Results for "data science for engineers"
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
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
Northeastern University
Skills you'll gain: Model Training, Natural Language Processing, Embeddings, Model Optimization, Data Ethics, Responsible AI, Deep Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Machine Learning, Artificial Intelligence, Classification Algorithms
Skills you'll gain: Data Warehousing, Star Schema, Data Modeling, Database Design, Extract, Transform, Load, Database Development, Data Integration, Data Infrastructure, Database Architecture and Administration, Database Software, Relational Databases, Database Management, Business Intelligence, Database Theory, Performance Tuning, PostgreSQL, SQL
Northeastern University
Skills you'll gain: Data Storytelling, Generative AI, Text Mining, Data Warehousing, Unsupervised Learning, Database Design, Data Governance, Data Mining, Interactive Data Visualization, Data Presentation, Generative Model Architectures, Web Scraping, Classification Algorithms, PyTorch (Machine Learning Library), Operations Research, Natural Language Processing, NoSQL, Exploratory Data Analysis, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting
Skills you'll gain: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Application Deployment, Software Development, Machine Learning
What brings you to Coursera today?
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)
Duke University
Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, GitHub Copilot, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
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
The Hong Kong University of Science and Technology
Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Analysis, Numerical Analysis, Integral Calculus, Mathematical Software, Calculus, Engineering Calculations, electromagnetics, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Advanced Mathematics, Geometry, Computational Thinking, Simulation and Simulation Software, Mechanics, Scripting
Skills you'll gain: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Continuous Integration, Continuous Deployment, Real Time Data, Data Integration, Data Pipelines, IT Automation, Development Environment, Data Management, Automation, Data Storage, Metadata Management, File Systems
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 science for engineers courses
- Data Pipeline Engineering & Analytics: Coursera
- Enterprise AI and Data Engineering with Databricks: Pragmatic AI Labs
- NLP in Engineering: Concepts & Real-World Applications: Northeastern University
- Data Modeling & Warehousing Fundamentals in Data Engineering: Coursera
- Master of Science in Data Analytics Engineering: Northeastern University
- Machine Learning and Deep Learning for Software Engineers: Board Infinity
- Open source Data Engineering with Spark, dbt & Airflow: Coursera
- Applied Python Data Engineering: Duke University
- Data Engineering Foundations: IBM
- Mathematics for Engineers: The Hong Kong University of Science and Technology
