Search result for Genomic data science specialization Online Courses & Certifications
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Data Manipulation at Scale: Systems and Algorithms
by Bill Howe- 4.3
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Approx. 20 hours to complete
The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales. Describe common patterns, challenges, and approaches associated with data science projects, and what makes them different from projects in related fields....
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
List several best practices concerning EDA and data visualization Describe strategies for dealing with missing data 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. Data Analysis Introduction to Data Visualizations...
Data Structures and Performance
by Christine Alvarado , Mia Minnes , Leo Porter- 4.8
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Approx. 42 hours to complete
Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets. You will explain how these data structures make programs more efficient and flexible. Welcome (Object Oriented Java Programming: Data Structures and Beyond Specialization) In the Real World: Data Abstraction When I struggled: Data structures...
Project Planning and Machine Learning
by David Sluiter- 4.7
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Approx. 17 hours to complete
This course can also be taken for academic credit as ECEA 5386, part of CU Boulder’s Master of Science in Electrical Engineering degree. * How basic file systems operate, and types of file systems used to store big data Big Data Analytics Segment 1 - Learning Outcomes, Definition of Big Data...
Learning Path: Python:Data Visualization with Matplotlib 2.x
by Packt Publishing- 3.8
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10.5 hours on-demand video
Perform data visualization and represent data in the right way with Matplotlib 2. Customize and represent data in 3D Create data visualizations on 2D and 3D charts in the form of bar charts, bubble charts, heat maps, histograms, scatter plots, stacked area charts, swarm plots, and much more Leverage the various aspects of data visualization and plots...
$9.99
AI Workflow: Enterprise Model Deployment
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
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Approx. 9 hours to complete
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. Introduction to Data at Scale Data at scale: Through the Eyes of Our Working Example...
Algorithms: Design and Analysis, Part 1
by Tim Roughgarden- 0.0
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6 Weeks
This specialization is an introduction to algorithms for learners with at least a little programming experience. This specialization is an introduction to algorithms for learners with at least a little programming experience. The specialization is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. Data structures (heaps, balanced search trees, hash tables, bloom filters)...
$149
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Cloud Computing Foundations
by Noah Gift- 4.7
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Approx. 19 hours to complete
This course is ideal for beginners as well as intermediate students interested in applying Cloud computing to data science, machine learning and data engineering. Specialization Project Roadmap: Course 1 Copy Hugo Data into AWS Cloud9 S3 Bucket...
Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
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Approx. 6 hours to complete
A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference, and modeling as well as interpretations of these results in the context of the data and the research question....
Visualizing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
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Approx. 17 hours to complete
Data visualization is a critical part of any data science project. Once data have been imported and wrangled into place, visualizing your data can help you get a handle on what’s going on in the data set. In this course we will cover what data visualization is and define some of the basic types of data visualizations....
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