Overview
Curriculum
Data cleaning is the process of identifying and correcting or removing errors, inconsistencies, and irrelevant information from a dataset. The goal of data cleaning is to prepare the data for further analysis, modeling, or visualization by ensuring that it is accurate, consistent, and relevant.
Courses you might be interested in
In this module, we’ll build the foundational programming knowledge and theory needed to succeed in the bootcamp. By covering essential Python concepts and tools, we’ll set ourselves up for a...
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11 Lessons
$100.00
In this module, we’ll focus on data exploration, visualization, and feature engineering—essential steps in preparing data for analysis. We’ll learn how to use techniques like summary statistics and visual tools...
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14 Lessons
$100.00
In this module, we’ll explore how to turn raw data into compelling visual stories. We’ll learn how to choose the right visualizations for different data types, and apply tools like...
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12 Lessons
$100.00
In this module, we’ll explore how to use predictive modelling to create real business impact. We’ll learn to identify the right opportunities for machine learning, translate business goals into actionable...
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9 Lessons
$100.00