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Business Data Analytics

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Business Data Analytics

Businesses today operate in an increasingly data-rich environment, where decisions are driven by insights derived from data analysis. Business Data Analytics is a discipline that focuses on the application of statistical analysis, predictive modeling, and data mining techniques to uncover actionable insights from large datasets. This course provides a comprehensive introduction to the fundamental concepts, methods, and tools used in business data analytics. Through a blend of theoretical lectures and practical exercises, students will learn how to harness the power of data to support decision-making processes, optimize operations, and drive business growth.

Course Objectives

  • Understand the role and importance of data analytics in modern business environments.
  • Learn the key concepts and techniques of business data analytics, including data visualization, descriptive statistics, and predictive modeling.
  • Explore various data analysis tools and platforms, such as Python, R, and SQL, for extracting, transforming, and analyzing data.
  • Gain proficiency in data visualization techniques to communicate insights effectively to stakeholders.
  • Develop skills in exploratory data analysis (EDA) to uncover patterns, trends, and anomalies in data.
  • Learn predictive modeling techniques, including regression analysis, classification, and clustering, to make data-driven predictions and decisions.
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DURATION

PRICE | $4000
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