Data Transformation Courses and Certifications

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/week
• Self-Paced
• Free Online Course (Audit)

Building Batch Pipelines in Cloud Data Fusion

Learn to build ETL pipelines using Cloud Data Fusion's Pipeline Studio, exploring built-in plugins and applying data transformations with the Wrangler tool in Google Cloud's environment.

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

JavaScript Data and Applications

Enhance your knowledge of external data sources and asynchronous operations in JavaScript, building a Restaurant Ordering System while mastering modern features for APIs, data transformation, and state management.

• Coursera
• 1 day 4 hours 1 minute
• Self-Paced
• Paid Course

EDUCBA

NumPy & Pandas: Analyze & Transform Data

Master NumPy and Pandas to analyze datasets, perform numerical operations, clean data, handle missing values, and apply real-world data analysis workflows efficiently.

• Coursera
• 10 hours 28 minutes
• Self-Paced
• Paid Course

Packt

Microsoft Power BI Skills

Master Microsoft Power BI to connect, analyze, and visualize data from various sources, creating dynamic dashboards and interactive reports for effective data storytelling.

• Coursera
• 7 hours 55 minutes
• Self-Paced
• Paid Course

EDUCBA

Master Power BI Analytics & Dashboards with DAX

Master business intelligence with Power BI analytics, interactive dashboards, data modeling, and advanced DAX calculations for professional reporting solutions.

• Coursera
• 21 hours 14 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

Packt

Data Modelling Essentials

Master foundational data modeling principles in Power BI by transforming raw data into structured models with robust fact and dimension table relationships for insightful reporting.

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

EDUCBA Credential

Analyze and Visualize Business Data with Power BI

Master Microsoft Power BI through hands-on projects, from data connectivity to advanced DAX calculations and AI-powered dashboards for business intelligence roles.

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

Edureka

Applied Analytics Engineering and Visualization with dbt

Master practical analytics engineering with dbt - refactor models, optimize performance, implement data quality tests, and create executive dashboards for data-driven insights.

• Coursera
• 9 hours 26 minutes
• Self-Paced
• Paid Course

Coursera

Automate, Optimize, and Benchmark Data Pipelines

Master pipeline performance evaluation and automation scripting to build faster, more efficient data systems through benchmarking and configuration-driven workflows.

• Coursera
• 1 hour 58 minutes
• Self-Paced
• Paid Course

Azure Synapse Serverless SQL: Build data analytics solutions

This course focuses on learning how to build data analytics solutions using Azure Synapse Serverless SQL. You will learn the fundamentals and practical application of Azure Synapse Serverless SQL for data analysis.

• edX
• 2 weeks, 1-2 hours/week
• Self-Paced
• Free Online Course (Audit)

Coursera Credential

User Retention Analytics

Master cohort analysis, funnel optimization, and predictive modeling to transform user data into actionable insights that boost retention and drive strategic decisions.

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

Packt

Microsoft Power BI Quick Start Guide

Master data modeling, visualization, and storytelling with Power BI to transform raw data into actionable insights and interactive dashboards for informed decision-making.

• Coursera
• 22 hours 31 minutes
• Self-Paced
• Paid Course

Data Science Fundamentals Part 1: Unit 2

Discover real-world data sourcing through web scraping, APIs, and databases while mastering XML/JSON parsing and ETL pipelines for effective data transformation and analysis.

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