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
Machine Learning With Big Data
This course is part of Big Data Specialization
Instructors: Mai Nguyen
Access provided by Paidy
79,055 already enrolled
Gain insight into a topic and learn the fundamentals.
2,504 reviews
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
96%
Most learners liked this course
Skills you'll gain
- Data Transformation
- Applied Machine Learning
- Unsupervised Learning
- Big Data
- Model Evaluation
- Machine Learning
- Machine Learning Algorithms
- Exploratory Data Analysis
- Data Wrangling
- Machine Learning Software
- Statistical Analysis
- Data Preprocessing
- Model Training
- Regression Analysis
- Data Analysis
- Data Mining
- Machine Learning Methods
- Descriptive Statistics
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
11 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
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
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
(251 ratings)Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
- 5 stars
70.80%
- 4 stars
23.44%
- 3 stars
4.03%
- 2 stars
0.99%
- 1 star
0.71%
Showing 3 of 2504
JC
Reviewed on Dec 8, 2018
Interesting material. Ran into several issues with the hands on that could have been avoided. Loved learning more about Neo4J. The section on Spark needed more time and additional descriptions.
JB
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.
BC
Reviewed on Feb 15, 2020
This has given me foundational knowledge in Machine Learning for someone who is not a practitioner. Thank you Mai Nguyen for the excellent course presentation. Keep it up.
Explore more from Data Science
O.P. Jindal Global University
