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Machine Learning Fundamentals eLearning

Machine Learning
£99.99
On successful Completion of the Machine Learning Fundamentals course you will be able to:

  • Describe key concepts of machine learning
  • Understand Open Source Machine learning tools including R, KNIME and Python
  • Understand Open Source Machine learning Platforms
  • Understand Commercial Machine learning tools including IBM SPSS, Oracle Analytics, Microsoft Azure ML
  • Visualize and explore data
  • Create supervised and unsupervised machine learning models
  • Develop Machine learning solutions using R and Python
  • Develop R Machine learning solutions using Microsoft Azure ML
  • Develop Machine learning solutions using Microsoft Azure ML Studio
  • Prepare data for predictive modelling

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: FDM-ML-CBT
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-50%

Foundations of Data Science with R eLearning

Data Science eLearning
£79.99
On successful Completion of the course you will be able to accomplish the following:

  • Describe key concepts of Data Science
  • Understand Open Source Data Science tools including R and Python
  • Understand Open Source Data Science Tools and Platforms
  • Understand Commercial Data Science tools including Microsoft Azure Machine Learning
  • Prepare data for predictive modelling
  • Visualize and explore data
  • Develop Data Science solutions using R
  • Develop R based Data Science solutions using Microsoft Azure ML
  • Develop Data Science solutions using Microsoft Azure ML Studio
  • Create supervised and unsupervised machine learning models

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: FND-DSCR-ELN
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Foundations of Data Science with Python eLearning

Data Science
£79.99
On successful Completion of the course you will be able to accomplish the following:

  • Describe key concepts of Data Science
  • Understand Open Source Data Science tools including R and Python
  • Understand Open Source Data Science Tools and Platforms
  • Understand Commercial Data Science tools including Microsoft Azure Machine Learning
  • Prepare data for predictive modelling
  • Visualize and explore data
  • Develop Data Science solutions using Python
  • Develop Python based Data Science solutions using Microsoft Azure ML
  • Develop Data Science solutions using Microsoft Azure ML Studio
  • Create supervised and unsupervised Data Science models

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: FDN-DSPYTH-ELN
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Foundations of Data Science with Microsoft Azure ML eLearning

Data Science
£89.99
On successful Completion of the Foundations of Data Science with Microsoft Azure ML Self-Study eLearning course you will be able to:

  • Describe key concepts of Data Science
  • Understand Open Source Data Science tools including R and Python
  • Understand Open Source Data Science Tools and Platforms
  • Understand Commercial Data Science tools including Microsoft Azure Machine Learning
  • Prepare data for predictive modelling
  • Visualize and explore data
  • Develop Data Science solutions using Python
  • Develop R based Data Science solutions using Microsoft Azure ML
  • Develop Machine learning solutions using Microsoft Azure ML Studio
  • Create supervised and unsupervised Data Science models

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: FDN-DSMSAZ-CBT
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Foundations of Machine Learning with Azure ML

Machine Learning
£89.99
On successful Completion of the Foundations of Machine Learning with Azure ML course you will be able to:

  • Describe key concepts of machine learning
  • Understand Open Source Machine learning tools including Python
  • Understand Open Source Machine learning Tools and Platforms
  • Understand Commercial Machine learning tools including Microsoft Azure Machine Learning
  • Prepare data for predictive modelling
  • Visualize and explore data
  • Develop Machine learning solutions using Python
  • Develop R and Python Machine learning solutions using Microsoft Azure ML
  • Develop Machine learning solutions using Microsoft AzureML Studio
  • Create supervised and unsupervised machine learning models

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: FDN-MLMSAZ-CBT
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Foundations of Machine Learning with Python

Machine Learning
£89.99
On successful Completion of the Foundations of Machine Learning with Python course you will be able to:

  • Describe key concepts of machine learning
  • Understand Open Source Machine learning tools including Python
  • Understand Open Source Machine learning Tools and Platforms
  • Understand Commercial Machine learning tools including Microsoft Azure Machine Learning
  • Prepare data for predictive modelling
  • Visualize and explore data
  • Develop Machine learning solutions using Python
  • Develop Python Machine learning solutions using Microsoft Azure ML
  • Develop Machine learning solutions using Microsoft Azure ML Studio
  • Create supervised and unsupervised machine learning models

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: FDN-MLPYTH-CBT
Buy now!

