Data Science

IBM Data Science

IBMCompleted 2024-07-31

Data SciencePythonMachine LearningData AnalysisSQLData Visualization

What I Learned

Develop hands-on skills in data science tools including Python, SQL, and Jupyter Notebooks

Collect, wrangle, and analyse data using Pandas, NumPy, and SQL

Build and evaluate machine learning models using scikit-learn

Apply data visualization and storytelling techniques to communicate insights

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IBM Data Science

IBM

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Educational Standards & Credential Integrity

This professional certificate confirms that Ankur Halder has successfully completed coursework, assessments, and technical implementations certified by IBM. Micro-credentials and formal certificates serve as verifiable evidence of mastery in modern software engineering principles, algorithms, cloud deployments, and software architecture.

Every course within this curriculum involves hands-on project building, peer code reviews, and structured knowledge evaluations designed to meet global industry requirements. The competencies gained directly enhance engineering capabilities across web development, system architecture, database optimization, and cloud operations.

To verify authentic certification status, official transcripts, and issuing authority records, use the verification link or download the signed PDF credential above. All certificates presented on this portfolio are verified through cryptographic or official issuer portals.