• Global Aloud
  • Courses
  • Ideas
  • Projects
  • Blogs
  • Employers Booking
  • School Booking
  • Investors interest
  • Our services
  • Contact us
  • Register as a Student
  • 0
  • What we do
    •     GlobalAloud
    • 1.About us
    • 2.Our Services
    • 3.Events
    • 4.Blogs
    • 5.Publication
    • 6.eCV
    • 7.Book on site Demo
    • 8.Have fun with our Courses
    • 9.Our ideas Hub
    • 10.Career path
    • 11.Contact Us
    • 12.Register students and trainers
    • 13.Register Clients and Contractors
      •     Report on Machine Intelligence
      • 1.Vision & Image analytics
      • 2.Audio & Speech analytics
      • 3.Robotics
      • 4.Deep Learning
      • 5.Machine Learning
      • 6.ND Graph Analysis
      • 7.Expert Systems
      • 8.Artificial Neural Systems
      • 9.Natural Language
      • 10.Human Understanding
      • 11.Simulation modelling
      • 12.Sensors & Internet of things
      • 13.Games
  • Courses
    •   Focused Training
    •   Training for Children & Adults for well paid careers in IT
    • Training available 24 hours globally.
    •     Adult training
    •     Programming
    • Python
    • R
    •     Machine Learning with Python & R
    • Machine Learning
    •     Visualisation
    • Power BI
    •     Deep Learning with Python & R
    • Deep Learning
    •     Data Engineering
    • Data Engineering
      •     Adult training
      •     Advanced Maths/Statistics
      • Pure Maths
      • Maths For Data Science
      • Statistics For Data Science
      •     Environment
      • Environmental Science
      •     Communication
        •     Children's training
        •   Age 14 to 16
        •   Age 11 to 13
        •   Age 7 to 10
  • Data
    • Dataset for Machine Learning
    • UCI Machine Learning Repository
    • Kaggle
    • Analytics Vidhya
    • Quandl
    • Past KDD Cups
    • Driven Data
    • Datasets for Images
    • The MNIST Database
    • Chars74K
    • ImageNet
      • Very large Datasets
      • Amazon Web Services (AWS) datasets
      • Google datasets
      • Youtube labeled Video Dataset
      • Text Datasets
      • Spam – Non Spam
      • Twitter Sentiment Analysis
      • Movie Review Data
        • General Datasets
        • data.gov
        • data.gov.in
        • World Bank
        • RBI
        • Five Thirty Eight Datasets
        • Sites with links to various sources
        • KDNuggets
        • Awesome Public Datasets
        • Reddit Datasets Subreddit
          • Datasets of Recommended Engine
          • MovieLens
          • Jester
          •     Data Visualisation
          • Power BI
          • Tableau
          • QlikView
  • Intelligence
    •     Data Science Tools
    •     Data Science
    • Module 1:Machine Learning
    • Module 2:Deep Learning
    • Module 3:Analytics
    • Module 4:Statistics & Multivariable Calculus
    • Module 5:Data Visualization
    • Module 6:Data Munging
    • Module 7:Software Engineering
    • Module 8:Pure Maths for computer science
    • Module 9:Model Evaluation
    • Module 10:Neural network
    • Module 11:Python| R |SQL|Hadoop|Spark
    •     Data Engineering
    • Module 1:CAP theorem
    • Module 2:Lamda Architecture
    • Module 3:Cassandra, Neo4j and other nosql databases
    • Module 4:The Storm distributed real time computation system
    • Module 5:Hadoop, HDFS, MapReduce, and other Hadoop/SQL technologies
    • Module 6:Spark framework
    • Module 7:Continuous deployment and delivery to the cloud.
    • Module 8:Microservices using containers to deliver reliable infrastructure.
    • Module 9:Vision systems
    • Module 10:RDBMS systems
    • Module 11:OLAP cubes and Business Intelligence systems
    • Module 12:Clustering: K-means, mixture models, hierarchical
    • Module 13:Dimensionality reduction and visualisation
    • Module 14:Inference: Bayes, MCMC
    • Module 15:Max-margin methods (SVMs)
    • Module 16:Bayesian networks
      •     Financial Engineering
      • Module 1:Risk Management & Valuation
      • Module 2:Financial Engineering
      • Module 3:Equity|Venture capital
      • Module 4:Stochasic Calculus
      • Module 5:Fintech innovation
      • Module 6:Investment|Portfolio Mng
      • Module 7:Financial Statistics
      • Module 8:Financial Modelling
      • Module 9:Big data Finance
      • Module 10:Trading Strategies
      • Module 11:Regulation|Monetary policy
      • Module 12:Derivatives & Hedging
