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 Micron Technology
78,011 already enrolled
Gain insight into a topic and learn the fundamentals.
2,502 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
- Exploratory Data Analysis
- Applied Machine Learning
- Unsupervised Learning
- Data Preprocessing
- Predictive Modeling
- Model Evaluation
- Supervised Learning
- Machine Learning
- Classification Algorithms
- Data Analysis
- Big Data
- Regression Analysis
- Data Mining
- Apache Spark
- Statistical Analysis
- Skills section collapsed. Showing 8 of 15 skills.
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
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
(250 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
70.78%
- 4 stars
23.46%
- 3 stars
4.03%
- 2 stars
0.99%
- 1 star
0.71%
Showing 3 of 2502
RR
Reviewed on Dec 24, 2018
The Course was great giving a good overview of all Machine Learning Concepts. It is good starting point to understand Basics and Deep dive into Learning.
TA
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.
JA
Reviewed on May 9, 2017
Great overview about the machine learning in general. There are still lots not covered specially the Neural Network algorithms. Learning Spark MLlib was great advantage of this course.
Explore more from Data Science
O.P. Jindal Global University
