Results for "data+preprocessing+and+feature+engineering"
Pragmatic AI Labs
Skills you'll gain: Prompt Engineering, MLOps (Machine Learning Operations), Data Pipelines, Databricks, Generative AI, Data Lakes, Generative AI Agents, Data Governance, Data Architecture, AI Enablement, Data Modeling, Data Management, Data Processing, Data Strategy, Data Quality, Scala Programming, SQL, Python Programming, Data Visualization, Data Literacy
Skills you'll gain: Ansible, Infrastructure as Code (IaC), Configuration Management, Correlation Analysis, CI/CD, Docker (Software), GitHub, Data Strategy, Collaborative Software, Git (Version Control System), Containerization, Cloud Infrastructure, Data Security, Data Pipelines, Version Control, Continuous Deployment, Continuous Integration, Devops Tools, Kubernetes, Scalability
Skills you'll gain: Data Warehousing, Data Flow Diagrams (DFDs), Data Modeling, Data Pipelines, Ansible, Cloud Security, Diagram Design, Data Validation, Database Design, Apache Airflow, Star Schema, Snowflake Schema, Interviewing Skills, Apache Spark, PySpark, CI/CD, Docker (Software), SQL, Workflow Management, Git (Version Control System)
Skills you'll gain: Dashboard, Conversion Funnel Analysis, Data Preprocessing, Apache Airflow, Star Schema, Data Storytelling, Extract, Transform, Load, Data Transformation, SQL, Data Pipelines, JSON, Apache Kafka, Data Warehousing, Data Modeling, Pandas (Python Package), Business Intelligence, Data Validation, Data Quality, Performance Improvement, Python Programming
Skills you'll gain: Apache Airflow, Data Warehousing, Data Flow Diagrams (DFDs), Data Pipelines, Diagram Design, Data Integration, Data Lakes, Performance Tuning, Data Governance, Cloud Deployment, Data Management, Data Modeling, Data Mapping, Extract, Transform, Load, Trend Analysis, Service Level Agreement, Systems Integration, SQL, Apache Kafka, Python Programming
Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)
What brings you to Coursera today?
Skills you'll gain: Data Strategy, Infrastructure Architecture, Financial Data, Business Modeling, Data-Driven Decision-Making, Database Architecture and Administration, Return On Investment, SQL, Data Transformation, Business Planning, Data Pipelines, Strategic Prioritization, Database Design, Financial Analysis, Business Continuity, Cost Benefit Analysis, Performance Metric
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: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Continuous Integration, Continuous Deployment, Data Infrastructure, Real Time Data, Data Integration, Data Pipelines, Development Environment, Data Management, Data Processing, Automation, Data Storage, File Systems
Skills you'll gain: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment
Skills you'll gain: AWS Kinesis, Data Engineering, Amazon Redshift, Amazon Web Services, Apache Kafka, Cloud Computing Architecture, Data Lakes, Real Time Data, Amazon Elastic Compute Cloud, Data Management, Cloud Engineering, Cloud Management, Interactive Data Visualization, Amazon S3, Data Integration, Data Architecture, Data Migration, Performance Tuning, Serverless Computing, AWS Identity and Access Management (IAM)
Skills you'll gain: NoSQL, Extract, Transform, Load, Database Administration, Apache Spark, Data Warehousing, Web Scraping, Data Pipelines, Apache Hadoop, Database Architecture and Administration, Database Design, Database Management, Relational Databases, Linux Commands, SQL, IBM Cognos Analytics, Generative AI, Professional Networking, Python Programming, Data Analysis, Data Science
In summary, here are 10 of our most popular data+preprocessing+and+feature+engineering courses
- Enterprise AI and Data Engineering with Databricks: Pragmatic AI Labs
- Git, Docker & CI/CD: DevOps Foundations for Data Engineers: Coursera
- Open source Data Engineering with Spark, dbt & Airflow: Coursera
- Data Pipeline Engineering & Analytics: Coursera
- Pipeline Architects: Data Engineering to Lakehouse: Coursera
- Train, Tune, & Ship: End-to-End Machine Learning Engineering: Coursera
- Strategize Your Data Engineering Evolution: Coursera
- DataOps: Automation & Reliability: Coursera
- Mastering Azure Databricks for Data Engineers: Packt
- Data Engineering & Pipeline Reliability for Machine Learning: Coursera
