Data Science Foundations

Data Science Foundations

IntermediatePaidData Science

Issuer

IBM

Issued

2024-05-12

About

This badge earner has developed foundational skills in Data Science. The earner understands what Data Science is and knows about the various kinds of tasks that a Data Scientist performs. The individual has hands-on working knowledge of various open source Data Science tools such as Jupyter notebooks, can describe and apply the methodology and process to solve data science problems, and has an applied knowledge of working with relational databases and accessing data using SQL.

Skills

ZeppelinWatson StudioSQLRStudioRDBMSPWID-B0230200Open Source ToolsNotebooksMachine LearningJupyterDb2Data Science MethodologyData ScienceDatabaseArtificial IntelligenceAI

Issued by IBM via Credly – May 2024

Credential Verification & Framework

This digital badge represents verified technical competence and successful completion of coursework, hands-on labs, and practical assessments administered by IBM. Micro-credentials issued through Credly contain tamper-proof cryptographic metadata confirming the recipient identity and the specific criteria required for earnability.

As part of Ankur Halder's commitment to continuous professional development, all earned badges are periodically synced and cross-referenced against official learning provider transcripts to maintain an accurate, transparent record of skills across cloud architecture, full-stack engineering, and security practices.

Earning this credential involved rigorous domain evaluation, including demonstrating mastery over industry-standard concepts, applying problem-solving strategies in real-world scenarios, and completing hands-on project milestones. The competencies validated by this badge contribute directly to engineering robust, scalable web applications and maintaining production software reliability.

To verify this credential directly on Credly's official registry, navigate using the button above. Third-party verification platforms provide cryptographic proof of authenticity, issuing timestamps, and detailed learning outcomes mapped to national and international skill standards.

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