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Training » Courses » Business Analytics (BANA501)

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 will help you make 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 (data lakes, data warehousing, data marts)
  • Data Governance
  • Understanding Big Data

Descriptive Analytics and Business Intelligence

  • Understanding Use Cases for Descriptive Analytics
  • Business intelligence Tools (MS Excel, MS Power BI, Tableau, Qlik)
  • Business intelligence using MS Excel (Pivot Tables, Visualizations)
  • Introduction to Microsoft Power BI (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 (Python, 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
C-Level managers, finance/accounting professionals, business analysts, business owners, entrepreneurs
Course Details

  • Duration: 5 days
  • Level: Intermediate
  • Language: English
  • Next available: 2023-03-24 15:23:44

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