FAQ

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!

Purchase This Course

USD

600

View Fees Breakdown

Course Fee 600
Total Fees
600 (USD)
  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
  • Select Date
    date-img
  • CST(united states) date-img

Select Time


♱ Excluding VAT/GST

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

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Classroom Training fee on request
Koeing Learning Stack

Koenig Learning Stack

Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Scroll to view more course dates

♱ Excluding VAT/GST

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

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Request More Information

Email:  WhatsApp:

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.

Suggested Courses

What other information would you like to see on this page?
USD