Kington Institute

About Course

In today’s data-driven world, understanding the power of statistics, data science, and business analysis is critical for making informed decisions, driving innovation, and gaining a competitive edge. This course provides a solid foundation in these essential disciplines, enabling you to harness the power of data to solve complex problems and uncover valuable insights.

You’ll learn how to apply statistical methods to analyze data, master data science techniques to build predictive models, and use business analysis to translate data-driven insights into actionable business strategies. Whether you’re looking to improve decision-making, streamline operations, or drive growth, this course will equip you with the skills needed to thrive in the modern business landscape. Perfect for beginners and professionals alike, this course will guide you through the essential tools and techniques used in today’s most successful data-driven organizations.

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What Will You Learn?

  • Gain expertise in business data analysis by applying techniques like regression analysis, hypothesis testing, and machine learning.
  • Learn how to clean, explore, and visualize business data using tools like Python, Tableau, or Power BI.
  • Understand how to use statistical models and predictive analytics to forecast business outcomes such as sales, customer churn, and demand.
  • Develop the ability to create business reports and interactive dashboards that communicate data-driven insights and recommendations effectively.
  • Master end-to-end business analysis, from data preprocessing to generating actionable recommendations that drive business strategy.

Course Content

Module 1: Introduction to Statistics and Data Science

  • Introduction to Statistics
    01:15:00
  • Introduction to Data Science
    01:10:00
  • Data Collection and Cleaning
  • Probability and Distributions
  • Case Study and Hands-on Exercise

Module 2: Business Analysis with Data Science and Advanced Statistics

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