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MCSA- SQL Server 2016 Business Intelligence Develo...

Microsoft Certified Solutions Associate (MCSA): SQL 2016 Business Intelligence D..

  • 40000 35000
What you will learn
  • Working with measures and measure groups. Performing predictive analysis with data mining
  • Understand the underlying architecture, components, and properties of a BI solution.
  • Implement dimensions, measures and measure groups in a cube. Create a tabular database. Query a tabular model using DAX
  • Customize a cube. Implement MDX syntax. Perform data mining for predictive analysis
  • Use SSAS analysis services for creating a multidimensional database
Microsoft Business Intelligence (MSBI) Certificati...

Microsoft BI Certification Online Training Course is designed to provide insight..

  • 60000 50000
What you will learn
  • Microsoft Business Intelligence architecture. Data Modeling, Representation, and Transformation for BI.
  • SSIS, SSAS, and SSRS architecture and their components. Sample of data flow across components.
  • Concepts of OLAP database and tables in SSAS. Generating and processing new data sources and new Cubes
  • Defining various relationship types in SSAS. Preparing for MCSE: Business Intelligence Certification Exam
  • Concepts of Multidimensional Modeling, ETL, and Transformations in SSIS
  • Building and creating charts, reports, and dashboards with SSRS
Artificial Intelligence Training

In Artificial Intelligence Online Training, you would have in-depth Deep Learnin..

  • 45000 40000
What you will learn
  • Introduction to Artificial Intelligence and intelligent agents, history of Artificial Intelligence
  • Machine Learning algorithms
  • Applications of AI (Natural Language Processing, Robotics/Vision)
  • Solving real AI problems through programming with Python
  • Understanding how could a trainee provide support to the Data Scientist
  • Earning fame in the workplace with handsome salary
  • Learn how to build AI that is adaptable to any environment in real life
Artificial Intelligence Master's Program

Artificial Intelligence Master's online training will prepare you for Python Pro..

  • 90000 80000
What you will learn
  • Introduction to Artificial Intelligence and intelligent agents, history of Artificial Intelligence
  • Machine Learning algorithms
  • Gain important experiences into signs, pictures, and sounds with SciPy, scikit-picture, and OpenCV
  • Applications of AI (Natural Language Processing, Robotics/Vision)
  • Solving real AI problems through programming with Python
  • Deep Learning techniques and working with TensorFlow
  • Building of Artificial Neural Networks and Statistical Models
  • How Data science and Artificial Intelligence overlap
  • Importance of Python coding for data analytics
  • Efficient design of Machine Learning systems

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What you will learn
  • Working with measures and measure groups. Performing predictive analysis with data mining
  • Understand the underlying architecture, components, and properties of a BI solution.
  • Implement dimensions, measures and measure groups in a cube. Create a tabular database. Query a tabular model using DAX
  • Customize a cube. Implement MDX syntax. Perform data mining for predictive analysis
  • Use SSAS analysis services for creating a multidimensional database
What you will learn
  • Microsoft Business Intelligence architecture. Data Modeling, Representation, and Transformation for BI.
  • SSIS, SSAS, and SSRS architecture and their components. Sample of data flow across components.
  • Concepts of OLAP database and tables in SSAS. Generating and processing new data sources and new Cubes
  • Defining various relationship types in SSAS. Preparing for MCSE: Business Intelligence Certification Exam
  • Concepts of Multidimensional Modeling, ETL, and Transformations in SSIS
  • Building and creating charts, reports, and dashboards with SSRS
What you will learn
  • Introduction to Artificial Intelligence and intelligent agents, history of Artificial Intelligence
  • Machine Learning algorithms
  • Applications of AI (Natural Language Processing, Robotics/Vision)
  • Solving real AI problems through programming with Python
  • Understanding how could a trainee provide support to the Data Scientist
  • Earning fame in the workplace with handsome salary
  • Learn how to build AI that is adaptable to any environment in real life
What you will learn
  • Introduction to Artificial Intelligence and intelligent agents, history of Artificial Intelligence
  • Machine Learning algorithms
  • Gain important experiences into signs, pictures, and sounds with SciPy, scikit-picture, and OpenCV
  • Applications of AI (Natural Language Processing, Robotics/Vision)
  • Solving real AI problems through programming with Python
  • Deep Learning techniques and working with TensorFlow
  • Building of Artificial Neural Networks and Statistical Models
  • How Data science and Artificial Intelligence overlap
  • Importance of Python coding for data analytics
  • Efficient design of Machine Learning systems
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