Columbia University - Machine Learning for Data Science and Analytics
5.0 /5- Offered byedX
- Private Institute
Machine Learning for Data Science and Analytics at edX Overview
Machine Learning for Data Science and Analytics
at edX
Upskilling is a better roadmap to success. Enroll in this course to learn critical principles of Machine Learning through real-life case studies & examples
Duration | 25 hours |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Machine Learning for Data Science and Analytics
Table of contents
Machine Learning for Data Science and Analytics at edX Highlights
Machine Learning for Data Science and Analytics
at edX
- Earn a certificate of learning on course completion
- This course is offered by Columbia University
- Add a Verified Certificate for Rs 7,388
- Start instantly and learn at your own schedule.
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Machine Learning for Data Science and Analytics at edX Course details
Machine Learning for Data Science and Analytics
at edX
Skills you will learn
More about this course
- Machine Learning is a growing field that is used when searching the web, placing ads, credit scoring, stock trading and for many other applications
- This data science course is an introduction to machine learning and algorithms. You will develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics. We will also examine why algorithms play an essential role in Big Data analysis.
Machine Learning for Data Science and Analytics at edX Curriculum
Machine Learning for Data Science and Analytics
at edX
What machine learning is and how it is related to statistics and data analysis
How machine learning uses computer algorithms to search for patterns in data
How to use data patterns to make decisions and predictions with real-world examples from healthcare involving genomics and preterm birth
How to uncover hidden themes in large collections of documents using topic modeling
How to prepare data, deal with missing data and create custom data analysis solutions for different industries
Basic and frequently used algorithmic techniques including sorting, searching, greedy algorithms and dynamic programming
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Machine Learning for Data Science and Analytics at edX Students Ratings & Reviews
Machine Learning for Data Science and Analytics
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5/5
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Machine Learning for Data Science and Analytics
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