YouTube1 lesson
Krish Naik works through exploratory data analysis and the feature engineering that follows from it, in one session.
The missing values, the distributions, the outliers and the relationships between columns — then what to do about each of them.
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1 lesson, about 3 hours
A single session, about 3 hours, published on YouTube by WsCube Tech. Watched here on the course page.
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A single session on data science, about 10 hours, published on YouTube by edureka!. Watched here on the course page.
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A single session, about 1 hour, published on YouTube by Onur Baltaci. Watched here on the course page.
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Eleven hours on cloud computing from first principles: what the cloud is, how the service models differ, and the tooling a practitioner meets first. Taught in Hindi.
1 lesson, about 9 hours
A single session on data science, about 9 hours, published on YouTube by Intellipaat. Watched here on the course page.
1 lesson, about 6 hours
A single session on data science, about 6 hours, published on YouTube by freeCodeCamp.org. Watched here on the course page.
2 hours
Exploratory Data Analysis (EDA)
Two and a quarter hours of exploratory data analysis in Python, taught in Hindi.
1 hour
Exploratory Data Analysis (EDA)
A live session working one real dataset end to end, from first look to engineered features.
