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)
Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Model Optimization, Dataflow, Tensorflow, Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Applied Machine Learning, Data Modeling, Data Store, Real Time Data, Machine Learning
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: 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
What brings you to Coursera today?
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: Extract, Transform, Load, Web Scraping, Database Design, SQL, IBM DB2, Database Management, Data Store, Relational Databases, Database Systems, Data Architecture, Data Pipelines, Databases, Big Data, Data Storage Technologies, Unit Testing, Data Storage, Database Development, Python Programming, NumPy, Data Analysis
Skills you'll gain: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Metadata Management, Data Storage, Data Quality, Data Cleansing, Machine Learning Methods
Multiple educators
Skills you'll gain: Data Store, Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Storage Technologies, Data Architecture, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Data Preprocessing, Apache Hadoop, Requirements Elicitation, Vector Databases, Extract, Transform, Load, Data Lakes, Data Integration, Infrastructure as Code (IaC), Data Management
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
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
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
- Feature Engineering: Google Cloud
- Mastering Azure Databricks for Data Engineers: Packt
- Data Pipeline Engineering & Analytics: Coursera
- Data Engineering & Pipeline Reliability for Machine Learning: Coursera
- Data Engineering Foundations: IBM
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
- DeepLearning.AI Data Engineering: DeepLearning.AI
