100% Discount || Master Data Science Prerequisites – Numpy – Pandas- Seaborn

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    Master Data Science Prerequisites – Numpy – Pandas- Seaborn


    • No introductory skill level of Python programming required
    • Desire to learn!


    ***** Enrol now in the most comprehensive and up-to-date (Nov 2022) course available for the Data Science Prerequisites Concepts! *****

    About the Instructor.

    This course is led by Aditya Dhandi – an international trainer, consultant, and data analyst with over 100 000 enrollments on Udemy. Aditya specializes in teaching data analysis techniques, Excel Pivot Tables, Power Pivot, Microsoft Power BI, & Google Data Studio & his courses average 4+ stars out of 5.

    He’s also the founder of the popular website, Jobshie.

    Why Learn Data Science Prerequisites?

    If you’ve spent time in a spreadsheet software like MS Excel or Google Sheets and want to take your data analysis skills to the next level, this course is for you!

    Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python.

    Pandas is the most powerful and flexible open source data analysis/manipulation tool available in any language.

    pandas is well suited for many different kinds of data:

    • Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet
    • Ordered and unordered (not necessarily fixed-frequency) time series data.
    • Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels
    • Any other form of observational / statistical data sets. The data need not be labeled at all to be placed into a pandas data structure


    Who this course is for:

    • Data Scientists, Data Analysts.
    • Students and professionals who wants to do data analysis using python.
    • Students and professionals who have tried machine learning and data science but are having trouble putting the ideas down in code
    • Python developer who wants to do analysis of tabular data.
    • Who wants to start their data visualization journey
    • Who Is curious about how to build effective and impactful graphs
    • Who Is looking to break into the business intelligence, analytics or data visualization field
    • Anyone who want to express thoughts, findings, insights from any kind of data using data Visualization.

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    Get this Deal

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