Cleaning Data for Effective Data Science: Data Ingestion, Anomaly Detection, Value Imputation, and Feature Engineering
With Pearson and David Mertz
Liked by 56 users
Duration: 4h 49m
Skill level: Intermediate
Released: 7/11/2025
Course details
Description
What is this course about?
The course introduces the tools and techniques needed for data ingestion, anomaly detection, value imputation, and feature engineering. Numerous ingested formats are addressed, including JSON, CSV, SQL RDBMS, HDF5, NoSQL databases, and binary serialized data structures. Instructor David Mertz outlines why some problems are peculiar to data representation, while others link to the data in itself. To address untidiness in data, learn how and when to impute missing values, detect unreliable data and statistical anomalies, and generate synthetic features that are necessary for successful data analysis and visualization goals. By the end of this course, you’ll be equipped with highly marketable and in-demand skills in data analysis, machine learning, and data integrity troubleshooting.Note: This course was created by Pearson. We are pleased to host this training in our library.
Instructor
Who teaches this course?
David Mertz, PhD, is a data scientist, author, and former Python Foundation director and Anaconda senior trainer.Objectives
What will I be able to do by the end of this course?
- Analyze and process various data formats including tabular and hierarchical.
- Detect and correct data anomalies and biases effectively.
- Implement data ingestion across diverse formats such as JSON and CSV.
- Apply value imputation techniques tailored to specific analytical purposes.
- Engineer data features to enhance machine learning model performance.
Audience
Who is this course for?
- Database administrators
- Data scientists
- Data analysts
Prerequisites
What do I need to know before taking this course?
- Basic understanding of data structures and formats
- Familiarity with data science principles and tools
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Meet the instructors
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Contents
What’s included
- Learn on the go Access on tablet and phone
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