By the end of the Business Intelligence students will have usable knowledge of the following:

• Understand SQL basics
• Report and analyze data
• Learn SQL database syntax.
• Manage reports and implement Security.
• All in all understand and create a Cube.
• Create data sources and data source views.
• Understand data mining.
• Understand Power BI or Tableau.
• Learn SQL Server Analysis Services.
• Overall create procedures and use reporting
• Introduction to MDX: Multidimensional Expressions (MDX) is the query language that you use to work with and retrieve multidimensional data in SQL Server Analysis Services.

Course Objectives.

By the end of the Data Analytics Course, students will have usable knowledge of the following:

• Overall Prepare the data.
• Be able to explain data analytics services. Thus to fit in the data life cycle of collection, storage, processing, and visualization.
• Model the data.
• Furthermore Analyzing Data with Microsoft Power BI.
• Deploy and maintain deliverables.

By the end of the Data Science course, students will have usable knowledge of the following:

• Overall apply statistical methods to data.
• Use tableau or Microsoft Power BI for data visualization.
• Be able to understand Python to explore and transform data.
• Understand and create,validate machine learning models with Azure Machine Learning.
• Thoroughly Understand Python code to build machine learning models.
• Apply data science techniques to common scenarios.
• Implement a machine learning solution for a given data problem.
• Overall learn advanced Python and Data Analysis to implement computer science algorithms.
• Implement a BioInformatics and natural language processing.
• Acquire the skills needed to find structure in data and how to use the python libraries.
• Matplotlib.
• SciKit Learn.
• NumPy.
• NLTK,