Search result for Master of information and data science Online Courses & Certifications
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Intro to Data Science
by Dave Holtz , Cheng-Han Lee- 0.0
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Approx. 2 months
You will have an opportunity to work through a data science project end to end, from analyzing a dataset to visualizing and communicating your data analysis. Through working on the class project, you will be exposed to and understand the skills that are needed to become a data scientist yourself. lesson 4 Data Visualization Effective information visualization....
Free
Foundations of Data Science: K-Means Clustering in Python
by Dr Matthew Yee-King , Dr Betty Fyn-Sydney , Dr Jamie A Ward , Dr Larisa Soldatova- 4.6
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Approx. 29 hours to complete
Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government. This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses....
Spatial Data Science and Applications
by Joon Heo- 4.4
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Approx. 12 hours to complete
Based on such business trend, this course is designed to present a firm understanding of spatial data science to the learners, who would have a basic knowledge of data science and data analysis, and eventually to make their expertise differentiated from other nominal data scientists and data analysts. Solution Structures of Spatial Data Science Problems...
Introduction to Genomic Technologies
by Steven Salzberg, PhD , Jeff Leek, PhD- 4.6
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Approx. 6 hours to complete
This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. 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. Memory and Data Structures...
Materials Data Sciences and Informatics
by Dr. Surya Kalidindi- 4.5
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Approx. 9 hours to complete
This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science. Part 1:Multiscale Modeling and Multilevel Design of Materials Materials Knowledge and Materials Data Science Main Components of Data Science Materials Knowledge and Materials Data Science...
Disaster Risk Management and Korean Policies
by Sohn, Hong-Gyoo- 4.6
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Approx. 19 hours to complete
In the past, developing countries such as Korea lacked guidelines for exploring effective policies for disaster-resilient growth, resulting in unnecessary sacrifices in terms of time, resources, and human capital. Utilizing Korea's sound practices and institutional reforms, this course provides a valuable roadmap to prevent and mitigate the catastrophic effects of disasters....
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...
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Healthcare Data Models
by Doug Berman- 4.4
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Approx. 12 hours to complete
You’ll get an overview of common data models and their uses. Data analytics in healthcare serves doctors, clinicians, patients, care providers, and those who carry out the business of improving health outcomes. Data Quality: Driven by Questions We Ask and Levels of Use Verification and Validation of Data for Consistency: Finding Data Errors...
Communicating Data Science Results
by Bill Howe- 3.6
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Approx. 8 hours to complete
You will learn the foundational limitations of using technology to protect privacy and the codes of conduct emerging to guide the behavior of data scientists. You will also learn the importance of reproducibility in data science and how the commercial cloud can help support reproducible research even for experiments involving massive datasets, complex computational infrastructures, or both....
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....