      • Module 13:Credit Risk
      • Module 14:Fixed income securities
      • Module 15:International Finance
      • Module 16:Algorithmic Trading
      • Module 17:Asset allocation
      • Module 18:Investment strategies
      • Module 19:Risk management|Insurance
      • Module 20:Options Theory in action
      • Module 21:Banks|Markets & securities
      • Module 22:Wealth Management
      • Module 23:Alternative investment
  • Cloud | IDE
    •     Cloud Services
    • Amazon Web Services
    • Kamatera
    • Microsoft Azure
    • Microsoft Dynamics 365
    • Google Cloud Platform
    • Adobe
    • VMware
    • IBM Cloud
    • Rackspace
    • Red Hat
    • Salesforce
    • Oracle Cloud
    • SAP
    • Verizon Cloud
    • Navisite
    • Dropbox
    • Egnyte
      •   IDE
      • R-Studio
      • ATOM
      • ATOM - Community
      • IDLE
      • Thonny - IDE for beginners
      • Visual Studio
      • eric
      • Spyder
      • PyCharm
      • PyCharm plugins
      • Rodeo
      • Jupyter Notebook
      • Eclipse
        •   IDE
        • Codenvy
        • Sublime Text
        • Cloud 9
        • Emacs
        • Netbeans
        • CodeMix
        • Vim IDE
        • Wing IDE
        • PyDev
        • Intellij IDEA
          •   Python Web Framework
          • Django
          • Pyramid
          • TurboGears
          • Web2py (No support for Python3)
          • Flask
          • Bottle
          • CherryPy
          • Sanic
          • Tornado
          • Dash
          • CubicWeb
          • Giotto
          • API star
          •   Future
          • Bacterial genetics and DNA hard drive
          • Quantum computing
  • Login
    •     Login & Action
    • Students
    • GlobalAloud Subscriber
    • Contractors
    • Clients
    • Staff
  • Show case
    •   Show case your talent,  experience,  project
    •     Data Scientist
    •     Data Engineers
      • and references in the categories listed below
      •     Robotic Developers
      •     Financial Engineers
      •     BI Developers
      • Power BI
        •   Employers and Investors are watching
        •     Ethical AI Designers
        •     Environmental Engineers
        •     Global Lecturers
  • Language | idioma
    • Choose the language | Seleccione el idioma | Selecione o idioma| Yan ede naa
0
  • What we do
    •     GlobalAloud
    • 1.About us
    • 2.Our Services
    • 3.Events
    • 4.Blogs
    • 5.Publication
    • 6.eCV
    • 7.Book on site Demo
    • 8.Have fun with our learning
    • 9.Career path
    • 10.Contact Us
    • 11.Register
    •     Report on Machine Intelligence
    • 1.Vision & Image analytics
    • 2.Audio & Speech analytics
    • 3.Robotics
    • 4.Deep Learning
    • 5.Machine Learning
    • 6.ND Graph Analysis
    • 7.Expert Systems
    • 8.Artificial Neural Systems
    • 9.Natural Language
    • 10.Human Understanding
    • 11.Simulation modelling
    • 12.Sensors & Internet of things
    • 13.Games
  • Courses
    •   Focused Training
    •   Training for Children & Adults for well paid careers in IT
    • Training available 24 hours globally.
    •     Adult training
    •     Programming
    • Python
    • R
    •     Machine Learning with Python & R
    • Machine Learning
    •     Visualisation
    • Power BI
    •     Deep Learning with Python & R
    • Deep Learning
    •     Data Engineering
    • Data Engineering
    •     Advanced Maths/Statistics
    • Pure Maths
    • Maths For Data Science
    • Statistics For Data Science
    •     Environment
    • Environmental Science
    •     Communication
    •     Children's training
    •   Age 14 to 16
    •   Age 11 to 13
    •   Age 7 to 10
  • Data
    • Dataset for Machine Learning
    • UCI Machine Learning Repository
    • Kaggle
    • Analytics Vidhya
    • Quandl
    • Past KDD Cups
    • Driven Data
    • Datasets for Images
    • The MNIST Database
    • Chars74K
    • ImageNet
    • Very large Datasets
    • Amazon Web Services (AWS) datasets
    • Google datasets
    • Youtube labeled Video Dataset
    • Text Datasets
    • Spam – Non Spam
    • Twitter Sentiment Analysis
    • Movie Review Data
    • General Datasets
    • data.gov
    • data.gov.in
    • World Bank
    • RBI
    • Five Thirty Eight Datasets
    • Sites with links to various sources
    • KDNuggets
    • Awesome Public Datasets
    • Reddit Datasets Subreddit
    • Datasets of Recommended Engine
    • MovieLens
