Python for Data Science

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.

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12 results found for "Data Science with Python"

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

    Essential NumPy and Pandas for Data Science (Course)

    DS-1101

    Effective data science begins with efficient data manipulation. NumPy and Pandas are two essential libraries in Python that provide powerful tools for data manipulation and analysis. This data science...

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  • Programming Topic: Programming | Code: DS-1201

    Applied Data Science Concepts with Python (Course)

    DS-1201

    Empower your team with data-driven thinking to make better decisions and solve complex problems. This Python for data science training provides a comprehensive, practical introduction to data science...

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

    Statistical Modeling for Data Analysis (Course)

    DS-2202

    Not every problem can be solved with machine learning. Teams working in highly regulated industries or with limited data may need to rely on statistical modeling. Statistical modeling is a powerful...

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  • Programming Topic: Programming | Code: DS-2203

    Effective Data Visualization & Storytelling using Python (Course)

    DS-2203

    The ability to visualize and narrate data-stories is crucial for impactful communication. This data visualization and storytelling course teaches participants how to transform raw data into compelling...

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  • Analytics Topic: Data Science | Code: DATA-138

    Analytics - Data Science Overview (Course)

    DATA-138

    How does data science fit into high-value business analytics? What are the differences between Machine Learning (ML) and Artificial Intelligence (AI)? This live, online Executive Overview of Data...

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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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