Search result for Data science workflow Online Courses & Certifications
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AI Workflow: Data Analysis and Hypothesis Testing
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
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Approx. 11 hours to complete
This is the second course in the IBM AI Enterprise Workflow Certification specialization. List several best practices concerning EDA and data visualization 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....
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. Practical Data Science with MATLAB Data and Code Files...
Introduction to High-Performance and Parallel Computing
by Shelley Knuth , Thomas Hauser- 3.4
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Approx. 18 hours to complete
*Quantifying the processing, data, and cost requirements for a computational project or workflow This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. Data vs....
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. The Practical Data Science Specialization helps you develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker....
AI Workflow: Enterprise Model Deployment
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
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Approx. 9 hours to complete
This is the fifth course in the IBM AI Enterprise Workflow Certification specialization. Build a data ingestion pipeline using Apache Spark and Apache Spark streaming 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....
Build, Train, and Deploy ML Pipelines using BERT
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.7
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Approx. 10 hours to complete
Practical data science is geared towards handling massive datasets that do not fit in your local hardware and could originate from multiple sources. The Practical Data Science Specialization helps you develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker....
Python Programming For absolute beginners : Hands-on Python
by Ankit Mistry- 4.4
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6.5 hours on-demand video
Learn Python programming, Machine learning, Data Science with 100+ quizzes, Numpy, Pandas, Matplotlib, Scikit-learn Welcome to the course on Python programming for Data Science and Machine Learning course. Data Science with Python section added Complete Data Science and Machine Learning Workflow I hope you are excited to enter world of python data science and machine learning....
$12.99
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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
This is the fourth course in the IBM AI Enterprise Workflow Certification specialization. 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. Generalizing Well to Unseen Data...
MongoDB Aggregation Framework
by Nathan Leniz , Kirby Kohlmorgen- 4.6
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Approx. 19 hours to complete
This course will teach you how to perform data analysis using MongoDB's powerful Aggregation Framework. By the end of this course you'll understand how to best use MongoDB and its Aggregation Framework in your own data science workflow. Tree-like Data in Individual Documents (Part 1) Tree-like Data in Individual Documents (Part 2)...
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
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. While it showcases the automated AI capabilies of IBM Watson Studio with AutoAI, the course does not explain Machine Learning or Data Science concepts. Data Science workflow Automated Data Preparation and Model Selection...
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