Data Preprocessing Courses and Certifications

Data Preprocessing For Machine Learning

Master essential data preprocessing techniques for machine learning, from handling missing values and encoding features to scaling data and creating effective train-test splits.

• CodeSignal
• On-Demand
• Free Certificate

Data Preprocessing for Predictive Modeling

Master data preprocessing techniques for predictive modeling, covering missing values, outliers, feature selection, and normalization using the California Housing Dataset as a practical example.

• CodeSignal
• On-Demand
• Free Certificate

Corporate Finance Institute

Data Prep for Machine Learning in Python

Master data preparation techniques for machine learning in Python, from importing and cleaning to feature engineering and selection. Learn imputation, EDA, and transformations for optimal ML model performance.

• Coursera
• 5 hours 47 minutes
• On-Demand
• Free Online Course (Audit)

University System of Maryland;  University of Maryland, Baltimore County

Data Preprocessing for Data Science

Learn essential techniques for cleaning, transforming, and preparing data for analysis and machine learning using Python, NumPy, and scikit-learn.

• edX
• 4 weeks, 5-7 hours a week
• On-Demand
• Free Online Course (Audit)

Chemometrics & Machine Learning in Copenhagen

Preprocessing Revisited

Explore new developments in chemometric preprocessing, including multi-block strategies and Variable Sorting for Normalization, to reduce unwanted variability in experimental data.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Valerio Velardo - The Sound of AI

Music Genre Classification - Preparing the Dataset

Learn to preprocess audio data for music genre classification, including extracting MFCCs and labels from the Marsyas dataset and saving in a JSON format for easy retrieval during classifier training.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Valerio Velardo - The Sound of AI

Preprocessing Song Dataset for Melody Generation

Collate encoded songs, create integer mapping for symbolic notation, and prepare data for neural network ingestion in melody generation preprocessing.

• YouTube
• 28 minutes
• On-Demand
• Free Video

CodeWithHarry

Data Preprocessing in Python

Learn to transform raw text into structured lists and CSVs using Python, enhancing data organization and analysis skills for practical applications.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Nicholas Renotte

Using Scikit-Learn Pipelines for Data Preprocessing with Python

Deep dive into Scikit-Learn Pipelines for efficient data preprocessing in Python, enhancing your machine learning workflow and streamlining model development.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Chemometrics & Machine Learning in Copenhagen

Preprocessing: Centering and Scaling in Chemometric Machine Learning

Learn techniques for centering and scaling data to enhance information in chemometric machine learning contexts like PCA and PLS models.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Convert Categorical Variables into Quantitative Variables

This course will introduce basic methods to convert categorical variables into quantitative variables for analysis using Python. Without properly prepared data, your model is likely to be inaccurate or incomplete.

• Pluralsight
• 19 minutes
• On-Demand
• Free Trial Available

MLOps World: Machine Learning in Production

Good, Fast, Cheap - How to Do Data Science with Missing Data

Explore strategies for handling missing data in data science projects, including visualization, identification, and practical implementation techniques for effective workflow integration.

• YouTube
• 1 hour 41 minutes
• On-Demand
• Free Video

Data Science Festival

Data Preprocessing and Feature Engineering for Machine Learning

Master data preprocessing and feature engineering techniques for effective machine learning. Explore imputation, encoding, transformations, and more to maximize value from your data and improve model performance.

• YouTube
• 40 minutes
• On-Demand
• Free Video

UofU Data Science

Demystifying Data Curation for Pretrained Language Models

Dive into effective data curation techniques for language models, exploring key strategies and best practices for optimizing pretrained model performance through quality dataset preparation.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Analítica y ciencia de datos para negocios

37 ratings at Coursera

Aplica principios de analítica y ciencia de datos en negocios, enfocándose en preprocesamiento, manejo de datos faltantes, detección de outliers, normalización y reducción dimensional.

• Coursera
• 20 hours 24 minutes
• On-Demand
• Free Online Course (Audit)