Data Science Certified Manager Certification (DSCM – DS2070)

  • Supercharge Your Career: Gain the Data Science Certified Manager Certification to unlock new career opportunities and boost your earning potential.
  • Master Data-Driven Decision Making: Learn advanced data analytics techniques to make informed decisions that drive business growth.
  • Lead Data Science Initiatives: Become a trusted leader in data science, equipped with the skills to design and implement successful data-driven strategies.
image

Download Syllabus

 200/-
(Including all taxes)
Book Exam Enquiry Now

Data science management is the art of effectively harnessing the potential of data to propel organizations towards success. A DSCM certification provides individuals with the knowledge and skills to navigate complex datasets, extract valuable insights, and transform them into actionable strategies. Certified data science managers play a pivotal role in driving innovation, identifying trends, and making data-driven decisions that lead to enhanced efficiency and profitability. Business analytics is at the core of the DSCM certification. With a focus on analyzing historical data, evaluating market trends, and identifying patterns, certified professionals become adept at interpreting complex datasets and translating them into strategic initiatives. 

Through the DSCM IABAC certification, individuals gain expertise in predictive modeling and machine learning applications. This enables them to leverage historical data to build accurate predictive models, identify future trends, and forecast business outcomes. These insights are invaluable in making proactive decisions, mitigating risks, and capitalizing on emerging opportunities.

With the DSCM IABAC certification, professionals gain expertise in applying statistical techniques to analyze data, identify correlations, and validate hypotheses. By leveraging statistical analysis, certified data science managers ensure decisions are based on sound evidence, reducing the reliance on guesswork and intuition.

The DSCM IABAC certification emphasizes the importance of data governance and ethics. Data privacy, security, and compliance are critical concerns in today's digital landscape. Certified professionals understand the ethical considerations surrounding data usage and are equipped to implement robust data governance frameworks that prioritize data protection and integrity. This instills trust among stakeholders and strengthens the organization's reputation.

 

image

Not sure about your success rate?

image

COURSE SYLLABUS

Introduction to Data Science and its Applications

  • Introduction to data science and its impact on organizations
  • Applications of data science in different industries
  • Understanding the data science workflow
  • Ethical considerations in data science

Data Science Project Management  

  • Project management methodologies and frameworks
  • Defining project scope, objectives, and deliverables
  • Creating project plans, timelines, and budgets
  • Risk management and mitigation strategies in data science projects

Team Leadership and Collaboration  

  • Effective leadership skills for data science teams
  • Team building and fostering a collaborative culture
  • Communication strategies for managing data science projects
  • Conflict resolution and managing diverse teams
     

Data Strategy and Governance

  • Developing a data-driven strategy for organizations
  • Data governance and data management frameworks
  • Data privacy and compliance considerations
  • Establishing data quality standards and data governance policies

Data Science Tools and Technologies

  • Overview of data science tools and technologies
  • Evaluating and selecting appropriate tools for data science projects
  • Integration and management of data science platforms
  • Ensuring scalability and performance of data science infrastructure

Data Science Project Lifecycle

  • Understanding the stages of the data science project lifecycle
  • Defining business objectives and problem formulation
  • Data collection, preprocessing, and feature engineering
  • Model development, evaluation, and deployment

Strategic Decision-making with Data

  • Leveraging data for strategic decision-making
  • Techniques for data-driven decision support
  • Identifying key performance indicators (KPIs) and metrics
  • Monitoring and evaluating the impact of data-driven decisions

Data Science Ethics and Legal Considerations

  • Ethical considerations in data science and AI applications
  • Privacy, security, and legal issues in data science projects
  • Ensuring fairness and mitigating bias in data-driven decision-making
  • Compliance with regulations and standards (e.g., GDPR, HIPAA)