Foundations of Machine Learning with R

Machine Learning
£79.99
On successful Completion of the Foundations of Machine Learning with R course you will be able to:

  • Describe key concepts of machine learning
  • Understand Open Source Machine learning tools including R
  • Understand Open Source Machine learning Tools and Platforms
  • Understand Commercial Machine learning tools including Microsoft Azure Machine Learning
  • Develop Machine learning solutions using R
  • Develop R Machine learning solutions using Microsoft Azure ML
  • Develop Machine learning solutions using Microsoft Azure ML Studio
  • Prepare data for predictive modelling
  • Visualize and explore data
  • Create supervised and unsupervised machine learning models

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: FDN-MLPYTH-CBT
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Introduction to Big Data Tools and Technologies eLearning

Earn 50K with Analytics Skills
£69.99
On successful Completion of the course you will get a sound understanding of:

  • Gain a high-level understanding of big data and Hadoop
  • Understand Hadoop Components: MapReduce and HDFS
  • Understand Hadoop Components: YARN and Apache Tez
  • Understand HCatalog
  • Understand development with Hive
  • Understand development with Pig
  • Understand development with HBase
  • Gain a high-level understanding of Apache Spark
  • Understand Resilient Distributed Datasets (RDDs) in Apache Spark
  • Understand Spark ML
  • launch data analytics applications for companies
  • You will be instrumental in getting data from a variety of different sources
  • Learn how these data will be parsed in the right formats, assuring that they adhere to data
  • Understand data quality standards
  • Learn to perform downstream tasks such as reporting or exploratory analytics
  • Understand NoSQL Databases

This course will assist in preparation for the Oracle, IBM and Microsoft Big Data Certification Examinations.

Product code: WLN-IDM-PBF<
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Big Data Fundamentals eLearning

Earn 50K with Analytics Skills
£69.99
On successful Completion of the course you will get a sound understanding of:

  • Understanding Big Data
  • Business Motivations and Drivers for Big Data Adoption
  • Big Data Adoption and Planning Considerations
  • Enterprise Technologies and Big Data Business Intelligence
  • Storing and Analyzing Big Data
  • Big Data Storage Concepts
  • Big Data Processing Concepts
  • Big Data Storage Technology
  • Big Data Analysis Techniques

This course covers the essentials of Big Data, primarily from a business perspective. Businesses need to understand that Big Data is not just about technology—it is also about how these technologies can propel an organization forward. This second set of topics shifts from providing a high-level understanding of Big Data and its business implications to covering key concepts related to the two main Big Data concerns: storage and analysis.

Product code: WLN-IDM-PBF<
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Fundamentals of Data Science and Machine Learning eLearning

Data Science & Machine Learning
£99.99
On successful Completion of the Fundamentals of Data Science and Machine Learning with Azure ML course you will be able to:

  • Describe key concepts of data science and machine learning
  • Understand Open Source Machine learning tools including KNIME, R and Python
  • Understand Open Source Machine learning Platforms
  • Understand Commercial Machine learning tools including Oracle Advanced Analytics and Microsoft Azure Machine Learning
  • Develop Machine learning solutions using R and Python
  • Develop R Machine learning solutions using Microsoft Azure ML
  • Develop Machine learning solutions using Microsoft Azure ML Studio
  • Prepare data for predictive modelling
  • Visualize and explore data
  • Create supervised and unsupervised machine learning models

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: FDM-DSML-CBT
Buy now!
-50%

Business Intelligence and Data Warehousing Fundamentals eLearning

BI Foundation Suite
£89.99
On successful Completion of the Business Intelligence and Data Warehousing Fundamentals Self-Study eLearning course you will be able to:

  • Define the terminology and explain basic concepts of data warehousing
  • Identify the technology and some of the tools from Oracle and Microsoft to implement a successful data warehouse
  • Describe methods and tools for extracting, transforming and loading data
  • Identify some of the tools for accessing and analysing warehouse data
  • Describe the benefits of partitioning, parallel operations, materialized views and query rewrite in a data warehouse
  • Explain the implementation and organizational issues surrounding a data warehouse project
  • Improve performance or manageability in a data warehouse using various Oracle Database features
  • Understand Business, Logical, Dimensional, and Physical Modeling
  • Understand Oracle, SAP and Microsoft ETL Development Tools
  • Understand the Oracle, SAP, Microsoft and IBM Cognos Business Intelligence and Analytics Technology Stack
  • Understand the The BI and OLAP Development Life-Cycle
  • Understand the BI and Warehouse Architecture Framework
  • Understand Business Dimension Modelling
  • Build Data Analysis, Visualisation and Interactive Dashboards in Oracle BIEE
  • Build Data Analysis and Visualisation in Cognos Reports Studio

