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    3. Merging Data from Different Sources in Python

    Merging Data from Different Sources in Python

    Posted By: IrGens
    Date: 10 Jun 2023 14:14:58
    Merging Data from Different Sources in Python

    Merging Data from Different Sources in Python
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 46m | 145 MB
    Instructor: Rudi Bruchez

    Unlock the power of pandas and master data merging in Python! Discover join types, merge key specs, and advanced techniques to solve real-world problems.

    What you'll learn

    Combining data from various sources is crucial for data professionals to extract valuable insights.

    In this course, Merging Data from Different Sources in Python, you'll learn the techniques to merge and concatenate diverse data sets seamlessly using pandas.

    First, you'll delve into concatenation with pandas' concat() and append() functions.

    Next, you'll explore different types of joins, such as one-to-one, many-to-one, and many-to-many, using the pd.merge() function.

    Finally, you'll learn how to handle non-matching column names, merge with indices, and resolve overlapping column names using advanced merging strategies.

    When you finish this course, you'll have the skills and knowledge needed to effectively combine data from diverse sources in Python, facilitating more comprehensive data analysis.

    Software required: Python 3.x and pandas library.

    More Info

    Merging Data from Different Sources in Python
    UPWARDS