Certificate sont
- Process Analysts
- Data Analysts
- Business Analysts
- Risk Managers
- Data Scientists
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
12 heures pour terminer
Defining Data Science and What Data Scientists Do
In this module, you will go over the course syllabus to learn what will be taught in this course. Also, you will hear from data science professionals to learn what data science is, what data scientists do, and what tools and algorithms data scientists use on a daily basis. Finally, you will be required to complete a reading assignment to learn why data science is considered the sexiest job in the 21st century.
6 vidéos (Total 20 min), 5 lectures, 2 quiz
6 vidéos
The Many Paths to Data Science3 min
Advice for New Data Scientists2 min
A day in the Life of a Data Scientist3 min
Data Science Topics and Algorithms3 min
What is the cloud?3 min
5 lectures
Course Syllabus10 min
Data Science: The Sexiest Job in the 21st Century20 min
What Makes Someone a Data Scientist?20 min
Exercise: Identifying objects in images with IBM Watson5 min
Exercise: Upload and classify your images!30 min
2 exercices pour s'entraîner
Data Science: The Sexiest Job in the 21st Century10 min
What Makes Someone a Data Scientist?10 min
Semaine
21 heure pour terminer
Data Science Topics
In this module, you will hear from Norman White, the Faculty Director of the Stern Centre for Research Computing, at New York University, as he talks about data science and what skills are required for anyone interested in pursuing a career in this field and as he gives advice to those who are looking to start a career in data science. Finally, you will be required to complete reading assignments to learn about the process of mining a given dataset and about regression analysis.
7 vidéos (Total 37 min), 2 lectures, 2 quiz
7 vidéos
Data Scientists at New York University4 min
What is Hadoop?6 min
Neural Networks and Deep Learning6 min
How Can Someone Become a Data Scientist?5 min
High School Students and Data Science Careers4 min
Applications of Machine Learning4 min
2 lectures
Data Mining10 min
Regression20 min
2 exercices pour s'entraîner
Data Mining10 min
Regression10 min
Semaine
33 heures pour terminer
Data Science in Business
In this module, you will learn about what companies need to do in order to start with data science. You will also learn about some of the qualities that differentiate data scientists from other professionals. In addition, you will learn about analytics and what important role data scientists play in this process, and about story-telling and the importance of an effective final deliverable. Finally, you will be required to apply what you learned about data science by answering open-ended questions.
3 vidéos (Total 17 min), 2 lectures, 3 quiz
3 vidéos
Recruiting for Data Science7 min
Applications of Data Science6 min
2 lectures
The Final Deliverable20 min
The Report Structure20 min
2 exercices pour s'entraîner
The Final Deliverable10 min
The Report Structure10 min
4.7
2785 avis41%
a commencé une nouvelle carrière après avoir terminé ces cours
39%
a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
Principaux examens pour What is Data Science?
I thought this course introduced the topic of data science very well. I think I have a much better idea how to describe data science and common terms associated with the field (like machine learning).
Excellent quality content! It's a great introductory course that really gets you interested in Data Science. I would highly recommend it to anyone curious in learning about what Data Science is about.
Enseignants
Alex Aklson
Ph.D., Data ScientistIBM Developer Skills Network
Polong Lin
Data ScientistIBM Developer Skills Network
À propos de IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.
À quoi ai-je droit si je m'abonne à ce Certificat ?
Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours du Certificat, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
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