Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "data synthesis"
Status: NewStatus: Free TrialCoursera Instructor Network
Skills you'll gain: Apache Kafka, Data Warehousing, Extract, Transform, Load, Microsoft SQL Servers, Snowflake Schema, Star Schema, Performance Tuning, Data Pipelines, Cloud Computing Architecture, Business Intelligence, Real Time Data, Apache Hadoop, Data Modeling, Data Quality, Responsible AI, Apache Spark, SQL, Generative AI, Data Governance, Quality Management
Status: NewStatus: Free TrialFractal Analytics
Skills you'll gain: Responsible AI, Data Governance, Data Strategy, Data Ethics, Data Management, Data Pipelines, Data Architecture, Generative AI, Metadata Management, Data Store, Governance, Data Loss Prevention, Data Security, Interoperability, Data Integrity, Docker (Software), Data Storage, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence
Status: Free TrialSkills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing, Python Programming
Status: NewStatus: Free TrialSkills you'll gain: Presentations, Prompt Engineering, Responsible AI, Verbal Communication Skills, Sampling (Statistics), Excel Formulas, Spreadsheet Software, Generative AI, Data Analysis
Status: NewStatus: Free TrialSkills you'll gain: Data Wrangling, Data Import/Export
Status: NewStatus: Free TrialGoogle
Skills you'll gain: Data Wrangling
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases
Status: Free TrialSkills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Responsible AI, Data Warehousing, Data Ethics, Data Infrastructure, AI Product Strategy, Data Architecture, Data Mining, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Analysis, Machine Learning
Status: NewStatus: Free TrialSkills you'll gain: Integrated Development Environments, Computer Networking, Database Management, Real Time Data, Data Analysis Expressions (DAX), Application Development
Status: Free TrialJohns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R (Software), R Programming, Data Mapping, Statistical Reporting, Web Applications, Package and Software Management
Status: NewStatus: Free TrialSkills you'll gain: AWS SageMaker, Exploratory Data Analysis, Feature Engineering, Dashboard, Interactive Data Visualization, Data Presentation, Data Visualization, Data Pipelines, Project Documentation, Solution Delivery, Data Storytelling, Amazon Web Services, Data Analysis, Data Integration, Technical Documentation, Business Intelligence, Cloud Infrastructure, Technical Communication, Automation, Project Management
Status: NewStatus: Free TrialSkills you'll gain: Extract, Transform, Load, Data Integration, Databases, Data Warehousing, Data Cleansing, Data Import/Export, Data Migration, Data Manipulation, Software Installation, Data Transformation, Software Versioning, Version Control
In summary, here are 10 of our most popular data synthesis courses
- Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI: Coursera Instructor Network
- Modern Data Strategy for Enterprise Generative AI: Fractal Analytics
- Databases and SQL for Data Science with Python: IBM
- Fast-Track Data Analysis and Presentations: Google
- Data Structures in Python: Google
- Clean Your Data: Google
- Data Science Fundamentals Part 1: Unit 2: Pearson
- Generative AI for Data Engineers: IBM
- Advanced Python for Data Analysis: Build & Optimize: EDUCBA
- Developing Data Products: Johns Hopkins University
