__ Certifications ________________
IBM Data Science Professional Certificate
IBM via Coursera — 2023
Completed a series of hands-on courses covering Python, SQL, data analysis, data visualization, and machine learning. Built and deployed several data science projects on GitHub.
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Data Science Ethics
University of Michigan — 2023
Explored ethical issues in data privacy, algorithmic bias, and responsible AI. Emphasized fair and inclusive data practices.
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Data Analytics Bootcamp
Lighthall — 2023
Completed an intensive bootcamp covering exploratory data analysis, data visualization, and basic machine learning concepts using real-world datasets.
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Business Analytics with Excel: Elementary to Advanced
Johns Hopkins University (via Coursera) — 2023
Gained applied skills in business data modeling using Excel. Covered topics included pivot tables, regression analysis, forecasting, and automation for strategic decision-making.
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Python for Data Science, AI & Development
IBM — 2023
Learned foundational Python programming, working with data structures, libraries like Pandas and NumPy, and creating Jupyter notebooks for data analysis.
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Introduction to Statistics
Stanford University (via Coursera) — 2023
Learned foundational statistical methods including probability, inference, and regression to analyze and interpret real-world data using practical examples.
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Data Analysis using Python Programming
ACETEL – NOUN & Edify Technology — 2023
Completed a foundational course covering Python programming, data cleaning, visualization, and analysis using libraries such as Pandas and Matplotlib.
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