關於此課程：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.
此課程適用人群：This course is primarily for individuals who are passionate about the field of data science and who are aspiring to become data scientists.
製作方： IBM
教學方： Alex Aklson, Ph.D., Data Scientist
IBM Developer Skills Network
| 基本信息 | |
| 級別 | 初級 |
| 承諾學習時間 | 3 weeks of study, 2-3 hours/week |
| 語言 | English |
| 如何通過 | 通過所有計分作業以完成課程。 |
| 用戶評分 |
授課大綱
第 1 週
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 個視頻, 3 個閱讀材料
- Reading: Course Syllabus
- 視頻: The Many Paths to Data Science
- 視頻: Advice for New Data Scientists
- Reading: Data Science: The Sexiest Job in the 21st Century
- 視頻: A day in the Life of a Data Scientist
- 視頻: Data Science Topics and Algorithms
- 視頻: What is the cloud?
- Reading: What Makes Someone a Data Scientist?
已評分: Data Science: The Sexiest Job in the 21st Century
已評分: What Makes Someone a Data Scientist?
第 2 週
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 個視頻, 2 個閱讀材料
- 視頻: Data Scientists at New York University
- 視頻: What is Hadoop?
- Reading: Data Mining
- 視頻: Neural Networks and Deep Learning
- 視頻: How Can Someone Become a Data Scientist?
- 視頻: High School Students and Data Science Careers
- 視頻: Applications of Machine Learning
- Reading: Regression
已評分: Data Mining
已評分: Regression
第 3 週
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 個視頻, 2 個閱讀材料
- 視頻: Recruiting for Data Science
- 視頻: Applications of Data Science
- Reading: The Final Deliverable
- Reading: The Report Structure
已評分: The Final Deliverable
已評分: The Report Structure
已評分: Final Assignment
常見問題解答
運作方式
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
製作方
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.
價格
| 購買課程 | |
|---|---|
| 訪問課程材料 | 可用 |
| 訪問評分的材料 | 可用 |
| 收到最終成績 | 可用 |
| 獲得可共享的課程證書 | 可用 |
評分和審閱
I liked this course but I finished it in three days. So I think it was too small to call it a course.
The course provides a good overview of data science in general. I particularly liked the definitions of a data scientist and data science. Mr. Haider's definitions are inclusive, broad and encouraging, He says one of the most important traits for a data scientist to possess is curiosity and that tools and techniques can be learnt.
The course also touches upon hot topic areas that people have heard of but most do not understand - i.e. Machine Learning, Neural Networks, Data Mining and Big Data. I have a much better idea what these terms mean now along with the tools of the trade. The course was quite short and concise. I found it the perfect pace for me. The quizzes matched the content and there was nothing extraneous.
I am looking forward to the other courses in the specialization. A quick glance has shown me that the difficulty level increases quite a lot in the other courses and I would definitely have to invest a lot more time in them. The start has been gentle and encouraging, thank you!
Excellent course to begin with Data Science. I have fully completed the course and earned the certificate. I have received the financial assistance to get the certificate. Thank you Coursera.
DP
Good way to introduce this topic to someone who is completely new!