Certified Data Scientist - Operations Certification (CDSOPS – DS2120)

  • Elevate your data science expertise: Obtain the IABAC Certified Data Scientist - Operations certification and excel in operational challenges.
  • Master data-driven operations: Acquire in-depth knowledge to optimize processes and make data-driven decisions.
  • Boost career prospects in operations analytics: IABAC Certified Data Scientist - Operations opens doors to lucrative opportunities.
image

Download Syllabus

 150/-
(Including all taxes)
Book Exam
Enquiry Now
Eligibility Test

With this certification, you will compose a profound symphony of leveraging data science's harmonious power to streamline workflows, harmonize efficiency, and elevate overall operational performance. From the exquisite symphony of supply chain management to the artful optimization of processes, you will develop virtuosic expertise to orchestrate impactful changes and deliver resounding results.By earning the Certified Data Scientist - Operations Certification, you ascend as a trusted virtuoso in operations analytics. Employers yearn for virtuosos who can transform data into harmonious insights and orchestrate operational excellence.

This certification harmonizes your competence in utilizing data science principles to fine-tune processes, reduce costs, and compose harmonious decision-making.
The euphonious benefits of this certification extend beyond skill acquisition. As a Certified Data Scientist - Operations, you join an esteemed ensemble of professionals who lead the data symphony.

Furthermore, this certification opens the doors to a grand symphony of career opportunities. Organizations across all industries are in search of data virtuosos with expertise in operations analytics. Whether you aspire to perform in manufacturing, logistics, healthcare, or finance, this certification positions you as a highly sought-after soloist for roles such as operations analyst, supply chain maestro, or process improvement virtuoso.Investing in the Certified Data Scientist - Operations Certification is investing in the symphony of your future.

It is a testament to your commitment to professional excellence and your dedication to staying in perfect harmony in a rapidly evolving field. Stand out with your virtuosic talents, demonstrate your expertise, and compose a triumphant crescendo in your career.It's worth noting that this certification is also referred to as Operations Analytics Certification, Certified Operations Data Scientist, and Data-Driven Operations Certification. These variations reflect the breadth and depth of the skills you'll acquire through this certification.

image

Not sure about your success rate?

image

COURSE SYLLABUS

Introduction to Data Science in Operations

  • Overview of data science and its applications in operations management
  • Data-driven decision-making in operations
  • Introduction to Python and relevant libraries for data analysis
     

Optimization Techniques

  • Linear programming and integer programming
  • Network optimization and graph algorithms
  • Heuristic algorithms and metaheuristics
  • Multi-objective optimization
     

Simulation and Modeling

  • Monte Carlo simulation and random variate generation
  • Discrete-event simulation modeling
  • Model validation and output analysis
  • Agent-based modeling and simulation

Decision Analysis

  • Decision trees and influence diagrams
  • Utility theory and decision criteria
  • Sensitivity analysis and risk assessment
  • Multi-criteria decision analysis

Supply Chain Analytics

Forecasting techniques for demand planning
Inventory management and optimization
Transportation and logistics optimization
Supplier selection and procurement analytics

Process Optimization and Six Sigma

  • Lean principles and process improvement methodologies
  • Six Sigma and statistical process control (SPC)
  • Design of experiments (DOE) for process optimization
  • Quality management and performance metrics

Data Analytics for Service Operations

  • Customer analytics and customer relationship management (CRM)
  • Queueing theory and waiting time analysis
  • Service level optimization and capacity planning
  • Service quality measurement and improvement

Project Management and Analytics

Project selection and portfolio management
Critical Path Method (CPM) and project scheduling
Resource allocation and project risk analysis
Agile project management and data-driven decision-making

Find Authorized Training Providers

Prerequisite Certification

  •  Proficient programming skills: Strong knowledge of programming languages like Python, R, or SQL is necessary for the Certified Data Scientist - Operations Certification.
  •  Statistical knowledge: Understanding statistics and probability theory is crucial for data analysis and modeling in operations.
  •  Data manipulation and visualization expertise: Experience with tools like pandas, SQL, and Tableau helps in efficiently handling and visualizing data.
  •  Machine learning and predictive modeling: Familiarity with machine learning algorithms and techniques is advantageous for applying data science to operational challenges.
  •  Business acumen: Understanding supply chain management, process optimization, and performance metrics aligns data-driven insights with organizational goals.

