Online Courses Catalog

University of Maryland, College Park

Learn how to identify suitable data sources, develop analysis plans, and apply a general framework to assess and quantify data quality and errors.

Board Infinity

Understand key data governance principles and workflows using Databricks tools for data quality, metadata management, and security implementation.

The State University of New York

Gain expertise in Big Data science and bioinformatics to analyze biological and medical datasets, including advanced sequencing data in healthcare contexts.

Fractal Analytics

Explore how structured and unstructured data drive generative AI applications and learn to design data frameworks that improve AI relevance and reduce errors.

Banco Interamericano de Desarrollo

Beginner course strengthening skills to use data for decision-making and policy design by analyzing and interpreting data and visualizations effectively.

Microsoft

Focus on data cleaning and correction using Copilot in Excel, handling missing values, duplicates, and standardizing data types efficiently.

Microsoft

Learn to use Microsoft Excel for data preparation and analysis in business contexts, utilizing formulas and functions effectively.

Microsoft

Learn data extraction from multiple sources, cleaning, and transformation using Power Query in Power BI to prepare data for modeling and reporting.

Coursera

A hands-on beginner course that enhances data entry and management skills in enterprise systems using keyboard shortcuts and bulk upload techniques for accuracy and speed.

IBM

Apply advanced data engineering skills in a real-world project, designing and implementing a data analytics platform using diverse tools and technologies.

Edureka

Gain skills to design, build, monitor, and deploy production-ready data pipelines using Apache Airflow for workflow orchestration.

Pragmatic AI Labs

Design, implement, and monitor production data pipelines using Delta Live Tables and the Medallion Architecture on Databricks platform.

Snowflake

Learn to build modern, continuous data pipelines with Snowflake focusing on practical concepts and tools for rapid pipeline development.

Amazon Web Services

Learn core data engineering concepts and AWS tools for data discovery, automation, infrastructure as code, security, and networking relevant to data solutions.

Whizlabs

This course covers data collection methods, handling missing data, and feature extraction techniques using AWS tools in the context of machine learning.

IBM

This course prepares learners for entry-level data engineering roles, covering job functions, career paths, and essential job search strategies including resumes and interviews.

Coursera

Learn practical data cleaning and transformation techniques to produce reliable datasets for machine learning using Python and pandas, focusing on data quality and validation.

Meta

Learn to use spreadsheets and SQL for data cleaning, analysis, and creating interactive visualizations with multiple tools.

Tableau Learning Partner

Gain foundational knowledge of the entire data ecosystem, including data management, quality, and governance relevant for business intelligence.

University of London

Learn to use JavaScript and data to transform static web pages into dynamic applications by manipulating JSON, REST APIs, and template engines.

Northeastern University

In the Data-Driven Systems: DBMS, SQL & Data Modeling course, you will gain an essential foundation in database theory and skills, exploring key concepts and architecture within a data-centric system context.

University at Buffalo

Learn to apply process improvement goals by collecting and analyzing data, and mapping material and information flows using structured methodologies.

University of Glasgow

This course explores the growing importance of agility in leadership and how information communication disrupts traditional leadership structures in complex environments.

University of Glasgow

Explore traditional leadership history and models, assessing their relevance and challenges in the digital age with data-driven insights.