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.
2,544 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
- Data Access
- Data Manipulation
- Statistical Inference
- Statistical Methods
- Data Quality
- Anomaly Detection
- Machine Learning
- Exploratory Data Analysis
- Data Cleansing
- Data Import/Export
- Data Transformation
- Feature Engineering
- Statistical Hypothesis Testing
- Statistical Analysis
- Probability & Statistics
- Data Analysis
- Data Preprocessing
Tools you'll learn
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 2544
ML
Reviewed on Sep 21, 2021
Excellent, very detailed. However, if the lessons can be expand for hypothesis testing and some of their common test like T test, Anova 1 and 2 way, chi square,..it would be better further.
AR
Reviewed on Jun 15, 2025
I found the course very helpful, It taught me how to extract useful information from data by exploring different visualization and feature engineering tricks.
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.
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