infyni

Business Intelligence 101 + SQL

n Business 101, I plan to cover all the basics concepts of BI, along with the industry use.

Live Course

Duration: 18 Hours

Enrolled: 1

Offered by: infyni

Live Course
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$40

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About Course

The business intelligence tools are intended to allow developers to perform extract, transform and load operations (ETL) on data from data warehouses. Applications include performance metrics, analytics, enterprise reporting and knowledge management.

  • Topics
  • Instructor (1)
  • Define business intelligence
  • discuss the benefits of business intelligence
  • explain how business intelligence differs from competitive intelligence and knowledge management.
    Explain what data is in the context of business intelligence
  • compare and contrast different types of data, such as primary data, quantitative data and structured data.
  • Differentiate between data and big data
  • identify the core components of big data, as well as its applications, advantages and challenges
    Describe different data collection approaches
  • explain the importance of data quality and evaluate related issues
    Explain the meaning of a database
  • discuss basic database management concepts
  • determine how databases can be used to support business decision making.
  • Identify the components of data warehouses
  • evaluate several issues that are associated with data warehousing
    Define the concept of data mining
  • compare a variety of basic data mining techniques
  • assess issues pertaining to data mining in business
    Discuss the applications of data modeling in business intelligence
  • compare and contrast the different types of databases, including subject databases, SQL databases, relational databases and hierarchical databases.
  • Describe various approaches to data analysis, including several statistical methodologies that are used to analyze business intelligence
  • differentiate between qualitative and quantitative analysis
  • assess big data analytics tools/techniques.
    Explain the purpose and methods of predictive analytics in business intelligence
  • compare different predictive analytics forms.
    Compare various forms of web analytics and explain their applications in business intelligence contexts
  • discuss the basics of SEO, PPC and social media marketing metrics.
    Explain different data display approaches and assess their relative strengths and weaknesses
  • describe the ways in which data visualization applies to dashboards, business intelligence and data analysis
  • discuss various data visualization trends.
  • Explain the ethical and legal challenges that businesses can face regarding the collection and management of data
  • assess big data security risks and privacy issues.

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