This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing.
Exploratory Data Analysis for Machine Learning
Exploratory Data Analysis for Machine Learning
This course is part of multiple programs.
Instructors: Joseph Santarcangelo
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2,563 reviews
Intermediate level
Some related experience required
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
95%
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Skills you'll gain
- Statistical Hypothesis Testing
- Data Science
- Data Import/Export
- Data Processing
- Exploratory Data Analysis
- Feature Engineering
- Data Wrangling
- Data Transformation
- Data Preprocessing
- Applied Machine Learning
- Statistics
- Probability & Statistics
- Machine Learning
- Statistical Analysis
- Data Analysis
- Data Access
- Statistical Methods
- Data Manipulation
- Statistical Inference
- Data Cleansing
Details to know
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Taught in English
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There are 5 modules in this course
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Showing 3 of 2563
BD
Reviewed on Apr 23, 2024
The course includes hands-on exercises that allows us to apply the learned EDA techniques to real-world data. This practical approach helps solidify my understanding.
AP
Reviewed on Feb 25, 2023
This course was amazing. I always assumed that EDA was the challenging part of ML, But in this course I found it so cool. can't wait for the next course.
DS
Reviewed on Nov 30, 2020
The only reason that I do not give it 5 stars is because the website of coursera is not good enough to handle the peer review assignments at the end of the course.
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