Results for "data+compilation"
Pragmatic AI Labs
Skills you'll gain: Data Pipelines, Extract, Transform, Load, Data Lakes, Databricks, Data Architecture, Data Processing, Data Wrangling, Data Strategy, Data Presentation, Data Mining, Data Management, Data Governance, Data Integrity, Data Science, Live Streaming, SQL, Data Storage, Data Ethics, Data Security, Apache
Coursera
Skills you'll gain: Milestones (Project Management), Timelines, Management Reporting, IT Management, Information Management, Data Management, Data Entry, Technical Communication, Project Documentation, Project Management Office (PMO), Data Architecture, Stakeholder Communications, Project Implementation, Project Risk Management, Project Planning, Project Management Institute (PMI) Methodology, Maintainability
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Model Training, Machine Learning, GitHub
Skills you'll gain: Apache Airflow, Docker (Software), Git (Version Control System), SQL, Data Pipelines, Containerization, CI/CD, Debugging, Ansible, Database Management, Continuous Deployment, Performance Tuning, Infrastructure as Code (IaC), Continuous Integration, Workflow Management, DevOps, Automation, Configuration Management, Root Cause Analysis, Python Programming
Skills you'll gain: Data Analysis, Data Manipulation, Data Wrangling, Data Collection, Data Cleansing, Data Processing, Data Quality, Data Analysis Software, Data Science, Feature Engineering, Data Visualization, Data Presentation, Data Validation, Correlation Analysis, Machine Learning
Skills you'll gain: Data Engineering, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Integration, Data Warehousing, Software Engineering Tools, Data Import/Export, Stored Procedure, Data Sharing, SQL, Data Analysis, GitHub, Microsoft Visual Studio, Command-Line Interface, Application Deployment
What brings you to Coursera today?
Skills you'll gain: Data Flow Diagrams (DFDs), Apache Airflow, Data Pipelines, Diagram Design, Data Mapping, Data Modeling, Data Integration, Data Architecture, Data Warehousing, Apache Spark, Extract, Transform, Load, Database Development, Data Processing, Data Transformation, Configuration Management, Enterprise Security
Pragmatic AI Labs
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Prompt Engineering Tools, Generative AI Agents, LLM Application, OpenAI, Claude Code, Anthropic Claude, Rust (Programming Language), Databricks, Embeddings, MLOps (Machine Learning Operations), Vector Databases, Data Architecture, DevOps, Python Programming, Software Architecture, Scala Programming, Governance
Pragmatic AI Labs
Skills you'll gain: Agentic Workflows, Data Pipelines, CI/CD, AI Workflows, Agentic systems, Technology Roadmaps, DevOps, Build Tools, Development Environment, Data Architecture, TypeScript, Software Documentation, Software Development Tools, Data Processing, Rust (Programming Language), Application Deployment
Skills you'll gain: Data Cleansing, Data Wrangling, Surveys, Survey Creation, Data Transformation, Data Collection, Data Quality, Data Preprocessing, Data Integrity, ChatGPT, Cloud Technologies, Statistical Analysis, Real Time Data
Pragmatic AI Labs
Skills you'll gain: Retrieval-Augmented Generation, Amazon Bedrock, LLM Application, AWS SageMaker, Token Optimization, Large Language Modeling, Amazon Web Services, No-Code Development, Prompt Engineering, Generative AI, AI Orchestration, Model Deployment, Generative AI Agents, Package and Software Management, Model Training, Rust (Programming Language), Model Optimization, Performance Tuning, Data Wrangling
Skills you'll gain: Data Validation, Data Quality, Data Integrity, Debugging, Data Pipelines, Test Automation, Root Cause Analysis, YAML, Generative AI, Test Tools, Anomaly Detection, AI Integrations, CI/CD, Python Programming, Reliability, Performance Tuning, Memory Management
In summary, here are 10 of our most popular data+compilation courses
- Data Engineering with Delta Lake on Databricks:Â Pragmatic AI Labs
- Build Data Tables :Â Coursera
- Data Science: Statistics and Machine Learning:Â Johns Hopkins University
- DataOps: Automation & Reliability:Â Coursera
- Build Your First No-Code Data Workflow:Â Edureka
- Introduction to Modern Data Engineering with Snowflake:Â Snowflake
- Building Automated Data Pipelines with Spark,dbt,and Airflow:Â Coursera
- Generative AI and LLMs on Databricks:Â Pragmatic AI Labs
- AI-Powered Data Pipelines with Deno:Â Pragmatic AI Labs
- The Complete Guide to Data Preparation for Analysis:Â Packt
