What topics are on the C1000-059 exam?

Scientific, Mathematical, and Technical Essentials for Data Science and AI 15%

1.1

Analytics Types

1 subtopics

1.1.1Analytics Classifications

Learning Objectives

Explain the difference between Descriptive, Prescriptive, Predictive, Diagnostic, and Cognitive Analytics

1.2

AI and Data Science Terminology

2 subtopics

1.2.1Key Terms and Concepts

1.2.2Data Science Streams

Learning Objectives

Describe and explain the key terms in the field of artificial intelligence
Distinguish different streams of work within Data Science and AI

1.3

Machine Learning Fundamentals

2 subtopics

1.3.1ML Pipeline Stages

1.3.2Design Thinking

Learning Objectives

Describe the key stages of a machine learning pipeline
Explain the fundamental terms and concepts of design thinking

1.4

Tools and Technologies

1 subtopics

1.4.1Open Source and IBM Tools

Learning Objectives

Distinguish and leverage key Open Source and IBM tools and technologies that can be used by a Data Scientist to implement AI solutions

1.5

Mathematical Foundations

2 subtopics

1.5.1Probability Distributions

1.5.2Matrix Operations

Learning Objectives

Explain the general properties of common probability distributions
Explain and calculate different types of matrix operations

Domain Hands-on Skills

Statistical analysisMathematical computationTool selection

Common Mistakes to Avoid

Confusing ML with AI
Misunderstanding analytics types
Incorrect matrix calculations

Applications of Data Science and AI in Business 12%

Data Understanding Techniques in Data Science and AI 13%

Data Preparation Techniques in Data Science and AI 15%

Application of Data Science and AI Techniques and Models 15%

Evaluation of AI Models 12%

Deployment of AI Models 10%

Technology Stack for Data Science and AI 18%

How do I earn the Ibm AI Enterprise Workflow V1 Data Science Specialist certification?

Official Pathway Guidance

Track: Data and AI

Prerequisites

NoneNo formal prerequisitesOptional

Next Steps

C1000-169IBM Cloud Pak for Data v4.6 Administrator
C1000-112Fundamentals of Quantum Computation Using Qiskit v0.2X Developer

Current Level

C1000-059AI Enterprise Workflow V1 Data Science SpecialistStandalone

Alternative Paths

C1000-182IBM Sterling File Gateway v6.2 Administration
C1000-141IBM Maximo Manage v8.0 Implementation
C1000-065IBM Cognos Analytics Developer V11.1.x

Certification Maintenance

Recertification Options:
No recertification required

How do I study for the C1000-059 Exam?

Practice the Ibm AI Enterprise Workflow V1 Data Science Specialist with our Exam Simulator

Free practice questions, exam guides, and real exam‑style explanations in our Planet Cert simulator.

Official Resources

AI Enterprise Workflow: End-to-End Creation and Deployment of Machine Learning Modelstraining_course IBM AI Enterprise Specialist Learning Pathlearning_path IBM Certified Specialist - AI Enterprise Workflow V1certification_page

Learn more about this exam

EDUSUM Sample Questionssample_questions

Study Tips

Focus on hands-on practice with Python and machine learning libraries
Understand the complete ML pipeline from data collection to deployment
Master evaluation metrics for both classification and regression
Practice with IBM Watson Studio and Cloud Pak for Data
Review dimensionality reduction techniques (PCA, t-SNE, autoencoders)
Study the differences between various analytics types (descriptive, predictive, prescriptive, etc.)
Understand IBM's AI services and their use cases

What's changed on this exam?

Technology Coverage

Watson StudioLatest

Enhanced AutoAI features may appear in future exam updates

Released: 2024-10-01

Python LibrariesVarious

Core libraries remain stable but new features continuously added

Released: Ongoing

Industry Trends

Generative AI integration becoming standard in enterprise AI platforms
MLOps practices increasingly emphasized in certification requirements
Responsible AI and governance gaining prominence in exam content
Hybrid cloud deployments becoming the norm for AI workloads
AutoML tools simplifying but not replacing data scientist expertise

Who should take this exam?

Recommended Experience

6+ months of experience working as a Data Scientist
Experience using IBM methods and open technologies to solve business problems
Knowledge of machine learning and deep learning fundamentals
Experience with Python programming
Understanding of data preparation and feature engineering techniques
Familiarity with model evaluation and deployment practices

Experience Level: Intermediate

How do I register & what's the exam fee?

Exam Cost	$200 USD
Testing Centers	Pearson VUE
Online Proctoring	Available

How long is the certification valid?

Valid For	Does not expire
Recertification	No recertification required - credential does not expire

Ibm AI Enterprise Workflow V1 Data Science Specialist

What's Included

Complete Exam Package

Multiple Exam Modes

Lifetime Updates

Money Back Guarantee

Exam Details

What topics are on the C1000-059 exam?

Scientific, Mathematical, and Technical Essentials for Data Science and AI 15%

Analytics Types

AI and Data Science Terminology

Machine Learning Fundamentals

Tools and Technologies

Mathematical Foundations

Domain Hands-on Skills

Common Mistakes to Avoid

Applications of Data Science and AI in Business 12%

Data Understanding Techniques in Data Science and AI 13%

Data Preparation Techniques in Data Science and AI 15%

Application of Data Science and AI Techniques and Models 15%

Evaluation of AI Models 12%

Deployment of AI Models 10%

Technology Stack for Data Science and AI 18%

How do I earn the Ibm AI Enterprise Workflow V1 Data Science Specialist certification?

Official Pathway Guidance

Prerequisites

Next Steps

Current Level

Alternative Paths

Certification Maintenance

How do I study for the C1000-059 Exam?

Practice the Ibm AI Enterprise Workflow V1 Data Science Specialist with our Exam Simulator

Official Resources

Learn more about this exam

Study Tips

What's changed on this exam?

Technology Coverage

Industry Trends

Who should take this exam?

Recommended Experience

How do I register & what's the exam fee?

How long is the certification valid?

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