IBM A1000-120 - Assessment: Data Science Foundations Certification: Complete Guide 2025
Exam Code: A1000-120
The IBM A1000-120 certification validates foundational knowledge in data science concepts, methodologies, and tools essential for data-driven decision making and analytics.
Exam Details
IBM A1000-120 - Assessment: Data Science Foundations Resources
Everything you need to prepare for and pass your exam
Practice Exam
Full-length IBM A1000-120 - Assessment: Data Science Foundations practice test
Exam Simulator
Realistic exam simulation experience
Mock Exam
Full-length timed mock exam
Study Guide
Comprehensive study materials
Exam Objectives
Official exam domains and topics
Free Practice Test
Free sample questions to try
Exam Domains & Topics
Master these 4 domains to pass your exam
Data Science Fundamentals
of exam
Statistical Analysis and Mathematics
of exam
Data Manipulation and Visualization
of exam
Machine Learning Basics
of exam
Who Should Take This Exam?
This certification is ideal for the following professionals
- IT professionals seeking to transition into data science roles
- Business analysts wanting to expand their analytical capabilities
- Recent graduates pursuing careers in data analytics
- Developers interested in adding data science skills to their portfolio
Recommended Study Timeline
Plan your preparation effectively
6-8 weeks
Recommended study duration
Weeks 1-2: Foundation
Review exam objectives & core concepts
Weeks 3-6: Deep Dive
Study each domain with hands-on practice
Weeks 7-8: Practice & Review
Take practice exams & focus on weak areas
Practice by Difficulty
Choose your challenge level
Practice Question Banks
Extensive question collections for thorough preparation
2025 Exam Resources
Latest materials updated for the current exam version
Career Opportunities
Related Job Titles
$95,000
Average Annual Salary
Prerequisites
Basic understanding of statistics and mathematics Familiarity with programming concepts (Python or R recommended) General knowledge of database concepts No formal IBM certification required
IBM A1000-120 - Assessment: Data Science Foundations FAQs
Common questions about the A1000-120 certification exam
The IBM A1000-120 is a foundational-level certification that validates your understanding of data science principles, statistical analysis, data manipulation, and basic machine learning concepts. It demonstrates your readiness to work with data-driven projects and analytics initiatives.
The A1000-120 exam is considered foundational level and is designed for those beginning their data science journey. With proper preparation using official IBM study materials and hands-on practice, candidates with basic statistical and programming knowledge can successfully pass within 6-8 weeks of focused study.
Professionals with the IBM A1000-120 certification can expect average salaries around $95,000 annually, though this varies by location, experience level, and specific job role. This certification serves as a strong foundation for advancing to higher-level data science positions with increased earning potential.
About the IBM A1000-120 - Assessment: Data Science Foundations Certification
The IBM A1000-120 - Assessment: Data Science Foundations (A1000-120) is a foundational-level certification offered by IBM. This certification validates your expertise in data science and is recognized globally by employers seeking qualified professionals.
Why Get IBM A1000-120 - Assessment: Data Science Foundations Certified?
- Career Advancement: Certified professionals earn an average of $95,000 per year
- Industry Recognition: IBM certifications are respected worldwide
- Skill Validation: Demonstrate your expertise to employers and clients
How to Prepare for A1000-120
Hydranode offers comprehensive preparation materials including practice exams, study guides, and free practice tests to help you pass on your first attempt.