Data Preparation Courses and Certifications

Foundations of Artificial Intelligence

Explore the core principles of AI, from history and algorithms to machine learning, ethics, and career opportunities in an AI-driven world.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course

EDUCBA

Analyze & Build a Churn Prediction Model in R

Master customer retention analytics by building and evaluating churn prediction models in R using logistic regression, data preprocessing, and performance metrics like ROC curves.

• Coursera
• 4 hours 45 minutes
• Self-Paced
• Paid Course

Coursera

Optimize AI: Build Reusable Model Pipelines

Master strategic model selection and build standardized ML pipelines using Scikit-learn for efficient, scalable AI workflows in production environments.

• Coursera
• 1 hour 47 minutes
• Self-Paced
• Paid Course

H2O.ai

H2O Driverless AI Starter Course

Master automated machine learning with H2O Driverless AI through hands-on training in data preprocessing, model development, and advanced features like custom recipe creation and hyperparameter tuning.

• Coursera
• 2 hours 29 minutes
• Self-Paced
• Paid Course

H2O.ai

H2O Gen AI Ecosystem Overview - Level 2

Dive into H2O's GenAI platform's advanced capabilities, from data preparation to model deployment, guided by Kaggle Grand Master Sanyam Bhutani through practical techniques and real-world applications.

• Coursera
• 1 hour 11 minutes
• Self-Paced
• Paid Course

EDUCBA

Excel: Apply & Evaluate Unsupervised Clustering

Master unsupervised clustering techniques using Excel's built-in functions to group data, create visualizations, and evaluate analytical outcomes without programming.

• Coursera
• 5 hours 13 minutes
• Self-Paced
• Paid Course

EDUCBA

Deep Learning with R: Build & Predict Neural Networks

Master neural network development in R through hands-on data preparation, visualization, regression modeling, and deep learning implementation with practical predictive applications.

• Coursera
• 9 hours 48 minutes
• Self-Paced
• Paid Course

EDUCBA

Apply Data Analytics Using SPSS Modeler Workflows

Master visual analytics workflows using SPSS Modeler to build end-to-end data science streams, from data preparation to neural networks and actionable business insights.

• Coursera
• 16 hours 25 minutes
• Self-Paced
• Paid Course

EDUCBA

Python: Master House Price Prediction with Linear Regression

Master house price prediction using Python's linear regression through hands-on data preprocessing, feature engineering, and model evaluation with real Ames Housing dataset.

• Coursera
• 6 hours 9 minutes
• Self-Paced
• Paid Course

EDUCBA

Predictive Models: Build, Explore Data & Deploy

Master the complete predictive modeling lifecycle from data exploration to production deployment using real banking data and industry-standard evaluation techniques.

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

Analytics Applications Across the Data & AI Lifecycle

Explore the SAS Viya platform and learn how to transform data into insights, build predictive models, and automate decisions across the full data and AI lifecycle.

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

Tableau Desktop: Part 1

Discover how to transform raw data into compelling visualizations using Tableau Desktop's powerful features for analysis, reporting, and storytelling.

• Coursera
• 16 hours 35 minutes
• Self-Paced
• Paid Course

AWS Glue Getting Started

Discover, prepare, and combine data for analytics, ML, and app development using AWS Glue. Learn key concepts, benefits, and hands-on usage through AWS Management Console demonstrations.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Free Online Course

EDUCBA

Machine Learning Projects in R with Caret

Master hands-on machine learning workflows in R using caret package through real-world projects covering data preprocessing, missing value handling, and clustering techniques.

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

EDUCBA

Analyze Supply Chain Demand Trends Using Heatmaps & Clusters

Master supply chain demand analysis through heatmaps and clustering techniques to uncover meaningful patterns and make data-driven decisions in just over 4 hours.

• Coursera
• 4 hours 16 minutes
• Self-Paced
• Paid Course