Certification: This course will assist in preparation for the IBM, Microsoft and Oracle BI Certified Implementation Specialist 1Z0-591 Certification exams.

Product code: WLN-OBIEE-FDN
Buy now!
-50%

Oracle Data Warehousing Fundamentals eLearning

Data Warehousing
£79.99
On successful Completion of the Oracle 11g Data Warehousing Fundamentals Self-Study eLearning course you will be able to:

  • Define the terminology and explain the basic concepts of data warehousing
  • Understand the Oracle Data Warehouse Technology Stack
  • Understand the Oracle Data Warehouse Reference Architecture
  • Understand the Oracle Business Intelligence and Analytics Technology Stack
  • Describe methods and tools for extracting, transforming, and loading data
  • Use Oracle Data Integrator 11g ETL for extracting, transforming, and loading data
  • Identify some of the tools for accessing and analysing warehouse data
  • Identify the technology and some of the tools from Oracle to implement a successful data warehouse
  • Define the decision support purpose and end goal of a data warehouse
  • Describe the benefits of partitioning, parallel operations, materialized views, and query rewrite in a data warehouse
  • Understand the implementation and organisational issues surrounding a data warehouse project
  • Use materialised views and query rewrite to improve the data warehouse performance
  • Develop familiarity with some of the technologies required to implement a data warehouse

Certification: This course will assist in preparation for the Oracle BI Certified Implementation Specialist 1Z0-591 Certification exam.

Product code: WLN-ORA-DWFNDM
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Informatica 9.6.x ETL Fundamentals

Self-Study eLearning
£59.99
On successful Completion of the Informatica Data Integration & ETL Fundamentals course you will be able to:

  • Understand the ETL Development Lifecycle
  • Understand basic Data warehousing Concepts
  • Understand basic Dimension Modelling
  • Understand Data Quality Issues in ETL Process
  • Understand the architecture of the complete Informatica system
  • Design and build simple mappings and workflows
  • Use PowerCenter 9.x Designer to build mappings that extract data from a source to a target
  • Use PowerCenter 9.x Designer to build transformations
  • Use PowerCenter transformations to cleanse, format and join data
  • Use PowerCenter transformations to aggregate and route data to targets
  • Perform error handling/trapping using PowerCenter mappings
  • Describe the use of Mapping Variables and Parameter Files
  • Use PowerCenter 9.x Workflow Manager to build and run a workflow
  • Use PowerCenter 9.x Workflow Manager to execute sessions associated with a mapping
  • Perform basic troubleshooting using PowerCenter logs and debugger
  • Describe the SQL Transformation

Informatica Data Integration & ETL Fundamentals Self-Study eLearning:

Product code: WLN-INF-ETLFNDM
Buy now!
-40%

Informatica 9.6.x Data Warehousing Fundamentals

Self-Study eLearning
£69.99
On successful Completion of the Informatica 9.6.x Data Warehousing Fundamentals Self-Study eLearning course you will be able to:

  • Understand the Informatica Data Warehouse and ETL Development Lifecycle
  • Understand the BI and Warehouse Development Process
  • Learn to Manage Informatica Warehouse Projects
  • Understand Data warehousing Concepts
  • Understand Dimension Modelling
  • Understand Data Quality Issues in ETL Process
  • Understand the architecture of the Informatica system
  • Manage your Informatica environment using the Informatica Console
  • Use PowerCenter 9.x Designer to build mappings
  • Use PowerCenter 9.x Designer to extract data from a source to a target
  • Use PowerCenter 9.x Designer to build transformations
  • Use PowerCenter transformations to cleanse, format and join data
  • Use PowerCenter transformations to aggregate and route data to targets
  • Perform error handling/trapping using PowerCenter mappings
  • Describe the use of Mapping Variables and Parameter Files
  • Use PowerCenter 9.x Workflow Manager to build and run a workflow
  • Use PowerCenter 9.x Workflow Manager to execute sessions associated with a mapping

