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
76,629 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.6
(2,494 reviews)
20 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
96%
Most learners liked this course
Skills you'll gain
Details to know
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.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors
Instructor ratings
4.8 (245 ratings)Offered by
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4.6
2,494 reviews
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Showing 3 of 2494
JB
4
Reviewed on Oct 30, 2018
Reasonable overview. The VM environment is a major challenge for my hardware. Takes more time to make it work than it should. I am wondering if a cloud solution e.g. GCP would be better.
GG
5
Reviewed on May 4, 2020
Great Learning from this course surely one have to take this course for the clarification of conceptual as well as practical implementation of Machine Learning
TA
4
Reviewed on Dec 26, 2019
The fact that the assignments are graded means that there’s incentive to work on them, solve problems, and ask questions. Traditional online courses don’t offer that incentive.
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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:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
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