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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Gain insight into a topic and learn the fundamentals.
2,558 reviews
Intermediate level
Some related experience required
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
95%
Most learners liked this course
Skills you'll gain
- Statistical Analysis
- Data Import/Export
- Data Access
- Machine Learning
- Data Manipulation
- Statistical Inference
- Data Analysis
- Statistical Methods
- Statistical Hypothesis Testing
- Data Preprocessing
- Anomaly Detection
- Data Science
- Data Cleansing
- Exploratory Data Analysis
- Feature Engineering
- Applied Machine Learning
- Probability & Statistics
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 2558
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.
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.
V
Reviewed on Jun 9, 2021
Very nice course which explains beautifully about data cleaning and the statistical approach and then statistic model and then it ends with the hypothesis testing.
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