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Microsoft Certified Solutions Associate (MCSA): SQL 2016 Business Intelligence D..
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
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Microsoft BI Certification Online Training Course is designed to provide insight..
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
In Artificial Intelligence Online Training, you would have in-depth Deep Learnin..
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 online training will prepare you for Python Pro..
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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