Search result for Coursera genomic data science specialization Online Courses & Certifications
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Statistics for Genomic Data Science
by Jeff Leek, PhD- 4.2
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Approx. 9 hours to complete
An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University. Welcome to Statistics for Genomic Data Science Data Transforms (7:31) Combining Data Types (eQTL) (6:04) Statistics for Genomic Data Science Wrap-Up (1:53)...
Command Line Tools for Genomic Data Science
by Liliana Florea, PhD- 4.1
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Approx. 12 hours to complete
Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University. Sequences and Genomic Features 1: Molecular Bio Primer Sequences and Genomic Features 2: Sequence Representation and Generation...
Genomic Data Science with Galaxy
by James Taylor, PhD- 3.6
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Approx. 7 hours to complete
This is the second course in the Genomic Big Data Science Specialization. Galaxy 101: Genomic Intervals Working with sequence data Sequence Data Quality Control...
Python for Genomic Data Science
by Mihaela Pertea, PhD , Steven Salzberg, PhD- 4.3
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Approx. 9 hours to complete
This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University. 1: Data Structures Part 1 (11:58) 2: Data Structures Part 2 (10:41)...
Introduction to Genomic Technologies
by Steven Salzberg, PhD , Jeff Leek, PhD- 4.6
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Approx. 6 hours to complete
You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed. This is the first course in the Genomic Data Science Specialization. What Is Genomic Data Science? Data Science Technology Quiz 4: Data Science Technology...
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. NOTE: This is the third and final course in the Data Science with Databricks for Data Analysts Coursera specialization. These courses are: Apache Spark for Data Analysts and Data Science Fundamentals for Data Analysts. Data Science Process vs....
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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Fundamentals of Scalable Data Science
by Romeo Kienzler- 4.3
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Approx. 20 hours to complete
This is the first course of a series of courses towards the IBM Advanced Data Science Specialization. We strongly believe that is is crucial for success to start learning a scalable data science platform since memory and CPU constraints are to most limiting factors when it comes to building advanced machine learning models....
Advanced Machine Learning and Signal Processing
by Romeo Kienzler , Nikolay Manchev- 4.5
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Approx. 27 hours to complete
This course, Advanced Machine Learning and Signal Processing, is part of the IBM Advanced Data Science Specialization which IBM is currently creating and gives you easy access to the invaluable insights into Supervised and Unsupervised Machine Learning Models used by experts in many field relevant disciplines. The importance of validation data to prevent overfitting...
Plant Bioinformatics Capstone
by Nicholas James Provart- 4.8
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Approx. 9 hours to complete
These data sets in turn allow us to generate hypotheses at the click of a mouse or tap of a finger. This course/capstone was developed with funding from the University of Toronto's Faculty of Arts and Science Open Course Initiative Fund (OCIF) and was implemented by Eddi Esteban, Will Heikoop and Nicholas Provart....
