Analyzing Data Using Python: Data Analytics Using Pandas

Python    |    Beginner
  • 9 videos | 1h 15m 27s
  • Includes Assessment
  • Earns a Badge
Rating 4.5 of 807 users Rating 4.5 of 807 users (807)
Built on the Python programming language, pandas provides a flexible and open source tool for data manipulation. In this course, you'll develop the skills you need to get started with this library. You'll begin by installing pandas from a Jupyter notebook using pip. Next, you'll instantiate a pandas object, including a Series and DataFrame, and practice several ways of instantiating Dataframes - for instance, from lists, dictionaries of lists, and tuples created from lists using the zip method. You round out this course by performing filter operations on DataFrames using the loc and iloc operations - fundamental techniques used to access specific rows and columns. You'll use loc to identify rows based on labels and iloc to access rows based on the index offset position starting from 0.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Create a pandas series object
    Perform basic operations on series objects
    Cast data types within series objects
    Filter data in series objects using logical operations
  • Create the tabular dataframe object in pandas
    Look up data using dataframe methods
    Create dataframes from dictionaries and tuples
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 45s
  • 11m 32s
  • Locked
    3.  Performing Basic Series Operations
    10m 37s
  • Locked
    4.  Performing Casting Operations Using Series
    10m 22s
  • Locked
    5.  Performing Logical Operations Using Series
    5m 43s
  • Locked
    6.  Creating and Editing pandas DataFrames
    11m 3s
  • Locked
    7.  Performing Data Lookup Using DataFrames
    9m 38s
  • Locked
    8.  Constructing DataFrames from Dictionaries and Tuples
    11m 30s
  • Locked
    9.  Course Summary
    2m 17s

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