Search result for Data pipelines Online Courses & Certifications
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Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
by Avi Ma’ayan, PhD- 4.8
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Approx. 9 hours to complete
Finally, we introduce crowdsourcing/citizen-science projects where students can work together in teams to extract expression signatures from public databases and then query such collections of signatures against LINCS data for predicting small molecules as potential therapeutics. LINCS Data and Signature Generation Centers BD2K-LINCS Data Coordination and Integration Center Analyzing Big Data with Computational Pipelines...
ICS/SCADA Cyber Security
by Ed Galarza- 4.1
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4 hours on-demand video
The electric power grid, water and sewage systems, oil and natural gas pipelines, and many more critical infrastructure utilize Industrial Control Systems/Supervisory Control and Data Acquisition (ICS/SCADA) systems....
$16.99
Network Analysis in Systems Biology
by Avi Ma’ayan, PhD- 4.5
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Approx. 30 hours to complete
An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. Resources for Data Integration - Part 3...
Production Machine Learning Systems
by Google Cloud Training- 4.6
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Approx. 8 hours to complete
The Components of an ML System: Data Transformation + Trainer Lab Intro: Structured data prediction using AI Platform Ingesting data for Cloud-based analytics and ML Data On-Premise Data on Other Clouds Demo: Load data into BigQuery Demo: Automatic ETL Pipelines into GCP Ingesting data for Cloud-based analytics and ML Adapting to Data...
Google Cloud Big Data and Machine Learning Fundamentals
by Google Cloud Training- 4.7
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Approx. 12 hours to complete
This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. Introduction to the Data and Machine Learning on Google Cloud Course Evolution of Google Cloud Big Data Tools...
Data Stream Development via Spark, Kafka and Spring Boot
by Packt Publishing- 4.3
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8 hours on-demand video
Handle high volumes of data at high speed. Architect and implement an end-to-end data streaming pipeline In addition, data processing and analyzing need to be done in real time to gain insights. As big data is no longer a niche topic, having the skillset to architect and develop robust data streaming pipelines is a must for all developers....
$12.99
AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 14 hours to complete
Course 4 covers the next stage of the workflow, setting up models and their associated data pipelines for a hypothetical streaming media company. This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises....
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Azure Data Factory: Hands on practical course (DP 200)
by Amit Navgire- 4.4
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8.5 hours on-demand video
Learn how to use Data Factory from scratch to set up automated data pipelines to and from on-premises and cloud sources. Azure Data Factory is one of the most popular cloud based ETL service available to extract, transform and load data using the rich set of features which it provides....
$14.99
Introduction to Data Engineering
by Rav Ahuja , Priya Kapoor- 4.7
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Approx. 10 hours to complete
This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. Data Pipelines gather data from multiple sources, transform it into analytics-ready data, and make it available to data consumers for analytics and decision-making. ETL, ELT, and Data Pipelines...
Analyze Datasets and Train ML Models using AutoML
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.6
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Approx. 14 hours to complete
In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. Practical Data Science Use case and data set Data ingestion and exploration Data visualization Week 2: Data Bias and Feature Importance...
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