Decision Making Using Data Analytics Course Overview

Decision Making Using Data Analytics Course Overview

The Decision Making Using Data Analytics course at Koenig Solutions empowers professionals to harness the power of data for informed decision-making. Participants will learn to analyze data patterns, interpret results, and apply insights to real-world challenges. The course focuses on essential topics such as data visualization, predictive analytics, and statistical analysis, aiming to enhance critical thinking skills. By the end of the program, learners will be equipped to make data-driven decisions, improving efficiency and outcomes in their organizations. This practical approach ensures that students can directly apply what they’ve learned, making the course invaluable for modern business environments. Unlock the potential of data analytics with us!

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575

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Course Fee 575
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575 (USD)
  • Live Training (Duration : 8 Hours)
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  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Target Audience for Decision Making Using Data Analytics

The Decision Making Using Data Analytics course equips professionals with skills to leverage data for informed decision-making, fostering strategic insights across various industries.


  • Data Analysts
  • Business Analysts
  • Marketing Professionals
  • Product Managers
  • Project Managers
  • Financial Analysts
  • Operations Managers
  • Management Consultants
  • Executives and Senior Leadership
  • IT Professionals
  • Data Scientists
  • Entrepreneurs and Start-up Founders
  • Supply Chain Managers
  • Sales Professionals
  • HR Analysts


Learning Objectives - What you will Learn in this Decision Making Using Data Analytics?

  1. The Decision Making Using Data Analytics course empowers students with essential skills to leverage data for informed decision-making, focusing on key analytical techniques and tools that drive effective business strategies.

  2. Learning Objectives and Outcomes:

    • Understand the fundamentals of data analytics and its relevance in decision-making.
    • Identify various data sources and types relevant for analysis.
    • Gain proficiency in data visualization techniques to present insights.
    • Utilize statistical analysis methods to interpret data effectively.
    • Apply data-driven decision-making frameworks in real-world scenarios.
    • Develop skills in using popular data analytics tools and software.
    • Assess the impact of decisions using analytics metrics and KPIs.
    • Foster critical thinking and problem-solving abilities through data analysis.
    • Explore case studies to understand practical applications of data analytics in business.
    • Enhance teamwork and collaborative skills in data-driven project environments.

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