Exam Format

• Exam Code: C1000-177
• Certification Level: Foundations
• Exam Duration: 90 minutes
• Passing Score: Not officially disclosed by IBM (commonly estimated at ~65–70%)
• Unscored Content: IBM may include unscored questions for research purposes. These questions are not identified and do not affect your final score.

Exam Details

• Question Types: Multiple choice, multiple response
• Number of Questions: Approximately 50–60 questions (IBM does not publish an exact number)
• Hands-On Questions: The exam is knowledge-based and does not include live lab or performance-based simulations.

Exam Policies

• Offline Proctoring: Must be rescheduled or canceled at least 48 hours before the scheduled exam time.
• Online Proctoring: Must be rescheduled or canceled at least 30 minutes before the scheduled exam time.
• Waiting Period: A minimum 5-calendar-day wait is required after a failed attempt before retaking the exam.
• Retake Fee: Full exam fee must be paid for each retake.

Certification Validity and Renewal

• Validity: IBM certifications do not expire. However, IBM may release updated foundational exams as platforms evolve.
• Renewal Options: Candidates are encouraged to pursue updated versions or advanced IBM data science and AI certifications as new releases become available.

Exam Fee

• Base Fee: $200 USD (excluding taxes)
• Taxes: Country-specific VAT/GST may apply
• Example: In India, 18% tax applies, making the total $236 USD ($200 + $36 tax)

Prerequisites

• Basic understanding of data concepts and statistics
• Familiarity with spreadsheets, databases, or introductory programming concepts
• Interest in data science, analytics, and AI fundamentals

Exam Topics

• Data Science Foundations: Data types, data lifecycle, data preparation, and exploratory data analysis
• Statistics and Analytics Basics: Descriptive statistics, distributions, correlation, and basic inference
• Introduction to Machine Learning: Supervised vs. unsupervised learning, model concepts, and evaluation basics
• IBM watsonx Overview: watsonx.data, watsonx.ai, and watsonx.governance concepts and use cases
• Responsible and Trusted AI: Data privacy, bias, explainability, and AI governance principles
• Data Science Use Cases: Applying data science concepts to real-world business and industry scenarios

Intended Audience

• Aspiring Data Scientists
• Data Analysts and Business Analysts
• Students and early-career professionals
• Technical and non-technical professionals seeking data science fundamentals

Career Impact

 Jobs You Can Get:

• Junior Data Analyst, Associate Data Scientist, Data Science Trainee

Average Salary:

• U.S.: $60,000–$85,000 USD
• India: ₹4,00,000–₹10,00,000 INR
• United Kingdom: £30,000–£50,000 GBP
• UAE: 90,000–150,000 AED per year

Why It’s Valuable:

• Provides a strong foundation in data science and AI concepts using IBM’s modern watsonx platform, serving as a stepping stone to advanced analytics, AI, and Cloud Pak for Data certifications.

Exam Mode

• In-person at authorized Pearson VUE test centres
• Online through Pearson VUE’s online proctoring system

Exam Booking Link

• Book your Foundations of Data Science using IBM watsonx exam via Pearson VUE — Click here
  https://www.pearsonvue.com/us/en/ibm.html

Once you pass the exam:

• Your certification status is updated in IBM’s certification system
• A digital badge is issued via IBM/Credly within a few days of passing
• You can view, download, and share your credential through the badge platform

Offers