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Apply Generative Adversarial Networks (GANs)
by Sharon Zhou , Eda Zhou , Eric Zelikman- 4.8
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Approx. 27 hours to complete
- Explore the applications of GANs and examine them wrt data augmentation, privacy, and anonymity Week 1: GANs for Data Augmentation and Privacy Data Augmentation: Methods and Uses Data Augmentation: Pros & Cons (Optional) Automated Data Augmentation...
Business Analytics and Digital Media
by Sudhir Voleti- 4.4
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Approx. 8 hours to complete
Data Types and Psychometric Scaling Factorizing Data Clustering Data Visualising Data Data sets and slides as reference material for Perceptual mapping...
Digital Marketing Analytics in Theory
by Kevin Hartman- 4.5
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Approx. 20 hours to complete
The goal is to provide the foundation needed to apply data analytics to real-world challenges marketers confront daily. - Understand valid and reliable ways to collect, analyze, and visualize data from the web - Utilize data in decision making for agencies, organizations, or clients The Rise of Modern Data Analytics Digital Data Infrastructure...
Predictive Modeling and Analytics
by Dan Zhang- 3.6
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Approx. 11 hours to complete
Welcome to the second course in the Data Analytics for Business specialization! This course is designed for anyone who is interested in using data to gain insights and make better business decisions. Why Exploratory Data Analysis is Important Data Cleanup and Transformation What is Good Data Visualization? Week 1 Application Assignment 1 (optional): Data Cleanup...
Combining and Analyzing Complex Data
by Richard Valliant, Ph.D.- 4.2
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Approx. 10 hours to complete
The course will also cover the basics of record linkage and statistical matching—both of which are becoming more important as ways of combining data from different sources. Informed consent may have to be obtained from persons to allow their data to be linked. Improving Federal Statistics Using Multiple Data Sources...
Networking and Security in iOS Applications
by Don Patterson , Sam Kaufman- 4.5
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Approx. 14 hours to complete
You'll learn how to store data securely on a device using Core Data. Work with JSON data objects in Objective-C Securely store data on the user’s device. Getting data with NSURLSession Calling and Parsing API JSON data Storing Data Enrichment: The Full Core Data Example 1 The Full Core Data Example...
UX Data Analysis
by Chantal Labbé , Marc Fredette- 0.0
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6 Weeks
Become a UX data scientist! From qualitative data analysis to big data Web analytics, you will be able to leverage insights from data to make empirically-based recommendations. Do big data and UX speak to you? You will be able to leverage insights from this data to make empirically-based recommendations towards frictionless, optimal user experiences....
$299
Data Science for Smart Cities
by Satish Ukkusuri , Eunhan Ka- 0.0
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16 Weeks
Learn various scientific techniques that will allow the analysis, inference and prediction of large-scale data (e. Basics of the data science methods to analyze these datasets will be presented. Classify the different types of data generated by smart cities. Apply the basics of various data mining techniques. Map the data mining tool that is appropriate for various smart city applications....
$2250
Climate Adaptation for Human Health
by Kathryn Conlon- 4.5
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Approx. 19 hours to complete
Informing Adaptation: Collecting Data for Adaptation Collecting Data for Adaptation Health Data Climate Change and Health Data Using Climate Data for Public Health Contextual Data Informing Adaptation: Collecting Data for Adaptation Identify and navigate at least one source for health, environmental, and vulnerability data...
How to Win a Data Science Competition: Learn from Top Kagglers
by Dmitry Ulyanov , Alexander Guschin , Mikhail Trofimov , Dmitry Altukhov , Marios Michailidis- 4.7
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Approx. 54 hours to complete
If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling skills in various domains such as credit, insurance, marketing, natural language processing, sales’ forecasting and computer vision to name a few....
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