Index Objects with Pandas from Pluralsight

In this course, you’ll learn how to use Pandas index objects for advanced data analysis. You'll learn how to create and use numerical, interval, period, categorical, date-time, time-delta, and multi-indexing in Pandas to retrieve and manipulate data.

To build any business solution using data, the first step that you need to perform is data analysis. Pandas is a Python library that has numerous functionalities to simplify data analysis. Pandas Index objects offer some of these advanced functionalities to make data analysis easier.

In this course, Index Objects with Pandas, you’ll learn how to use Pandas index objects for advanced data analysis. First, you'll learn the basics of data-frames and various indexing strategies in Pandas. Next, you'll discover how to create and use numerical, interval, period, and categorical indexing in Pandas to retrieve data from a data-frame. Then, you'll see how to use date-time and time-delta indexing to extract and manipulate time-series data. Finally, you'll dive into how to use multi-indexing in Pandas to organize data hierarchically.

What's inside

Syllabus

Course Overview

Introduction to Indexing Objects in Pandas

Pandas Index Objects for Time Series Data

Interval, Categorical, and Period Indexing in Pandas

Multi-indexing in Pandas

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores advanced functionalities of Pandas Index objects for data analysis, which is standard in data science

Taught by Biswanath Halder, who is an recognized instructor in data science

Suitable for learners with background knowledge in Pandas and data analysis

Covers essential concepts and techniques for advanced data analysis with Pandas Index objects

Provides a strong foundation for learners looking to enhance their data analysis skills

Career center

Learners who complete Index Objects with Pandas will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts use their knowledge of data analysis tools and techniques to transform raw data into insights for businesses. This course, Index Objects with Pandas, can help you develop the skills needed to succeed as a Data Analyst. You'll learn how to use Pandas index objects to retrieve and manipulate data from dataframes, which is essential for data analysis. Additionally, you'll learn how to use date-time and time-delta indexing to extract and manipulate time-series data, which is a common task for Data Analysts.

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Data Engineer

Data Engineers design, build, and maintain the infrastructure that stores and processes data for businesses. This course, Index Objects with Pandas, can help you develop the skills needed to succeed as a Data Engineer. You'll learn how to use Pandas index objects to efficiently retrieve and manipulate data from dataframes, which is a common task for Data Engineers. Additionally, you'll learn how to use date-time and time-delta indexing to extract and manipulate time-series data, which is often stored in data warehouses.

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Business Analyst

Business Analysts use data analysis to help businesses make better decisions. This course, Index Objects with Pandas, can help you develop the skills needed to succeed as a Business Analyst. You'll learn how to use Pandas index objects to retrieve and manipulate data from dataframes, which is essential for data analysis. Additionally, you'll learn how to use date-time and time-delta indexing to extract and manipulate time-series data, which is often used to track business performance.

See salaries and explore the career path for Business Analyst

Data Scientist

Data Scientists use data analysis to build predictive models and solve business problems. This course, Index Objects with Pandas, can help you develop the skills needed to succeed as a Data Scientist. You'll learn how to use Pandas index objects to retrieve and manipulate data from dataframes, which is essential for data analysis. Additionally, you'll learn how to use date-time and time-delta indexing to extract and manipulate time-series data, which is often used to build predictive models.

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Statistician

Statisticians use data analysis to draw conclusions about the world around us. This course, Index Objects with Pandas, can help you develop the skills needed to succeed as a Statistician. You'll learn how to use Pandas index objects to retrieve and manipulate data from dataframes, which is essential for data analysis. Additionally, you'll learn how to use date-time and time-delta indexing to extract and manipulate time-series data, which is often used to study trends and patterns.

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Financial Analyst

Financial Analysts use data analysis to help businesses make investment decisions. This course, Index Objects with Pandas, can help you develop the skills needed to succeed as a Financial Analyst. You'll learn how to use Pandas index objects to retrieve and manipulate data from dataframes, which is essential for data analysis. Additionally, you'll learn how to use date-time and time-delta indexing to extract and manipulate time-series data, which is often used to track financial performance.