    • Jester
    •     Data Visualisation
    • Power BI
    • Tableau
    • QlikView
  • Intelligence
    •     Data Science Tools
    •     Data Science
    • Module 1:Machine Learning
    • Module 2:Deep Learning
    • Module 3:Analytics
    • Module 4:Statistics & Multivariable Calculus
    • Module 5:Data Visualization
    • Module 6:Data Munging
    • Module 7:Software Engineering
    • Module 8:Pure Maths for computer science
    • Module 9:Model Evaluation
    • Module 10:Neural network
    • Module 11:Python| R |SQL|Hadoop|Spark
    •     Data Engineering
    • Module 1:CAP theorem
    • Module 2:Lamda Architecture
    • Module 3:Cassandra, Neo4j and other nosql databases
    • Module 4:The Storm distributed real time computation system
    • Module 5:Hadoop, HDFS, MapReduce, and other Hadoop/SQL technologies
    • Module 6:Spark framework
    • Module 7:Continuous deployment and delivery to the cloud.
    • Module 8:Microservices using containers to deliver reliable infrastructure.
    • Module 9:Vision systems
    • Module 10:RDBMS systems
    • Module 11:OLAP cubes and Business Intelligence systems
    • Module 12:Clustering: K-means, mixture models, hierarchical
    • Module 13:Dimensionality reduction and visualisation
    • Module 14:Inference: Bayes, MCMC
    • Module 15:Max-margin methods (SVMs)
    • Module 16:Bayesian networks
    •     Financial Engineering
    • Module 1:Risk Management & Valuation
    • Module 2:Financial Engineering
    • Module 3:Equity|Venture capital
    • Module 4:Stochasic Calculus
    • Module 5:Fintech innovation
    • Module 6:Investment|Portfolio Mng
    • Module 7:Financial Statistics
    • Module 8:Financial Modelling
    • Module 9:Big data Finance
    • Module 10:Trading Strategies
    • Module 11:Regulation|Monetary policy
    • Module 12:Derivatives & Hedging
    • Module 13:Credit Risk
    • Module 14:Fixed income securities
    • Module 15:International Finance
    • Module 16:Algorithmic Trading
    • Module 17:Asset allocation
    • Module 18:Investment strategies
    • Module 19:Risk management|Insurance
    • Module 20:Options Theory in action
    • Module 21:Banks|Markets & securities
    • Module 22:Wealth Management
    • Module 23:Alternative investment
  • Cloud | IDE
    •     Cloud Services
    • Amazon Web Services
    • Kamatera
    • Microsoft Azure
    • Microsoft Dynamics 365
    • Google Cloud Platform
    • Adobe
    • VMware
    • IBM Cloud
    • Rackspace
    • Red Hat
    • Salesforce
    • Oracle Cloud
    • SAP
    • Verizon Cloud
    • Navisite
    • Dropbox
    • Egnyte
    •   IDE
    • R-Studio
    • ATOM
    • ATOM - Community
    • IDLE
    • Thonny - IDE for beginners
    • Visual Studio
    • eric
    • Spyder
    • PyCharm
    • PyCharm plugins
    • Rodeo
    • Jupyter Notebook
    • Eclipse
    • Codenvy
    • Sublime Text
    • Cloud 9
    • Emacs
    • Netbeans
    • CodeMix
    • Vim IDE
    • Wing IDE
    • PyDev
    • Intellij IDEA
    •   Python Web Framework
    • Django
    • Pyramid
    • TurboGears
    • Web2py (No support for Python3)
    • Flask
    • Bottle
    • CherryPy
    • Sanic
    • Tornado
    • Dash
    • CubicWeb
    • Giotto
    • API star
    •   Future
    • Bacterial genetics and DNA hard drive
    • Quantum computing
  • Login
    •     Login & Action
    • Students
    • GlobalAloud Subscriber
    • Contractors
    • Clients
    • Staff
  • Show case
    •   Show case your talent, experience or work
    •     Data Scientist
    •     Data Engineers
    •     Robotic Developers
    •     Financial Engineers
    •     BI Developers
    • Power BI
    •     Ethical AI Designers
    •     Environmental Engineers
    •     Global Lecturers
  • Language | idioma
    • Choose the language | Seleccione el idioma | Selecione o idioma| Yan ede naa
  • >> Back <<
  • New Student
  • Take your first step by creating your login details - only two steps
  • Username  
  • Password  
  • Confirm Password    
  • Email
  •   Created Date  
  • THE GIVEN ID IS UNAVAILABLE

Don't be left out in the cold

Python or R

Previous Next
Take your first step by creating your login details - only two steps

© Copy right and data protection

© 2024 - Edward Dewale | GlobalAloud


   TERMS & CONDITIONS
   SECURITY POLICY
   HELP
   FREQUENTLY ASKED QUESTIONS
   COOKIES & PRIVACY POLICY
   PRIVACY & LEGAL
   INSURANCE
   SLA
   SITE MAP
   MEDIA & PRESS
   CAREERS @ GlobalAloud