Data Preparation Courses and Certifications

Computation and Visualization for Analytics Part 1

Master Python and R visualization tools to transform raw data into compelling visual stories for engineering, healthcare, and manufacturing applications.

• Coursera
• 1 day 12 hours 39 minutes
• Self-Paced
• Paid Course

Introduction to Machine Learning and Algorithmic Bias

Explore AI and machine learning fundamentals while mastering algorithmic bias detection and mitigation strategies for responsible business applications.

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

Whizlabs

AWS: Machine Learning & MLOps Foundations

Master foundational ML concepts, model evaluation, and MLOps using AWS services like SageMaker to build end-to-end workflows and prepare for MLA-C01 certification.

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

Coursera

Snowflake for Data Science: Intro to Snowpark ML for Python

Learn to build end-to-end machine learning workflows using Snowpark ML for Python. Master data preprocessing, model training, and deployment in Snowflake's data cloud environment.

• Coursera
• 2 hours 40 minutes
• Self-Paced
• Paid Course

Coursera

Alteryx Mastery: Data Analytics & Workflow Automation

Master Alteryx's no-code platform to automate data workflows, streamline analytics, and build enterprise-grade reporting solutions in just 3+ hours.

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

Working with Notebooks in Vertex AI

Explore Vertex AI Notebooks: a unified Jupyter-based platform for machine learning workflows. Learn about notebook types, features, creation, and management in Google Cloud's ML environment.

• Coursera
• 2 hours 34 minutes
• Self-Paced
• Paid Course

Data Literacy in Practice

Learn practical skills to explore and visualize data, following a small business owner's journey. Gain abilities to prepare data, conduct analysis, and share insights using visualizations, suitable for beginners.

• Coursera
• 1 hour 16 minutes
• Self-Paced
• Paid Course

Introduction to Vertex Forecasting and Time Series in Practice

Learn to build forecasting solutions using Google Cloud, covering sequence models, time series analysis, and end-to-end workflows with Vertex AI. Gain practical skills through retail use cases and hands-on model development.

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

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
• Self-Paced
• Paid Course

AI for Research & Analysis

Discover how to leverage AI tools like TensorFlow and Scikit-learn for faster research insights, data analysis, and ethical decision-making across academic and corporate domains.

• Coursera
• 1 day 3 hours 38 minutes
• Self-Paced
• Paid Course

Visual Analytics

Master visual analytics using Tableau, from foundational visualizations to advanced LOD expressions, spatial analytics, and interactive dashboards for data-driven storytelling.

• Coursera
• 9 weeks, 10 hours a week
• Self-Paced
• Paid Course

LLM Fine-Tuning and Customization Training

Master LLM fine-tuning with PEFT, RLHF, and supervised methods. Optimize domain-specific models, prepare datasets, tune hyperparameters, and deploy using GenAI frameworks through hands-on demos.

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

Foundations of No-Code AI for Real-World Applications

Unlock AI development without coding using no-code platforms to build, configure, and deploy applications solving real business problems across diverse sectors.

• Coursera
• 2 hours 38 minutes
• Self-Paced
• Paid Course

Boost Productivity with Gemini in BigQuery

Master AI-driven features in BigQuery for enhanced data exploration, code generation, and workflow visualization. Hands-on labs and practical examples accelerate your data-to-AI development process.

• Coursera
• 5 hours 27 minutes
• Self-Paced
• Paid Course

Fundamentals of Data Science in Healthcare

Discover how to transform raw clinical data into analysis-ready datasets using healthcare standards like ICD-10, SNOMED CT, and FHIR while mastering data quality, preprocessing, and HIPAA compliance.

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