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.
Qu'est-ce que la science des données ?
Offert par
IBM
À propos de ce cours
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Résultats de carrière des étudiants
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ont commencé une nouvelle carrière après avoir terminé ce cours
40%
ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
Résultats de carrière des étudiants
41%
ont commencé une nouvelle carrière après avoir terminé ce cours
40%
ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
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Dates limites flexibles
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Niveau débutant
Approx. 7 heures pour terminer
Recommandé : 3 weeks of study, 2-3 hours/week
Anglais
Sous-titres : Anglais
Programme du cours : ce que vous apprendrez dans ce cours
2 heures pour terminer
Defining Data Science and What Data Scientists Do
In this module, you will view the course syllabus to learn what will be taught in this course. You will hear from data science professionals to discover what data science is, what data scientists do, and what tools and algorithms data scientists use on a daily basis. Finally, you will complete a reading assignment to find out why data science is considered the sexiest job in the 21st century.
2 heures pour terminer
8 vidéos (Total 27 min), 6 lectures, 2 quiz
8 vidéos
Fundamentals of Data Science2 min
The Many Paths to Data Science3 min
Advice for New Data Scientists2 min
A day in the Life of a Data Scientist3 min
Old problems, new problems, Data Science solutions3 min
Data Science Topics and Algorithms3 min
Cloud for Data Science3 min
6 lectures
Course Syllabus10 min
Professional Certificate Career Support10 min
Data Science: The Sexiest Job in the 21st Century20 min
Lesson Summary10 min
What Makes Someone a Data Scientist?20 min
Lesson Summary10 min
2 exercices pour s'entraîner
Data Science: The Sexiest Job in the 21st Century10 min
What Makes Someone a Data Scientist?10 min
2 heures 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 the skills required for anyone interested in pursuing a career in this field. He also advises those looking to start a career in data science. Finally, you will complete reading assignments to learn about the process of mining a given dataset and about regression analysis.
2 heures pour terminer
8 vidéos (Total 39 min), 6 lectures, 2 quiz
8 vidéos
What is Hadoop?6 min
How Big Data is Driving Digital Transformation3 min
Data Science Skills & Big Data4 min
Data Scientists at New York University4 min
What's the difference?4 min
Neural Networks and Deep Learning6 min
Applications of Machine Learning3 min
6 lectures
Data Mining10 min
Lesson Summary10 min
Regression20 min
Lesson Summary10 min
Exercise: Identifying objects in images with IBM Watson3 min
Exercise: Upload and classify your images!30 min
2 exercices pour s'entraîner
Data Mining10 min
Regression10 min
4 heures pour terminer
Data Science in Business
In this module, you will learn about the approaches companies can take to start working with data science. You will learn about some of the qualities that differentiate data scientists from other professionals. You will also learn about analytics, story-telling, and the pivotal role data scientists play in creating an effective final deliverable. Finally, you will apply what you learned about data science by answering open-ended questions.
4 heures pour terminer
7 vidéos (Total 31 min), 6 lectures, 3 quiz
7 vidéos
How Should Companies Get Started in Data Science?2 min
Applications of Data Science3 min
How Can Someone Become a Data Scientist?5 min
Recruiting for Data Science7 min
Careers in Data Science2 min
High School Students and Data Science Careers4 min
6 lectures
The Final Deliverable20 min
Lesson Summary10 min
Lesson Summary10 min
The Report Structure20 min
Lesson Summary10 min
IBM Digital Badge2 min
2 exercices pour s'entraîner
The Final Deliverable10 min
The Report Structure10 min
Avis
4.7
Meilleurs avis pour QU'EST-CE QUE LA SCIENCE DES DONNÉES ?
par UYDec 26, 2018
The Course answers the question which the title says. It is a very basic course, and no skill can be learned from this, but it provides insights from actual people who are working /teach data science.
par KKFeb 23, 2020
Terrific introduction to the Data Science course. Never expected but was extremely excited with the quality of content, speakers and a very honest attempt to making this course interesting.\n\nKrishna
par BBFeb 21, 2019
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.
par PVOct 5, 2019
The unique way the definitions of Data Science and Scientist were explained was exemplary. Hearing from experts and people who are practicing Data science is what made the course interesting thus far.
par RMJun 9, 2019
The course is a perfect introduction to data science, making a person comfortable and showing the participants of the course a daily work of data scientist and to simplify the meaning of data science.
par PDJul 18, 2018
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).
par SBSep 9, 2019
Very learning experience, I am a beginner in DS, but the instructors in this course simplified the contents that made me I could easily understand, tools and materials were very helpful to start with.
par NFAug 26, 2019
This section of the course is decidedly an orientation and not so much an introduction. It leaves more to the student to wonder, which perhaps is intended to encourage students and not to hammer them.
par RANov 26, 2019
Very good introduction into data science. Some of the videos are very monotone, and it's easy to lose track of where the conversation is going. If you pay attention, you can get some good information.
par DSAug 13, 2019
Descriptive picture of data science. Videos are short but nicely presented which gives an student a clear idea of the subject. Even Documents at the end of the course presentation are well explained.
par LTDec 14, 2019
It is my first time to take an online Coursera course. I am badly grateful for your financial support. too many thanks seem not enough to express my happiness to finish this course about data science
par SHSep 27, 2019
i found course is very helpful for me and new candidates. it indroduces scope and varoius facts about data science, i enjoyed by learning this course. course quizes are helpful to understand subject.
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.
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