Informatica Data Integration & ETL Fundamentals Self-Study eLearning:

Product code: WLN-INF-DWFNDM
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Oracle Data Integrator 11g/12c ELT Development eLearning

Data Integration
£59.99
On successful Completion of the Oracle Data Integrator 11g/12c ELT Development course you will be able to:

  • Understand the ETL Development Lifecycle
  • Understand basic Data warehousing Concepts
  • Understand basic Dimension Modelling
  • Understand Data Quality Issues in ETL Process
  • Understand the architecture of the Oracle Data Integrator system
  • Define Data Sources
  • Define Physical and Logical Architecture
  • Create and reverse-engineer models
  • Manage Projects
  • Define Integration Processes
  • Work with projects in Oracle Data Integrator
  • Release your ODI work for deployment
  • Understand models, reverse-engineering model metadata from your database
  • Manage metadata in Oracle Data Integrator: models and data quality
  • Create simple interfaces and add multiple sources to an interface
  • Launch a session to run an interface
  • Enforce data quality constraints in an interface
  • Manage packages

Certification: This course will assist in the preparation for the Oracle Data Integrator 11g/12c Certified Implementation Essentials - 1Z0-482 exam.

Product code: WLN-ORA-ODIFNDM
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Oracle Data Integrator 12c: New Features eLearning

Data Integration
£79.99
On successful Completion of the Oracle Data Integrator 12c: New Features course you will be able to:

  • Understand the ETL Development Lifecycle
  • Understand basic Data warehousing Concepts
  • Understand basic Dimension Modelling
  • Understand Data Quality Issues in ETL Process
  • Understand the architecture of the Oracle Data Integrator system
  • Define Data Sources
  • Define Physical and Logical Architecture
  • Create and reverse-engineer models
  • Manage Projects
  • Define Integration Processes
  • Work with projects in Oracle Data Integrator
  • Release your ODI work for deployment
  • Understand models, reverse-engineering model metadata from your database
  • Manage metadata in Oracle Data Integrator: models and data quality
  • Create simple interfaces and add multiple sources to an interface
  • Launch a session to run an interface
  • Enforce data quality constraints in an interface
  • Manage packages

Certification: This course will assist in the preparation for the Oracle Data Integrator 12c Certified Implementation Essentials - 1Z0-482 exam.

Product code: WLN-ORA-ODIFNDM
Buy now!
-50%

Oracle Analytics and Data warehousing eLearning

BI and Analytics
£89.99
On successful Completion of the Oracle Analytics and Data warehousing Self-Study eLearning course you will be able to:

  • Define the terminology and explain basic concepts of data warehousing.
  • Identify the technology and some of the tools from Oracle to implement a successful data warehouse
  • Describe methods and tools for extracting, transforming and loading data
  • Identify some of the tools for accessing and analysing warehouse data
  • Describe the benefits of partitioning, parallel operations, materialized views and query rewrite in a data warehouse
  • Explain the implementation and organizational issues surrounding a data warehouse project
  • Improve performance or manageability in a data warehouse using various Oracle Database features
  • Understand the Oracle Business and Analytics Technology Stack
  • Understand the Oracle Analytics Reference Architecture
  • Build queries in Oracle BI Answers
  • Customize the Oracle BI user interface
  • Create and modify Oracle BI Interactive Dashboards
  • Work with views to display request information
  • Create and modify Interactive Dashboards
  • Create guided navigation links within Interactive Dashboards
  • Use Oracle BI Delivers to configure, schedule, and deliver personalized alerts
  • Build Oracle BI Publisher reports based on Answers requests and BI metadata
  • Understand and Manage Presentation Layer Security
  • Understand Repositories and the Presentation Layer Meta Data
  • Understand BI Publisher – BI Presentation Services Integration
  • Employ recommended design principles and best practices

Certification: This course will assist in preparation for the Oracle BI Certified Implementation Specialist 1Z0-591 Certification exam..

Product code: WLN-OBIEE-FDN
Buy now!

