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Big Data - Capstone Project
by Ilkay Altintas , Amarnath Gupta- 4.4
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. You will analyze a data set simulating big data generated from a large number of users who are playing our imaginary game "Catch the Pink Flamingo"....
Data Science for Business Innovation
by Marco Brambilla , Emanuele Della Valle- 4.2
Approx. 7 hours to complete
The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. The course covers terminology and concepts, tools and methods, use cases and success stories of data science applications. Big Data and Data Science...
Fundamentals of Scalable Data Science
by Romeo Kienzler- 4.3
Approx. 20 hours to complete
Apache Spark is the de-facto standard for large scale data processing. This is the first course of a series of courses towards the IBM Advanced Data Science Specialization. • Identify useful techniques for working with big data such as dimension reduction and feature selection methods This course takes four weeks, 4-6h per week Data Visualization of Big Data...
Data Processing with Azure
by Samant Bali , Kenny Mobley- 3.6
Approx. 13 hours to complete
This Azure training course is designed to equip students with the knowledge need to process, store and analyze data for making informed business decisions. Through this Azure course, the student will understand what big data is along with the importance of big data analytics, which will improve the students mathematical and programming skills....
Introduction to Machine Learning in Production
by Andrew NgTop Instructor , Cristian Bartolomé ArámburuTop Instructor- 4.8
Approx. 10 hours to complete
In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application....
The Importance of Listening
by Randy Hlavac- 4.6
Approx. 9 hours to complete
In this second MOOC in the Social Marketing Specialization - "The Importance of Listening" - you will go deep into the Big Data of social and gain a more complete picture of what can be learned from interactions on social sites. Big Data Using Social Data Social Data Flows from a Single Source...
Meaningful Marketing Insights
by David Schweidel- 4.2
Approx. 10 hours to complete
The course provides learners with exposure to essential tools including exploratory data analysis, as well as regression methods that can be used to investigate the impact of marketing activity on aggregate data (e. Big Data in the Big Apple Use Big Data to Create Value for Customers, Not Just Target Them...
Custom and Distributed Training with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.8
Approx. 24 hours to complete
• Harness the power of distributed training to process more data and train larger models, faster, get an overview of various distributed training strategies, and practice working with a strategy that trains on multiple GPU cores, and another that trains on multiple TPU cores. Evaluating variables and changing data types Training steps and data pipeline...
Business Metrics for Data-Driven Companies
by Daniel Egger , Jana Schaich Borg- 4.6
Approx. 8 hours to complete
Finally, you will be able to use a checklist provided in the course to score any company on how effectively it is embracing big data culture. Course Overview Working in the Business Data Analytics Marketplace Roles and Companies as They Relate to Big Data Overview of 5 Types of Companies as They Relate to Big Data...
Demystifying Biomedical Big Data: A User’s Guide
by Bassem R. Haddad , Sheila Cohen Zimmet , Robert Clarke , Yuriy Gusev- 0.0
8 Weeks
This course was designed to facilitate the understanding, analysis, and interpretation of biomedical big data to those in the biomedical field with limited or no significant experience in bioinformatics. The goal of this course is to “demystify” the process of analyzing biomedical big data through a series of lectures and online hands-on training sessions and demos....
$49