Data Preparation Courses and Certifications

Packt

Preprocessing Unstructured Data for LLMs and RAG Systems

Master preprocessing techniques for unstructured data to enhance LLM and RAG systems. Learn document handling, chunking strategies, and metadata extraction while building practical AI applications with modern frameworks.

• Coursera
• 5 hours 56 minutes
• Self-Paced
• Paid Course

Data Science Foundations with No-Code Tools

Discover how to tackle data projects confidently using no-code platforms for acquisition, cleaning, visualization, and model design to solve real business problems.

• Coursera
• 3 hours 15 minutes
• Self-Paced
• Paid Course

Board Infinity

Applied Machine Learning Systems with FastAPI for Developers

Master building production-ready ML systems using Python, scikit-learn, FastAPI, and Docker—covering pipelines, feature engineering, model evaluation, testing, and containerized REST API deployment.

• Coursera
• 21 hours
• Self-Paced
• Paid Course

EDUCBA Career Certificate

Apply Machine Learning for Predictive Business Analytics

Master machine learning techniques to solve business challenges in customer analytics, fraud detection, logistics, and supply chain optimization using R and real-world datasets.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Dataprep: Qwik Start

This is a self-paced lab that takes place in the Google Cloud console. Google Cloud Dataprep is an intelligent data service for visually exploring, cleaning, and preparing data for analysis. Watch the short video Dataprep: Qwik Start - Qwiklabs Preview.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Coursera

TensorFlow Prediction: Identify Penguin Species

Build and evaluate machine learning models using TensorFlow Decision Forests to classify penguin species based on physical measurements, mastering data preprocessing, feature analysis, and model evaluation.

• Coursera
• 1 hour 33 minutes
• Self-Paced
• Paid Course

Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion

Learn to use Wrangler directives in Google Cloud Data Fusion for efficient data transformation and preparation, enhancing your ability to manage and process data effectively.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Coursera

Tidymodels in R: Building tidy machine learning models

Learn to build tidy machine learning models in R for healthcare analytics. Preprocess clinical data, train models, and create a pipeline to predict hospital readmissions using Tidymodels.

• Coursera
• 2 hours 54 minutes
• Self-Paced
• Paid Course

EDUCBA

Credit Default Prediction with Python: Apply & Analyze

Master credit default prediction using Python through logistic regression, decision trees, and ensemble methods with hands-on data preprocessing and model optimization techniques.

• Coursera
• 5 hours 52 minutes
• Self-Paced
• Paid Course

Career Certificate

No-Code Machine Learning and Data Science for Everyone

Discover how to build machine learning models and analyze data using no-code tools, preparing you for data-driven roles across finance, retail, and healthcare industries.

• Coursera
• 8 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coursera

Predictive Models for Financial Risk

Master supervised machine learning for financial risk assessment through hands-on Python projects, data preparation, model validation, and transparent business communication.

• Coursera
• 1 hour 43 minutes
• Self-Paced
• Paid Course

Working with Cloud Dataprep on Google Cloud

Cloud Dataprep is Google's self-service data preparation tool. In this lab, you will learn how to use Cloud Dataprep to clean and enrich multiple datasets using a mock use case scenario of customer info and purchase history.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Pragmatic AI Labs

Fine-Tuning Transformers with Hugging Face

Master transformer fine-tuning with Hugging Face ecosystem, from data preprocessing to model deployment, building production-ready sentiment analysis systems.

• Coursera
• 7 hours 52 minutes
• Self-Paced
• Paid Course

Coursera

Preparing Images for AI Models

Discover essential techniques for sourcing, preprocessing, and augmenting image datasets to train robust diffusion models with production-ready workflows.

• Coursera
• 7 hours 59 minutes
• Self-Paced
• Paid Course

Optimizing Foundation Models

Explore RAG and fine-tuning techniques to enhance foundation model performance using AWS services, vector databases, and agents for multi-step tasks.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course