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
Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Data Store, Real Time Data, Machine Learning, Data Storage
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: Database Design, Performance Tuning, Data Warehousing, Apache Spark, Data Architecture, SQL, Query Languages, Data Transformation, Disaster Recovery, Database Management, PySpark, Infrastructure as Code (IaC), Cloud Computing Architecture, Distributed Computing, Scalability, Data Pipelines, Performance Analysis, Root Cause Analysis, Cost Management, Resource Management
Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Apache Kafka, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Application Programming Interface (API), Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services
Skills you'll gain: Dashboard, Data Preprocessing, Apache Airflow, Star Schema, Data Storytelling, Process Mapping, 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 Pipelines, SQL, Apache Airflow, Extract, Transform, Load, JSON, Pandas (Python Package), Data Manipulation, Data Warehousing, Database Design, Star Schema, Data Transformation, Performance Tuning, Real Time Data, Big Data, Data Validation, Performance Analysis, Data Quality, Time Series Analysis and Forecasting
Skills you'll gain: Extract, Transform, Load, NoSQL, Apache Spark, Data Warehousing, Web Scraping, Database Administration, Apache Hadoop, Database Design, Relational Databases, Linux Commands, Data Pipelines, SQL, IBM Cognos Analytics, Database Management, Generative AI, Professional Networking, Data Import/Export, Python Programming, Data Analysis, Data Science
Duke University
Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science
KodeKloud
Skills you'll gain: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Big Data, Data Preprocessing, Feature Engineering, Model Deployment, CI/CD, Pandas (Python Package), Data Transformation
Skills you'll gain: Extract, Transform, Load, Web Scraping, Database Design, SQL, IBM DB2, Database Management, Relational Databases, Data Architecture, Data Pipelines, Databases, Big Data, Data Storage Technologies, Unit Testing, Data Storage, Stored Procedure, Data Import/Export, SQL Server Integration Services (SSIS), Programming Principles, PostgreSQL, Python Programming
Multiple educators
Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Architecture, Requirements Analysis, Data Warehousing, Query Languages, Data Preprocessing, Apache Hadoop, Vector Databases, Data Lakes, Amazon Web Services, File Systems, Apache Spark, Database Systems, Feature Engineering, Dataflow, Data Integration, Data Management
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
- Feature Engineering: Google Cloud
- Data Engineering with Delta Lake on Databricks: Pragmatic AI Labs
- Performance Engineering for Data Systems: Coursera
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
- Data Pipeline Engineering & Analytics: Coursera
- Data Pipelines and SQL for Product Analytics: Coursera
- IBM Data Engineering: IBM
- Python, Bash and SQL Essentials for Data Engineering: Duke University
- Data Engineering Essentials: KodeKloud
