Search result for Introduction to Big Data Online Courses & Certifications
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Intelligent Machining
by Rahul Rai- 4.7
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Approx. 11 hours to complete
Manufacturers are increasingly utilizing machine tools that are self-aware – they perceive their own states and the state of the surrounding environment – and are able to make decisions related to machine activity processes. Introduction to Intelligent Machining Introduction to Intelligent Machining Introduction to Intelligent Machining Introduction to Adaptive Control Resources: Introduction to Machining Process Control...
Cybersecurity Capstone: Breach Response Case Studies
by IBM Security Learning Services- 4.8
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Approx. 16 hours to complete
This course gives you the background needed to gain Cybersecurity skills as part of the Cybersecurity Security Analyst Professional Certificate program. ● Research and describe ransomware threats and the consequences to organization. Introduction to Phishing Scams Knowledge Check Introduction to Point of Sale Attacks Knowledge Check Introduction to the Peer-to-Peer Applied Project - Data Breaches...
Web Application Development with JavaScript and MongoDB
by Dr Matthew Yee-King- 4.6
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Approx. 27 hours to complete
You will learn how to control data read and write access using methods, publish and subscribe. You will use the SimpleSchema system to validate data and generate input forms automatically. - use Meteor methods to control data write access - use publish and subscribe to control data read access - define data validations schemas using SimpleSchema...
Practical Predictive Analytics: Models and Methods
by Bill Howe- 4.1
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Approx. 7 hours to complete
Statistical experiment design and analytics are at the heart of data science. You will also explore the common pitfalls in interpreting statistical arguments, especially those associated with big data. Big Data and Spurious Correlations How is Big Data Different? From Rules to Trees Using Information Gain to Build Trees Introduction to Unsupervised Learning...
Getting started in cryo-EM
by Grant J. Jensen- 4.9
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Approx. 21 hours to complete
This class covers the fundamental principles underlying cryo-electron microscopy (cryo-EM) starting with the basic anatomy of electron microscopes, an introduction to Fourier transforms, and the principles of image formation. Introduction to the Course Concept check questions: Introduction to single particle analysis 2-D Crystallography Data Collection and Reconstruction Concept Check Questions: Data Collection and Reconstruction...
A Crash Course in Causality: Inferring Causal Effects from Observational Data
by Jason A. Roy, Ph.D.- 4.7
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Approx. 18 hours to complete
Over a period of 5 weeks, you will learn how causal effects are defined, what assumptions about your data and models are necessary, and how to implement and interpret some popular statistical methods. Learners will have the opportunity to apply these methods to example data in R (free statistical software environment). Welcome and Introduction to Causal Effects...
Introduction to Trading, Machine Learning & GCP
by Jack Farmer , Ram Seshadri- 4
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Approx. 9 hours to complete
You will learn how to identify the profit source and structure of basic quantitative trading strategies. Introduction to Trading with Machine Learning on Google Cloud Course Overview Introduction to Trading with Machine Learning on Google Cloud Introduction to Backtesting Welcome to Introduction to Trading, Machine Learning and GCP Introduction to Neural Networks and Deep Learning...
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Applied AI with DeepLearning
by Romeo Kienzler , Niketan Pansare , Tom Hanlon , Max Pumperla , Ilja Rasin- 4.4
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Approx. 24 hours to complete
This course, Applied Artificial Intelligence with DeepLearning, is part of the IBM Advanced Data Science Certificate which IBM is currently creating and gives you easy access to the invaluable insights into Deep Learning models used by experts in Natural Language Processing, Computer Vision, Time Series Analysis, and many other disciplines. Introduction to deep learning...
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions
by Sharad Borle- 4.7
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Approx. 21 hours to complete
You get to apply these descriptive measures of data and various statistical distributions using easy-to-follow Excel based examples which are demonstrated throughout the course. • Introduction to statistical distributions Introduction to the Box Plot and Standard Deviation Introduction to the Box Plot and the Standard Deviation Working with Distributions (Normal, Binomial, Poisson), Population and Sample Data...
Smart Cities – Management of Smart Urban Infrastructures
by Matthias Finger- 4.7
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Approx. 13 hours to complete
The introduction of Smart urban technologies into legacy infrastructures has resulted in numerous challenges and opportunities for contemporary cities and will continue to do so. Introduction to Smart Urban Infrastructures and Smart Cities Introduction to the Smart Cities MOOC Introduction to week 1 Introduction to the Smart Cities MOOC Reading 1 - Introduction to Smart Urban Infrastructures and Smart Cities...
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