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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2,570 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
- Data Manipulation
- Data Access
- Data Cleansing
- Statistical Hypothesis Testing
- Feature Engineering
- Data Preprocessing
- Data Transformation
- Exploratory Data Analysis
- Data Wrangling
- Data Processing
- Statistical Analysis
- Machine Learning
- Statistics
- Statistical Methods
- Probability & Statistics
- Applied Machine Learning
- Data Science
- Data Analysis
- Data Import/Export
- Statistical Inference
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 2570
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.
AS
Reviewed on Aug 15, 2021
IBM courses are most valuable courses, quite a lot of learning happens here. I recommend students when it is time to chose a Brand IBM can be considered in top 5 List. Happy learning.
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