Data Science and Big Data Analytics eLearning

Earn 50K with Analytics Skills
£89.99
On successful Completion of the course you will get a sound understanding of:

  • Define big data and the business drivers for advanced, big data analytics
  • Describe why and how Data Science is different to traditional Business Intelligence
  • Describe the roles and skills required in a big data analytics team
  • Explain the phases and activities of the data analytics lifecycle and identify the main activities and deliverables
  • Explore and make an initial analysis of the data, using R
  • Select and execute appropriate advanced analytic methods for candidate selection, categorization, and predictive modeling
  • Describe the challenges and tools for analyzing text and other unstructured data
  • Describe the importance and benefits of advanced techniques such as in-database analytics and how extensions and other advanced functions add value

The Data Science and Big Data Analytics course educates students to a foundation level on big data and the state of the practice of analytics. The course provides an introduction to big data and a Data Analytics Lifecycle to address business challenges that leverage big data.

Product code: WLN-IDM-PBF<
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Predictive Analytics with Azure ML CBT

Data Science & Machine Learning
£89.99
On successful Completion of the Predictive Analytics with Azure ML course you will be able to:

The Predictive Analytics with Microsoft Azure Machine Learning course provides step-by-step instructions on how to use a combination of data science and Machine Learning techniques to address your business challenges. You will perform basic to advanced Data Science and Machine Learning tasks using a combination of the R open source tool and Microsoft Azure Machine Learning - ML Studio for activities based on real-life work scenarios.
  • Describe key concepts of data science and machine learning
  • Understand Open Source Data Science tools and Platforms including Spark, R and Python
  • Understand Open Source Machine learning Tools and Platforms
  • Understand Commercial Data Science tools including Microsoft Azure ML Studio,IBM SPSS and Oracle Advanced Analytics
  • Learn to Install and Configure R and Python
  • Learn to Configure Microsoft Azure ML for R and Python Development
  • Prepare data for predictive modelling
  • Visualize and explore data
  • Create supervised and unsupervised machine learning models
  • Develop Data Science solutions using R on Azure ML Platform
  • Develop Machine Learning solutions using Microsoft Azure Notebooks
  • Develop Data Science solutions using Microsoft Azure ML Studio

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: PR-AZU-ML-CBT
Buy now!

ENROL NOW AND SAVE

-50%

Data Science Unlimited Cloud Learning Subscription

£312.00
You will gain proficiency with data science tools and technologies including machine learning, R Programming, Python, Azure ML, SQL, database modelling, dimension modelling, ETL development and loading data into data warehouses, data lakes, Big data using a range of data integration tools such as Oracle DI, Informatica, Apache Hadoop, Kafka.
On successful Completion of the course you will You will gain proficiency with the following:

  • Understand basic Data warehousing Concepts
  • Understand basic Dimension Modelling
  • Understand Data Quality Issues in ETL Process
  • Understand the ETL Development Lifecycle
  • Understand BI and Warehouse Architecture Frameworks
  • Design and build simple mappings and workflows
  • Learn to Plan and Scope your Data Warehouse Projects
  • Understand the architecture of the Microsoft SSIS system
  • Understand the architecture of the complete Oracle Data Integrator system
  • Describe the Oracle Data Integrator (ODI) system logical architecture
  • Understand the architecture of the complete Informatica system
  • Configure ODI Java EE Agent Components
  • Stop and start Oracle DI components
  • Create Data Servers and Sources
  • Define Physical and Logical Architecture
  • Create and reverse-engineer models
  • Manage Projects and Define Integration Processes
  • Work with projects in Oracle Data Integrator
  • Release your ODI work for deployment
  • Understand models, reverse-engineering model metadata from your database
  • Manage metadata in Oracle Data Integrator: models and data quality
  • Create simple interfaces and add multiple sources to an interface
  • Launch a session to run an interface
  • Enforce data quality constraints in an interface
  • Gain a high-level understanding of big data and Hadoop
  • Understand Hadoop Components: MapReduce and HDFS
  • Understand Hadoop Components: YARN and Apache Tez
  • Understand HCatalog
  • Understand development with Hive
  • Understand development with Pig
  • Understand development with HBase

Data Science Unlimited Subscription: Certified Implementation Specialist.

Certification: This course will assist in the preparation for the IBM, Microsoft and Oracle Advanced Analytics Certification exams.

Product code: 367DDF5p
Buy now!

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