Advanced Techniques in pandas
Course
1873 Learners Already enrolled4.6
(126)
- Understand efficient indexing and selection techniques for data manipulation.
- Become proficient with conditional data extraction and data set condition application.
- Gain expertise in aggregating data, managing group operations and interacting with complex grouping methods.
- Acquire proficiency in preprocessing data, pivot table management, and handling missing values.
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There are 5 modules in this course
This course contains a lot of useful functions for a future data analyst. You will learn different ways of extracting data and even set conditions on it. After it, you will be familiar with the methods of grouping data. Also, you will learn how to preprocess data. Each section has its data set so that the course will be gripping.- Checking for Missing ValuesPreview
- Calculating the Number of Missing ValuesPreview
- What Will We Do With the NaN Values?Preview
- How to Delete Only NaN Values?Preview
- Filling In the Missing ValuesPreview
- Managing Categorical VariablesPreview
- Checking the Column TypePreview
- Managing an Incorrect ColumnPreview
- Renaming the ColumnPreview
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