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Master Data Analysis with Python

In this course, you will be introduced to the DataFrame and the Series, the two primary containers of data within pandas. You will learn the components of these objects and a few basic operations and also know what subset selection methods you should

Theodore Petrou
Theodore Petrou
Published: Sep 2022
Intermediate
Data Science
10 hours
Master Data Analysis with Python

Course Overview

In this course, you will be introduced to the DataFrame and the Series, the two primary containers of data within pandas. You will learn the components of these objects and a few basic operations and also know what methods of subset selection you should avoid.   You will begin performing calculations on your data. You will begin by learning how to operate on a single column of data, a pandas Series and learn the difference between methods that aggregate (return a single value) and those that do not. After learning how to operate on a single column of data, you'll learn how to operate on multiple columns at the same time by calling methods on a DataFrame. You'll learn how to change the direction of the operations from vertical to horizontal.  You'll also learn about the categorical data type, which is unique to pandas and has the ability to save a tremendous amount of memory. Up to this point in the course, all operations were applied to the entire dataset. You will learn how to apply operations to independent groups within your data instead of the whole. You will also learn how to display the results of grouping in a more human-readable way with pivot tables.  Grouping data can be tricky in pandas and potentially be one of the slowest performing operations. You will learn best practices on how to optimize performance along with the newest syntax available. 

Skills You Will Gain

Data Analysis
Data Science
Pandas
Pandas DataFrame
Python

Course Includes

1.4K
STUDENTS*
94.1%
RECOMMEND*

This course includes:

  • 10+ hours of on-demand video  
  • Many downloadable resources 
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

Learning Outcomes (At the end of this program, you will be able to...)

  • 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 
  • Learn how to select rows and columns simultaneously 
  • Learn how to filter for specific criteria using the boolean selection 
  • Learn a more intuitive procedure for filtering data with the query method 
  • Select subsets of data from DataFrames with just the brackets, loc, and iloc 

Prerequisites

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

Who Should Attend

  • Anyone, who wants to learn about fundamental concepts of programming. 
  • Anyone, who wants to learn python programming language. 
  • Anyone, who wants to brush up on their programming and python skills. 

Curriculum

Explore the comprehensive, hands-on curriculum designed to build your expertise step by step.

Meet Your Expert Instructors

Theodore Petrou

Theodore Petrou

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*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.