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.
Offered By
IBMAbout this Course
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Learner Career Outcomes
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started a new career after completing these courses
33%
got a tangible career benefit from this course
11%
got a pay increase or promotion
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Beginner Level
Approx. 10 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, English, Spanish
Learner Career Outcomes
33%
started a new career after completing these courses
33%
got a tangible career benefit from this course
11%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 10 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, English, Spanish
Offered by
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.
Syllabus - What you will learn from this course
3 hours to complete
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.
3 hours to complete
8 videos (Total 27 min), 4 readings, 2 quizzes
8 videos
Fundamentals of Data Science2m
The Many Paths to Data Science3m
Advice for New Data Scientists2m
A day in the Life of a Data Scientist3m
Old problems, new problems, Data Science solutions3m
Data Science Topics and Algorithms3m
Cloud for Data Science3m
4 readings
Course Syllabus10m
Professional Certificate Career Support10m
Lesson Summary10m
Lesson Summary10m
2 practice exercises
Data Science: The Sexiest Job in the 21st Century30m
What Makes Someone a Data Scientist?30m
3 hours to complete
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.
3 hours to complete
8 videos (Total 39 min), 3 readings, 2 quizzes
8 videos
What is Hadoop?6m
How Big Data is Driving Digital Transformation3m
Data Science Skills & Big Data4m
Data Scientists at New York University4m
What's the difference?4m
Neural Networks and Deep Learning6m
Applications of Machine Learning3m
3 readings
Lesson Summary10m
Lesson Summary10m
Exercise: Identifying objects in images with IBM Watson3m
2 practice exercises
Data Mining30m
Regression30m
4 hours to complete
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 hours to complete
7 videos (Total 32 min), 4 readings, 3 quizzes
7 videos
How Should Companies Get Started in Data Science?2m
Applications of Data Science3m
How Can Someone Become a Data Scientist?5m
Recruiting for Data Science7m
Careers in Data Science2m
High School Students and Data Science Careers4m
4 readings
Lesson Summary10m
Lesson Summary10m
Lesson Summary10m
IBM Digital Badge2m
2 practice exercises
The Final Deliverable30m
The Report Structure30m
Reviews
TOP REVIEWS FROM WHAT IS DATA SCIENCE?
by 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.
by 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.
by 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. Krishna
by 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.
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