Find Authorized Training Providers

Prerequisite Certification

  • Strong Foundation in Data Science: A solid understanding of fundamental concepts in data science is essential. Proficiency in statistical analysis, machine learning algorithms, data visualization, and programming languages like Python or R is crucial.
  • Relevant Work Experience: Prior experience in the field of data science or a related domain is highly recommended. This could include roles involving data analysis, data engineering, data modeling, or business intelligence, which provide valuable context for managerial responsibilities.
  • Knowledge of Data Management: Familiarity with data management practices, such as data governance, data quality assurance, data privacy, and data security, is vital for a data science manager. Understanding how to effectively manage and utilize data assets is essential for strategic decision-making.
  • Leadership and Communication Skills: As a data science manager, strong leadership and communication skills are vital. The ability to guide and inspire a team, effectively communicate complex concepts to non-technical stakeholders, and collaborate with cross-functional teams are essential for success in this role.
  • Business Acumen: A solid understanding of business principles and the ability to align data science initiatives with organizational goals is crucial. Data science managers should have a holistic view of how data-driven insights can drive business growth, optimize operations, and improve decision-making processes.

Who can pursue this certification?

Data Science Managers: Professionals who lead and manage data science teams, oversee data science projects, and are responsible for the strategic implementation of data science initiatives within an organization.

Analytics Managers: Individuals who manage analytics teams and are responsible for implementing data-driven decision-making processes across various business functions.

IT Managers: Professionals with a technical background who manage data science or analytics teams within an IT department and ensure effective utilization of data science technologies and resources.

Project Managers in Data Science: Individuals who specialize in managing data science projects, coordinating project timelines, resources, and deliverables, and ensuring successful project execution.

Business Intelligence Managers: Experts in managing business intelligence teams and driving data-driven insights to support strategic business decisions.

Data Governance Managers: Professionals responsible for managing data governance policies, data quality, and data compliance within an organization, with a focus on data science and analytics.

Senior Data Scientists: Experienced data scientists who have transitioned into managerial roles and want to enhance their skills in leading data science teams and projects.

Executives and Leaders: High-level executives or leaders who oversee data science initiatives within an organization and want to gain a deeper understanding of managing data science teams and leveraging data science for business impact.

Aspiring Data Scientists: Perfect for those aiming to become data scientists, the Data Science Certified Manager Certification provides comprehensive knowledge and skills in data science principles and analysis.

Experienced Professionals: Ideal for analytics, business intelligence, and data management experts, this certification enhances skills in data science and machine learning, enabling them to excel in managerial roles.

Managers and Team Leaders: Designed for those overseeing data science projects or teams, this certification equips them with the necessary knowledge to effectively lead and manage data-driven initiatives.

Business Analysts: Enhance analytical capabilities and expand knowledge in data science with this certification, enabling business analysts to extract valuable insights and drive business growth.

IT Professionals and Software Engineers: Transition careers to data science with the Data Science Certified Manager Certification, providing a strong foundation in data science principles, programming, and machine learning algorithms.

Data Science Certified Manager

(Test Preparation Study Guide)

Enhance your career opportunities  with the Data Science Certified Manager certification. Get a free study guide and become an expert in data science management. Empower your future today!

 

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 - Operations

image

Certified Data Scientist - Finance

image

Certified Data Scientist - HR

image

Certified Data Scientist - Marketing
image

Certified Data Engineer
image

Certified MLOps Engineer

COURSE FAQs

Where can I find IABAC Data Science Certified Manager Certification exam questions for practice?

You can find the mock questions on IABAC website. Also, there are many unofficial sources for IABAC exam practice questions.

Do I get a hard copy of the IABAC Certification?

IABAC doesn’t provide hard-copy certification but the candidates are licensed to print the official e-cert and create hard-copy certificate, which would be equally valid.

How can I verify IABAC certification?

IABAC certificates can be verified for the authenticity and validity along with expiry date at https://iabac.org/certifications/verify-certificate 

 

What is EDISON Data Science Framework (EDSF) - European Commission Program?

Data Science Framework (EDSF) is based around a group of tightly related documents namely the Competence FRamework, the Body of Knowledge and the Model Curriculum, the various processes that exist to keep the information within these documents are almost equally as important. Therefore the activities of the Expert Liaison Groups, the Education and Training Champions as well as the ongoing fieldwork and research should be considered as valuable components of the Framework.

Is it mandatory to take training from IABAC authorized institutes?

No. It is not mandatory to take training from IABAC authorized institutes but it is highly recommended as the pass rate through the authorized institutes is above 95% as the training is aligned with exam requirements.