Search result for Best data engineering courses Online Courses & Certifications
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AI Workflow: Feature Engineering and Bias Detection
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 12 hours to complete
Explain the ethical considerations regarding bias in data Use topic modeling and visualization to explore text data Employ outlier handling best practices in high dimension data Data transforms and feature engineering Pattern recognition and data mining best practices Pattern Recognition and Data Mining Best Practices: Summary/Review Pattern Recognition and Data Mining Best Practices: End of Module Quiz...
Machine Learning Engineer
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster- 0.0
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3 months
Become a machine learning engineer and apply predictive models to massive data sets in fields like education, finance, healthcare or robotics. Learn advanced machine learning deployment techniques and software engineering best practices. These skills can also be applied in roles at companies that are looking for data scientists to introduce machine learning techniques into their organization....
$399
Security Awareness Training
by (ISC)² Education & Training- 4.6
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Approx. 2 hours to complete
One of the best ways to protect the organization is to institute a company-wide security-awareness training initiative. • Data and Account Security • Social Engineering Data and Account Security Data and Account Security Social Engineering Social Engineering...
Predictive Modeling and Machine Learning with MATLAB
by Heather Gorr , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Adam Filion , Erin Byrne , Sam Jones- 4.7
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Approx. 22 hours to complete
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB and Data Processing and Feature Engineering with MATLAB to increase your ability to harness the power of MATLAB to analyze data relevant to the work you do. Data and Code Files Variables in the Taxi Data...
Unix Tools: Data, Software and Production Engineering
by Diomidis Spinellis- 0.0
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6 Weeks
The power of Unix tools for exploring, prototyping and implementing big data processing workflows, and software engineering tasks remains unmatched. Data analysts can extract, transform, filter, process, load, and summarize huge data sets. _ ___ Class Central: Best Online Courses of the Year (2021 edition) Use files, data pipelines, variables and control structures...
$50
An Introduction to Google Cloud Platform for Data Engineers
by Mike West- 4.2
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3 hours on-demand video
This is the first course in a series of courses designed to help you attain the coveted Google Certified Data Engineer. In the course we will cover all the basics of the platform and be prepared to move into the more advanced data engineering specific courses. 5) Limited Data Engineering Courses...
$15.99
R: Data Analysis with R - Step-by-Step Tutorial!: 3-in-1
by Packt Publishing- 4.4
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5 hours on-demand video
An all inclusive guide to get well versed with classifying and clustering data with R! Are you looking forward to get well versed with classifying and clustering data with R? He teaches courses on topics such as Analyzing Big Data, Business Analytics and Data Mining, Twitter and Text Analytics, Applied Decision Techniques, Operations Management, and Data Science for Business....
$12.99
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AI Workflow: Business Priorities and Data Ingestion
by Mark J Grover , Ray Lopez, Ph.D.- 4.3
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Approx. 8 hours to complete
Specifically, the courses in this specialization are meant for practicing data scientists who are knowledgeable about probability, statistics, linear algebra, and Python tooling for data science and machine learning. Explain where data science and data engineering have the most overlap in the AI workflow Explain the purpose of testing in data ingestion Data Engineering...
MLOps (Machine Learning Operations) Fundamentals
by Google Cloud Training- 4
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Approx. 16 hours to complete
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models. Software Engineers looking to develop Machine Learning Engineering skills. Data Scientists’ Pain Points...
Machine Learning Rapid Prototyping with IBM Watson Studio
by Mark J Grover , Meredith Mante- 4.6
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Approx. 9 hours to complete
An emerging trend in AI is the availability of technologies in which automation is used to select a best-fit model, perform feature engineering and improve model performance via hyperparameter optimization. This automation will provide rapid-prototyping of models and allow the Data Scientist to focus their efforts on applying domain knowledge to fine-tune models....
