Up and Running with Pandas from Pluralsight

This course will teach you the fundamentals of the Pandas library in terms of data representation, processing and filtering to programmatically start working with complex datasets with ease and extreme convenience.

Pandas is a powerful library for data processing. In this course, Up and Running with Pandas, you’ll learn how to take advantage of the Pandas library to integrate data processing in your Python application.

First, you’ll explore how to fetch data from a medium and programmatically represent it as a data frame object as well as create your own data frame from scratch using standard tools for portability and simplicity, specifically, running it in a Jupyter notebook. Next, you’ll discover the different properties of a data frame to know your way around its various sections, observing all sorts of information from it.

Finally, you’ll learn how to do all sorts of operations against a data frame that are commonly used in most data processing scenarios such as getting statistical properties, performing arithmetic against the entire dataset and basic filtering.

When you’re finished with this course, you’ll have the skills and knowledge of the 'FREE' aspect of Pandas: fundamentals, representation, exploration, and evaluation.

What's inside

Syllabus

Course Overview

Introduction

Understanding Data Fundamentals with Pandas

Programmatically Representing Data with Pandas

Exploring and Evaluating Data with Pandas

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Examines core libraries in Python that enhance data wrangling

Provides hands-on experience to understand the versatility of Pandas library in representing, manipulating and visualizing data

Builds a strong foundation in core Pandas concepts and functionalities, which can be leveraged for various data-centric tasks

Learn from experienced instructors with professional expertise in the field of data science and Python programming

Requires basic proficiency in Python programming, which may pose a barrier for beginners

Assumes familiarity with data analysis concepts and practices, which may require additional learning for those new to the field

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Up and Running with Pandas with these activities:

Review previous Python programming basics

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Ensure a strong foundation in Python before starting the course, which can facilitate understanding of Pandas.

Browse courses on Python

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Revisit your lecture notes or online resources on Python basics.
Solve a few basic Python programming exercises.

Review 'Data Manipulation with Pandas: A Guide for Beginners' by Wes McKinney

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Gain practical knowledge of Pandas for data manipulation before starting the course.

View Python for Data Analysis: Data Wrangling with... on Amazon

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Read chapters 1-3 of the book to understand the basics of Pandas.
Go through the examples in the book to practice using Pandas functions.

Join a Pandas study group

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Connect with other students to discuss course material, ask questions, and reinforce your understanding.

Browse courses on Pandas

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Look for online forums or Discord servers dedicated to Pandas.
Join a study group and actively participate in discussions.

Five other activities

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Complete the 'Pandas Data Analysis for Beginners' tutorial on DataCamp

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Enhance your understanding of Pandas operations and techniques through interactive exercises.

Browse courses on Pandas

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Sign up for a DataCamp account.
Enroll in the 'Pandas Data Analysis for Beginners' tutorial.
Complete all the exercises and quizzes in the tutorial.

Solve 50 Pandas problems on LeetCode

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Solidify your Pandas skills by solving a variety of coding challenges.

Browse courses on Pandas

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Create a LeetCode account.
Search for 'Pandas' problems.
Solve at least 50 problems.

Create a data visualization using Pandas and Plotly

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Apply your Pandas skills to create a visually appealing representation of data, improving your understanding of Pandas and data visualization techniques.

Browse courses on Pandas

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Choose a dataset and import it into a Pandas DataFrame.
Clean and manipulate the data using Pandas functions.
Create a visualization using Plotly.

Answer questions on online forums related to Pandas

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Reinforce your understanding by helping others and solidifying your knowledge about Pandas.

Browse courses on Pandas

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Identify online forums where people ask questions about Pandas.
Actively answer questions and provide helpful explanations.

Start a personal project using Pandas to analyze real-world data

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Apply your Pandas skills to a practical project, allowing you to explore real-world applications and deepen your understanding.

Browse courses on Pandas

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Identify a dataset that interests you.
Import the dataset into a Pandas DataFrame.
Analyze the data using Pandas functions and techniques.
Create visualizations to present your findings.