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Market Research Analyst

Market Research Analysts use data analysis to help businesses understand their customers and make marketing decisions. This course, Index Objects with Pandas, can help you develop the skills needed to succeed as a Market Research Analyst. You'll learn how to use Pandas index objects to retrieve and manipulate data from dataframes, which is essential for data analysis. Additionally, you'll learn how to use date-time and time-delta indexing to extract and manipulate time-series data, which is often used to track marketing campaigns.

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Operations Research Analyst

Operations Research Analysts use data analysis to help businesses improve their operations. This course, Index Objects with Pandas, can help you develop the skills needed to succeed as an Operations Research Analyst. You'll learn how to use Pandas index objects to retrieve and manipulate data from dataframes, which is essential for data analysis. Additionally, you'll learn how to use date-time and time-delta indexing to extract and manipulate time-series data, which is often used to track operational performance.

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Software Engineer

Software Engineers design, build, and maintain software applications. This course, Index Objects with Pandas, may be useful for Software Engineers who want to develop data analysis applications. You'll learn how to use Pandas index objects to retrieve and manipulate data from dataframes, which is essential for data analysis. Additionally, you'll learn how to use date-time and time-delta indexing to extract and manipulate time-series data, which is often used in data analysis applications.

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Web Developer

Web Developers design and build websites. This course, Index Objects with Pandas, may be useful for Web Developers who want to develop data-driven websites. You'll learn how to use Pandas index objects to retrieve and manipulate data from dataframes, which is essential for data analysis. Additionally, you'll learn how to use date-time and time-delta indexing to extract and manipulate time-series data, which is often used to track website traffic.

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Data Visualization Analyst

Data Visualization Analysts use data analysis to create visualizations that communicate insights to stakeholders. This course, Index Objects with Pandas, may be useful for Data Visualization Analysts who want to develop more effective visualizations. You'll learn how to use Pandas index objects to retrieve and manipulate data from dataframes, which is essential for data analysis. Additionally, you'll learn how to use date-time and time-delta indexing to extract and manipulate time-series data, which is often used to create time-series visualizations.

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Database Administrator

Database Administrators design, build, and maintain databases. This course, Index Objects with Pandas, may be useful for Database Administrators who want to develop data analysis applications. You'll learn how to use Pandas index objects to retrieve and manipulate data from dataframes, which is essential for data analysis. Additionally, you'll learn how to use date-time and time-delta indexing to extract and manipulate time-series data, which is often stored in databases.

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Actuary

Actuaries use data analysis to assess risk and uncertainty. This course, Index Objects with Pandas, may be useful for Actuaries who want to develop more sophisticated risk models. You'll learn how to use Pandas index objects to retrieve and manipulate data from dataframes, which is essential for data analysis. Additionally, you'll learn how to use date-time and time-delta indexing to extract and manipulate time-series data, which is often used to model risk over time.

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Epidemiologist

Epidemiologists use data analysis to investigate the causes and distribution of disease. This course, Index Objects with Pandas, may be useful for Epidemiologists who want to develop more effective disease surveillance systems. You'll learn how to use Pandas index objects to retrieve and manipulate data from dataframes, which is essential for data analysis. Additionally, you'll learn how to use date-time and time-delta indexing to extract and manipulate time-series data, which is often used to track the spread of disease.

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Health Data Analyst

Health Data Analysts use data analysis to improve the quality and efficiency of healthcare delivery. This course, Index Objects with Pandas, may be useful for Health Data Analysts who want to develop more effective healthcare data analysis applications. You'll learn how to use Pandas index objects to retrieve and manipulate data from dataframes, which is essential for data analysis. Additionally, you'll learn how to use date-time and time-delta indexing to extract and manipulate time-series data, which is often used to track patient outcomes over time.

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Index Objects with Pandas

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