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Business analytics training session

About The Course

Business analytics uses data through business intelligence, statistical analysis, machine learning, and predictive modeling to identify and solve business problems. This course provides the required foundation to analytics for business professionals, including those with no prior analytics experience.

It will help you adopt a data-driven culture and an analytic mindset that supports strategic decisions grounded in data.

Business Analytics Fundamentals

  • Overview of business analytics
  • Importance of data-driven decision-making
  • Understanding descriptive, predictive and prescriptive analytics
  • Analytics project life-cycles (CRISP-DM, SEMMA, KDD)

Cultivating Organizational Data-driven Culture

  • Adopting data-driven practices
  • Data management and data pipelines
  • Data sourcing and storage approaches including data lakes, data warehousing, and data marts
  • Data governance
  • Understanding big data

Descriptive Analytics and Business Intelligence

  • Understanding use cases for descriptive analytics
  • Business intelligence tools including MS Excel, MS Power BI, Tableau, and Qlik
  • Business intelligence using MS Excel including pivot tables and visualizations
  • Introduction to Microsoft Power BI including ETL, data shaping, and visualizations

Predictive and Prescriptive Analytics

  • Understanding use cases for predictive and prescriptive analytics
  • Introduction to statistical modeling
  • Machine learning and data mining
  • Machine learning tools including Python and R

Communicating Business Analytics

  • Best practices for data visualizations
  • Presenting quantitative information
  • Graphical excellence

Selected Applications and Use Cases

  • Sales and marketing analytics
  • Financial modeling and forecasting
  • Social media analytics