Course Code: PERDEV 138
3753 Course Visits
Analytical and Quantitative Abilities Masterclass
Course Sector:
Interpersonal Skills and Self Development
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Introduction
Training course introducion / brief

This training course is designed to enhance the participants’ analytical and quantitative skills, enabling them to tackle complex problems and make data-driven decisions with confidence. Throughout this course, they will explore essential concepts, learn practical techniques, and engage in hands-on exercises to develop analytical and quantitative abilities to their fullest potential. By the end of this masterclass, they will possess a robust toolkit to excel in analytical roles and thrive in data-rich environments.

Course Objectives
At the end of the training course, participants will be able to

  • Understand and apply key principles of analytical thinking, enabling them to approach problems systematically, identify patterns, and make logical deductions.
  • Gain proficiency in analyzing and interpreting numerical data, applying mathematical and statistical methods to solve problems, and leveraging quantitative information to make informed decisions.
  • Enhance  critical thinking skills to evaluate information objectively, recognize biases and fallacies, and critically assess the validity and reliability of arguments.
  • Learn effective problem-solving strategies, including problem decomposition, root cause analysis, and creative problem-solving techniques, to address complex challenges efficiently and effectively.
  • Learn how to analytical tools and techniques to gather, clean, analyze, and visualize data, enabling them to extract meaningful insights and support data-driven decision-making.

Course Audience
Who is this course for, and can benefit the most

- Executive Secretaries

- Executive Personal Secretaries

- Personal Secretaries

- Executive Assistants

- Personal Assistants

- Office Managers

- Administration Managers

- Management Secretaries

- Senior Assistants

Course Outline
The course aims and learning outcomes

Foundations of Analytical Thinking and Quantitative Reasoning

  • Introduction to analytical thinking
  • Key components of quantitative reasoning
  • Data types and data representation
  • Basic statistical concepts for data analysis
  • Problem-solving through data-driven approaches

Critical Thinking and Logical Analysis

  • Understanding critical thinking and its applications
  • Identifying and overcoming cognitive biases
  • Logic and argument evaluation
  • Analyzing and interpreting complex information
  • Ethical considerations in critical thinking

Advanced Problem-Solving Techniques and Data Analysis

  • Advanced problem-solving strategies and frameworks
  • Root cause analysis and the 5 Whys
  • Creative problem-solving techniques
  • Introduction to data analysis tools and techniques
  • Data visualization for effective communication

Providers and Associations
Providing the best training services and benefits to our valued clients
Boost certificate of completion
BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.
ENDORSED EDUCATION PROVIDER
Over all rating
Excellent
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Flexible deadlines
Customized dates accordance to your schedule
Shareable Certificate
Earn certificate upon completion
COURSE METHODOLOGY

Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).

At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.

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