À propos de ce cours : 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.
Les destinataires de ce cours : This course is primarily for individuals who are passionate about the field of data science and who are aspiring to become data scientists.
Créé par : IBM
Enseigné par : Alex Aklson, Ph.D., Data Scientist
IBM Developer Skills Network
| Informations de base | Cours 1 de 9 dans IBM Data Science Professional Certificate Specialization |
| Niveau | Débutant |
| Engagement | 3 weeks of study, 2-3 hours/week |
| Langue | English |
| Comment réussir | Réussissez tous les devoirs notés pour terminer le cours. |
| Notes des utilisateurs |
Programme de cours
SEMAINE 1
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, 3 lectures
- Материал для самостоятельного изучения: Course Syllabus
- Vidéo: The Many Paths to Data Science
- Vidéo: Advice for New Data Scientists
- Материал для самостоятельного изучения: Data Science: The Sexiest Job in the 21st Century
- Vidéo: A day in the Life of a Data Scientist
- Vidéo: Data Science Topics and Algorithms
- Vidéo: What is the cloud?
- Материал для самостоятельного изучения: What Makes Someone a Data Scientist?
Noté: Data Science: The Sexiest Job in the 21st Century
Noté: What Makes Someone a Data Scientist?
SEMAINE 2
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, 2 lectures
- Vidéo: Data Scientists at New York University
- Vidéo: What is Hadoop?
- Материал для самостоятельного изучения: Data Mining
- Vidéo: Neural Networks and Deep Learning
- Vidéo: How Can Someone Become a Data Scientist?
- Vidéo: High School Students and Data Science Careers
- Vidéo: Applications of Machine Learning
- Материал для самостоятельного изучения: Regression
Noté: Data Mining
Noté: Regression
SEMAINE 3
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, 2 lectures
- Vidéo: Recruiting for Data Science
- Vidéo: Applications of Data Science
- Материал для самостоятельного изучения: The Final Deliverable
- Материал для самостоятельного изучения: The Report Structure
Noté: The Final Deliverable
Noté: The Report Structure
Noté: Final Assignment
FAQ
Comment cela fonctionne
Задания курса
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Помощь сокурсников
Общайтесь с тысячами других учащихся: обсуждайте идеи, материалы курса и помогайте друг другу осваивать новые понятия.
Сертификаты
Получите документы о прохождении курсов и поделитесь своим успехом с друзьями, коллегами и работодателями.
Créateurs
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.
Tarification
| Acheter le cours | |
|---|---|
| Accéder au contenu du cours | Disponible |
| Accéder au contenu noté | Disponible |
| Recevoir une Note Finale | Disponible |
| Obtenir un Certificat de Cours partageable | Disponible |
Notation et examens
great course with great exposure
Very informative for beginners
This course provided a great overview of Data Science and the potential for specializing in Data Science.
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The Course gives a holistic introduction to Data Science and what to expect going further into the other courses of this specialization. I enjoyed the classes which were easy to understand