Data Science with Python

Python is a versatile programming language with a rich ecosystem of libraries well-suited for data science. Our Python for Data Science training teaches learners Python programming fundamentals, data analysis techniques, and machine learning algorithms. Participants learn to use libraries like NumPy, Pandas, matplotlib, and Scikit-learn for data manipulation, statistical analysis, and model-building tasks.

Our courses cater to various skill levels, from beginners to experienced professionals seeking to expand their data science expertise.

13 results found for "Data Science with Python"

  • Programming Topic: Advanced Data Science Programming & Predictive AI | Code: DS-2202

    Statistical Modeling for Data Analysis (Course)

    DS-2202

    Apply statistical modeling for problems where machine learning doesn't fit. Probability distributions, statistical metrics, sampling, and inference cover PDF/PMF, the central limit theorem,...

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  • Programming Topic: Programming | Code: WA2905

    Data Engineering with Python (Course)

    WA2905

    This intensive hands-on Data Engineering training course teaches the students how to apply Python to the practical aspects of data engineering and introduces the students to the popular Python...

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  • Programming Topic: Programming | Code: WA3032

    Intermediate Data Engineering with Python (Course)

    WA3032

    This Data Engineering with Python course teaches attendees how to use Apache Spark and AWS Glue to build scalable and reliable data pipelines. Skills Gained Understand the Spark platform and its...

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  • Programming Topic: Python | Code: WA3424

    NumPy and pandas Essentials (Course)

    WA3424

    In this NumPy and pandas training course, attendees learn how to use these essential Python libraries to craft clean and organized datasets, use the quick calculations of NumPy for deeper insights,...

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  • Data Analytics Topic: Cloud | Code: WA3628

    Data Engineering with Python using AWS CDK (Course)

    WA3628

    The AWS Cloud Development Kit (CDK) is an open-source framework for defining cloud infrastructure using popular programming languages like TypeScript, JavaScript, Python, Java, C#, and Go. This course...

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  • Programming Topic: Programming | Code: DS-1201

    Applied Data Science Concepts with Python (Course)

    DS-1201

    Build a practical data-science foundation with Python that transfers directly to production work. The course covers the Python data-science environment, the data-science workflow with feature...

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  • Programming Topic: Data Science | Code: DS-1101

    Essential NumPy and Pandas for Data Science (Course)

    DS-1101

    Apply NumPy and Pandas to daily data work with production-grade efficiency. NumPy work covers matrix math, vectorized broadcast operations, array fundamentals, and the efficiency patterns that...

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  • Programming Topic: Data Visualization | Code: DS-2203

    Effective Data Visualization & Storytelling (Course)

    DS-2203

    Build data visualizations and stories that move non-technical stakeholders to act. Principles of visual communication cover perception, cognitive load, best practices, dashboard and report design, and...

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  • Oracle Database Topic: Programming | Code: D108363GC10

    Oracle - Python for Data Analytics and Machine Learning (Course)

    D108363GC10

    The Python for Data Analytics and Machine Learning course teaches you the fundamentals of Python programming, which you will need to know before embarking on training related to Data Analysis and...

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  • Generative AI Topic: Data Science | Code: DATA-102

    Data Science for Healthcare Overview (Course)

    DATA-102

    Skills Gained Understand how data science fits into the existing landscape of traditional biostatistics, epidemiology, and informatics Place the phrase 'data science' in the broader context of...

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