Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.
Machine Learning With Big Data
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Machine Learning With Big Data
This course is part of Big Data Specialization
Instructors: Mai Nguyen
73,314 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.6
(2,476 reviews)
20 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
96%
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Skills you'll gain
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Shareable certificate
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Assessments
11 assignments
Taught in English
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This course is part of the Big Data Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 7 modules in this course
What's included
2 videos2 discussion prompts
What's included
7 videos6 readings1 assignment1 discussion prompt
What's included
6 videos4 readings2 assignments1 discussion prompt
What's included
8 videos3 readings2 assignments2 discussion prompts
What's included
8 videos5 readings2 assignments1 discussion prompt
What's included
7 videos6 readings2 assignments1 discussion prompt
What's included
8 videos5 readings2 assignments2 discussion prompts
Instructors
Instructor ratings
4.8 (244 ratings)Offered by
Recommended if you're interested in Machine Learning
University of Washington
University of California San Diego
University of California San Diego
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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