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Master Data Analysis with Python - Intro to Pandas
Rating: 4.4 out of 5(447 ratings)
12,577 students

Master Data Analysis with Python - Intro to Pandas

Begin your data analysis journey with Python by mastering the fundamentals of the pandas library
Created byTed Petrou
Last updated 5/2022
English

What you'll learn

  • Best practices from pandas expert Ted Petrou author of Master Data Analysis with Python
  • Introduction to the pandas DataFrame and Series
  • Understanding the different data types available within a DataFrame
  • Accessing the DataFrame components - the index, columns, and values
  • Setting a meaningful index in a DataFrame
  • Completing a five-step process for data exploration

Course content

8 sections • 31 lectures • 1h 49m total length

  • Course Overview2:19
  • Python and Pandas Installation with the Miniconda Distribution4:49

    Installing Python and Pandas

    This course assumes you already know the basics of the Python programming language and have installed it on your machine. That said, complete instructions for installing both Python, Pandas and Jupyter Notebook are given in the attached PDF document. The instructions walk you through installing the Miniconda distribution and then the other data science packages including Pandas and Jupyter Notebook.

    If you already have Python installed

    If you would like to keep using your current Python installation then install Pandas and Jupyter Notebook with the following depending on whether you are using pip or conda as your package manager:

    • pip install pandas jupyter

    • conda install pandas jupyter

Requirements

  • It is necessary to understand the fundamentals of the Python programming language. No prior experience with pandas needed.

Description

Master Data Analysis with Python - Intro to Pandas targets those who want to completely master doing data analysis with pandas. This course provides an introduction to the two primary pandas objects, the DataFrame and Series. This is a brand new free course updated for the latest version of pandas.

This course is taught by expert instructor Ted Petrou, author of the highly-rated text books Pandas Cookbook and Master Data Analysis with Python. Ted has taught over 1,000 hours of live in-person data science courses that use the pandas library. Pandas is a difficult library to use effectively and is often taught incorrectly with poor practices. Ted is extremely adept at using pandas and is known for developing best practices on how to use the library.

All of the material and exercises are written in Jupyter Notebooks available for you to download. This allows you to read the notes, run the code, and write solutions to the exercises all in a single place.

This course targets those who have an interest in becoming experts and completely mastering the pandas library for data analysis in a professional environment. This course does not cover all of the pandas library, just a small and fundamental portion of it. If you are looking for a brief introduction of the entire pandas library, this course is not it. It takes many dozens of hours, lots of practice, and rigorous understanding to be successful using pandas for data analysis in a professional environment.

Intro to Pandas is first in the Master Data Analysis with Python series which includes the following sequence of courses:

  • Intro to Pandas

  • Selecting Subsets of Data with Pandas

  • Essential Pandas Commands

  • Grouping Data with Pandas

  • Time Series with Pandas

  • Cleaning Data with Pandas

  • Joining Data with Pandas

  • Data Visualization

  • Advanced Pandas

  • Exploratory Data Analysis

This course assumes no previous pandas experience. The only prerequisite knowledge is to understand the fundamentals of Python.

Who this course is for:

  • Those who want to begin a comprehensive path for mastering the pandas library with best practices to analyze data

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