Career center

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

Machine Learning Researcher

Machine Learning Researchers use big data technologies like Pandas to develop new machine learning algorithms and models. This course, Up and Running with Pandas, will help you get started with Pandas and show you how to use it to work with complex datasets.

See salaries and explore the career path for Machine Learning Researcher

Data Visualization Specialist

Data Visualization Specialists use big data technologies like Pandas to create visualizations that communicate data insights. This course, Up and Running with Pandas, will help you get started with Pandas and show you how to use it to work with complex datasets.

See salaries and explore the career path for Data Visualization Specialist

Data Miner

Data Miners use big data technologies like Pandas to extract knowledge and insights from data. This course, Up and Running with Pandas, will help you get started with Pandas and show you how to use it to work with complex datasets.

See salaries and explore the career path for Data Miner

Database Administrator

Database Administrators design, implement, and maintain databases. Pandas is a popular big data library in Python. This course, Up and Running with Pandas, will help you get started with Pandas and show you how to use it to work with complex datasets.

See salaries and explore the career path for Database Administrator

Research Analyst

Research Analysts use data to make recommendations and inform decisions. Pandas is a popular big data library in Python. This course, Up and Running with Pandas, will help you get started with Pandas and show you how to use it to work with complex datasets.

See salaries and explore the career path for Research Analyst

Software Engineer

Software Engineers design, develop, and maintain software systems. Pandas is a popular big data library in Python. This course, Up and Running with Pandas, will help you get started with Pandas and show you how to use it to work with complex datasets.

See salaries and explore the career path for Software Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze data and make investment decisions. This course, Up and Running with Pandas, will help you get started on your journey to becoming a Quantitative Analyst, by teaching you how to programmatically fetch, represent, explore, and evaluate data.

See salaries and explore the career path for Quantitative Analyst

Data Engineer

Data Engineers build and maintain the infrastructure that allows data scientists to work with big data. This course, Up and Running with Pandas, will help you get started on your journey to becoming a Data Engineer by teaching you how to programmatically fetch, represent, explore, and evaluate data.

See salaries and explore the career path for Data Engineer

Financial Analyst

Financial Analysts use data to make investment decisions. Using big data technologies like Pandas, they provide insights to companies. This course, Up and Running with Pandas, may help you get started on your journey to becoming a Financial Analyst by helping you to build a foundation for working with complex datasets.

See salaries and explore the career path for Financial Analyst

Machine Learning Engineer

Machine Learning Engineers use Machine Learning and big data technologies like Pandas to create and maintain artificial intelligence programs. This course, Up and Running with Pandas, may help you get started on your journey to becoming a Machine Learning Engineer by helping you to build a foundation for working with complex datasets.

See salaries and explore the career path for Machine Learning Engineer

Business Analyst

Business Analysts use data to solve business problems. Using big data technologies like Pandas, they provide insights to companies. This course, Up and Running with Pandas, may help you get started on your journey to becoming a Business Analyst by helping you to build a foundation for working with complex datasets.

See salaries and explore the career path for Business Analyst

Statistician

Statisticians collect, analyze, interpret, and present data. Using big data technologies like Pandas, they provide insights to companies. This course, Up and Running with Pandas, may help you get started on your journey to becoming a Statistician by helping you to build a foundation for working with complex datasets.

See salaries and explore the career path for Statistician

Data Analyst

Data Analysts collect, analyze, interpret, and present data. Using big data technologies like Pandas, Data Analysts provide insights to companies. This course, Up and Running with Pandas, may help you get started on your journey to becoming a Data Analyst by helping you to build a foundation for working with complex datasets.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. This course, Up and Running with Pandas, may help you get started on your journey to becoming a Data Scientist by helping you to build a foundation for working with complex datasets.

See salaries and explore the career path for Data Scientist

Actuary

Actuaries use data to assess risk and uncertainty. Using big data technologies like Pandas, they provide insights to companies. This course, Up and Running with Pandas, may help you get started on your journey to becoming an Actuary by helping you to build a foundation for working with complex datasets.

See salaries and explore the career path for Actuary