Description

COURSE OVERVIEW

Strategise with Business Process Re-engineering and Improve Your Organisation’s Productivity

This comprehensive course equips you with the skills and knowledge necessary to transform datasets into actionable business insights. Ideal for professionals at various stages of their analytics journey, this course focuses on practical applications and predictive models tailored for business decisions.

Who Should Take This Course?

Recommended for:

Professionals who have completed Stage 1 of this program.
Individuals with experience in data analysis environments.
Professionals trained or certified in Six Sigma who need to strengthen their analytics skills.
Graduates and postgraduates in statistics or mathematics with no prior analytics experience.
Employees in financial and analytics organizations seeking to enhance their skillset.

Recognition in the Market:

Upon completion, you’ll earn recognition equivalent to:

Certified Data Analyst
Certified Business Analyst
Certified Quality Improvement Associate
Certified Quality Process Analyst
Certified Six Sigma Black Belt
Certified Customer Service Operation and Quality Management Specialist
Certified MIS Manager
Certified Training Analyst

Program Objectives:

By the end of this course, you will:

Gain a solid conceptual understanding of analytic techniques and applied statistics in business.
Master predictive models with an applied orientation for decision support.
Learn to use R for solving business problems with a focus on predictive accuracy.
Build models using Classification Tree Techniques, Random Forest, and Neural Network.
Understand key concepts like Cross-Validation, Overfitting, Bagging, Ensemble Modeling, and Greedy Algorithms

Take the next step in your analytics journey and transform your professional capabilities. Enrol in the Business Process Re-engineering course today and become a leader in data-driven decision-making and process optimisation within your organisation!