Search result for Genomic data science specialization Online Courses & Certifications
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Introduction to Genomic Data Science
by Pavel Pevzner , Phillip Compeau- 0.0
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Join us on the frontier of bioinformatics and learn how to look for hidden messages in DNA without ever needing to put on a lab coat. In the first half of this course, we'll investigate DNA replication, and ask the question, where in the genome does DNA replication begin? Perhaps surprisingly, we will apply randomized algorithms to solve problems....
$49
Data Science in Stratified Healthcare and Precision Medicine
by Dr Areti Manataki , Dr Frances Wong- 4.6
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Approx. 17 hours to complete
An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. Demystifying Data Science Modelling the Data Medical Imaging Data & Modalities...
Applied Data Science for Data Analysts
by Kevin Coyle , Mark Roepke , Emma Freeman- 4.2
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Approx. 16 hours to complete
In this course, you will develop your data science skills while solving real-world problems. You'll work through the data science process to and use unsupervised learning to explore data, engineer and select meaningful features, and solve complex supervised learning problems using tree-based models. Review of Data Science Data Science Process 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....
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....
Data Science Project: MATLAB for the Real World
by Michael Reardon , Brandon Armstrong , Erin Byrne , Adam Filion , Heather Gorr , Maria Gavilan-Alfonso , Matt Rich , Isaac Bruss- 4.8
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Approx. 13 hours to complete
Like most subjects, practice makes perfect in Data Science. In the capstone project, you will apply the skills learned across courses in the Practical Data Science with MATLAB specialization to explore, process, analyze, and model data. Practical Data Science with MATLAB Data Science Report Requirements Storytelling in Data Science Conclusion of Practical Data Science with MATLAB...
Python for Data Science, AI & Development
by Joseph Santarcangelo- 4.6
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Approx. 17 hours to complete
Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. This course can be applied to multiple Specialization or Professional Certificate programs. Applied Data Science Specialization IBM Data Science Professional Certificate Python Data Structures Working with Data in Python Loading Data with Pandas Pandas: Working with and Saving Data...
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Genomic Data Science and Clustering (Bioinformatics V)
by Pavel Pevzner , Phillip Compeau- 4.2
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Approx. 10 hours to complete
In the second half of the course, we will introduce another classic tool in data science called principal components analysis that can be used to preprocess multidimensional data before clustering in an effort to greatly reduce the number dimensions without losing much of the "signal" in the data....
Basic Data Processing and Visualization
by Julian McAuley , Ilkay Altintas- 4.3
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Approx. 11 hours to complete
This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization. Review: Data Products...
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. Know the advantages of carrying out data science using a structured process Explain where data science and data engineering have the most overlap in the AI workflow...
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