Overview
Curriculum
Data transformation is a process of modifying and converting raw data into a clean, structured, and organized format that is ready for further analysis and modeling. This process can involve several different steps such as merging data from multiple sources, reshaping the data to make it consistent, and grouping data to help reveal patterns and insights. The end result is a dataset that is standardized, optimized, and well-suited for statistical modeling and other types of data analysis.
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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8 Lessons
$100.00