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
79,119 already enrolled
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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
- Machine Learning
- Machine Learning Algorithms
- Data Mining
- Big Data
- Exploratory Data Analysis
- Data Analysis
- Machine Learning Software
- Data Wrangling
- Unsupervised Learning
- Data Transformation
- Machine Learning Methods
- Statistical Analysis
- Model Training
- Regression Analysis
- Model Evaluation
- Data Preprocessing
- Descriptive Statistics
- Applied Machine Learning
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
11 assignments
Taught in English
91%
of learners achieved a positive career outcome
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
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Showing 3 of 2504
NP
Reviewed on Jul 2, 2019
This course provides you starting point to start working in KNIME and helps you in explaining basic statistics concepts along with its application in KNIME and Spark
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.
