Results for "data preprocessing and feature engineering"
Status: Free TrialGoogle Cloud
Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Real Time Data, Machine Learning, Data Storage
Status: Free TrialSkills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science
Status: Free TrialStatus: AI skillsSkills you'll gain: NoSQL, Apache Spark, Data Warehousing, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, SQL, IBM Cognos Analytics, MySQL, Database Administration, Data Store, Generative AI, Professional Networking, Data Import/Export, Python Programming, Data Analysis, Data Science
Status: NewSkills you'll gain: Matplotlib, Applied Machine Learning, Data Visualization, Supervised Learning, Statistics, Predictive Modeling
Status: Free TrialSkills you'll gain: Web Scraping, Database Design, SQL, MySQL, Data Transformation, Data Store, IBM DB2, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Databases, Data Warehousing, Data Governance, Database Management Systems, Relational Databases, Stored Procedure, Data Import/Export, Programming Principles, Python Programming
Status: Free TrialSkills you'll gain: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Real Time Data, Data Integration, PySpark, Data Pipelines, Data Management, Automation, Data Storage, Jupyter, System Testing, File Systems, Data Quality, User Provisioning, Performance Tuning
What brings you to Coursera today?
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Applied Machine Learning, Statistical Machine Learning, Algorithms
Status: Free TrialSkills you'll gain: Feature Engineering, PySpark, Data Import/Export, Apache Spark, Apache Hadoop, Dashboard, Cloud Services, Applied Machine Learning, Apache Hive, Application Programming Interface (API), Jupyter, Data Quality, Big Data, Data Cleansing, Data Transformation, Artificial Intelligence and Machine Learning (AI/ML), Data Validation, Looker (Software), Scalability, SQL
Status: NewStatus: Free TrialGoogle
Skills you'll gain: Data Wrangling
Status: Free TrialDuke 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
Status: NewStatus: Free TrialSkills you'll gain: Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Cleansing, Data Import/Export
Status: Free TrialMultiple educators
Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Architecture, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Apache Hadoop, Extract, Transform, Load, Data Lakes, Amazon Web Services, File Systems, Apache Spark, Database Systems, Feature Engineering, Data Integration, AWS Kinesis, Data Management
In summary, here are 10 of our most popular data preprocessing and feature engineering courses
- Feature Engineering: Google Cloud
- Introduction to Data Engineering: IBM
- IBM Data Engineering: IBM
- AI Engineer Explorer Course: Packt
- Data Engineering Foundations: IBM
- Mastering Azure Databricks for Data Engineers: Packt
- Applied Natural Language Processing in Engineering Part 2: Northeastern University
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
- Clean Your Data: Google
- Python, Bash and SQL Essentials for Data Engineering: Duke University
