Search result for Genomic data science specialization 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 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 Science with Python 3.x
by Packt Publishing- 3.9
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13.5 hours on-demand video
Gain useful insights from data by performing popular data science techniques using Python libraries He completed his Master's degree in Computer Science from IIT Delhi, with a specialization in data engineering. He has extensive experience as a Data Scientist in a US-based company. He currently runs a software consultancy that specializes in the data analytics and data science domain....
$9.99
Wrangling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.8
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Approx. 14 hours to complete
Data never arrive in the condition that you need them in order to do effective data analysis. Investing the time to learn these data wrangling techniques will make your analyses more efficient, more reproducible, and more understandable to your data science team. Tidy Data Review Reshaping Data Wide Data Long Data...
Data Analysis and Interpretation Capstone
by Jen Rose , Lisa Dierker- 4.7
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Approx. 8 hours to complete
The Capstone project will allow you to continue to apply and refine the data analytic techniques learned from the previous courses in the Specialization to address an important issue in society. org, is committed to bringing cutting-edge practices in data science and crowdsourcing to some of the world's biggest social challenges and the organizations taking them on....
Importing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.6
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Approx. 15 hours to complete
Getting data into your statistical analysis system can be one of the most challenging parts of any data science project. Data must be imported and harmonized into a coherent format before any insights can be obtained. You will learn how to get data into R from commonly used formats and harmonizing different kinds of datasets from different sources....
Big Data - Capstone Project
by Ilkay Altintas , Amarnath Gupta- 4.4
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Approx. 21 hours to complete
Welcome to the Capstone Project for Big Data! In this culminating project, you will build a big data ecosystem using tools and methods form the earlier courses in this specialization. During the five week Capstone Project, you will walk through the typical big data science steps for acquiring, exploring, preparing, analyzing, and reporting....
AI Workflow: AI in Production
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 17 hours to complete
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. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses....
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Introduction to Data Science in Python
by Christopher Brooks- 4.5
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Approx. 31 hours to complete
The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. Describe common Python functionality and features used for data science...
Introduction to Portfolio Construction and Analysis with Python
by Vijay Vaidyanathan, PhD , Lionel Martellini, PhD- 4.8
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Approx. 24 hours to complete
This course is the first in a four course specialization in Data Science and Machine Learning in Asset Management but can be taken independently....
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 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. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses....
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