Who can pursue this certification?

Data Scientists with Operations Focus: Professionals who specialize in applying data science techniques and methodologies to optimize operational processes, supply chain management, or resource allocation.

Operations Analysts: Individuals who use data analysis and statistical modeling to optimize operational efficiency, improve forecasting, or enhance decision-making in operations management.

Business Analysts with Operations Focus: Professionals who leverage data science and analytics to drive operational improvements, streamline processes, or identify cost-saving opportunities.

Operations Managers: Individuals responsible for managing and overseeing operational processes, who want to enhance their understanding and application of data science in operations management.

Supply Chain Analysts: Experts in analyzing supply chain data, optimizing inventory management, demand forecasting, or logistics, using data science techniques.

IT Professionals with Operations Focus: Individuals with a technical background who work on implementing data science solutions, building analytics platforms, or developing data-driven tools for operations management.

Industrial Engineers: Professionals who use data science and analytics to optimize processes, reduce waste, improve productivity, or enhance quality in manufacturing or other industrial operations.

Professionals in Operations Research: Individuals who apply mathematical modeling, optimization techniques, and data-driven analysis to solve complex operational problems.

Certified Data Scientist - Operations

(Test Preparation Study Guide)

Get a free study guide for the Certified Data Scientist - Operations Certification. Explore the syllabus, exam details, and build a successful data science career.

 

The Benefits

International Credential

IABAC is a widely recognized credentialing framework based on European commission funded EDISON Data Science body of knowledge. This credential provides distinction as high potential certified Data Science Professionals enabling better career prospects.

Global Opportunities

IABAC certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

Specialization

IABAC Certification designed to cater to the job requirements of all experience levels and specializations, which suits roles aligned with the industry standards.

Relevant and updated

IABAC CPD (Continuing Professional Development) program enables credential holders to update their skills and stay relevant to the industry requirements.

Higher Salaries

On an average, a certified professional earns 30-40% more than their non-certified as per recent study by Forbes.

Summits & Webinars

In addition, IABAC members will have exclusive access to seminars and Data Science summits organised by IABAC partners across the globe.

Not sure which certification suits your goal? Get a free counselling

DATA SCIENCE CERTIFICATIONS

image

Data Science Foundation
image

Certified Data Science Developer
image

Certified Machine Learning Expert
image

Certified Data Scientist
image

Certified Data Scientist - Finance

image

Certified Data Scientist - HR

image

Certified Data Scientist - Marketing
image

Data Science Certified Manager
image

Certified Data Engineer
image

Certified MLOps Engineer

COURSE FAQs

Does IABAC provide training for Certified Data Scientist operations certification?

IABAC doesn’t provide training for Certified Data Scientist operations certification but IABAC has a world-wide network of authorized training partners, who provide training aligned with the IABAC program syllabus.

Does Certified Data Scientist operations certification require renewal?

Certified Data Scientist operations is an advanced level certification and thereby, as per IABAC guidelines, this certification requires renewal every 3 years.

What is the process to re-take Certified Data Scientist operations exam?

The Certified Data Scientist operations  exam retake process is the same as the regular booking. If you have booked through IABAC authorized partners then, your training institute can book the retake at significant discount.

How long does it take to get a Certified Data Scientist operations certificate after the exam completion?

 The time taken for Certified Data Scientist operations certification after the exam completion is usually 10 working days.

What is IABAC Certified Data Scientist operations certification value in the global market?

IABAC is arguably the most respected certification and the world’s first Certified Data Scientist operations certification board based on the European commission Edison framework.  The regions such as the USA, UK, Singapore, India and the Middle-east, IABAC is well recognised and many MNCs specifically mention IABAC requirements in their job descriptions.