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Advanced Pandas

Learn to handle complex data-sets and analyze your data in a principled way with Pandas. This course will teach you advanced parts of this library, including handling higher-dimensional data, time series, window operations, joins, and plotting.

At the core of practicing effective data science is a thorough knowledge of data analysis tools, and among them, Pandas is one of the most popular. In this course, Advanced Pandas, you will learn the skills you need to perform data analysis that is effective and full of useful insights. First, you will learn how to prepare your dataset for a smoother experience. Next, you will discover how to perform database-style joins, work with higher-dimensional data, analyze time series, and apply window operations. Finally, you will explore how to present the data by generating informative and appealing plots. When you’re finished with this course, you will have an advanced understanding of the Pandas library and the knowledge that will help you as you move forward and grow as a professional data scientist or analyst.

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Pandas Data Analysis Data Manipulation Time Series Analysis Data Visualization

What's inside

Syllabus

Course Overview

Overview

Preparing Your Dataset

Joining Multiple Data Tables

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Meant for practitioners who analyze data and derive insights from it, such as data scientists and analysts

Taught by Paweł Kordek, who is an experienced data scientist and educator

Includes practical elements, such as window operations and data plotting, that are highly relevant in the field

Develops advanced skills in Pandas, which is a popular and widely used data analysis library

Covers higher-dimensional data, time series, and database-style joins, which are essential concepts for data analysis

Requires learners to have a strong foundation in data analysis and Pandas library

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Reviews summary

Advanced pandas for data professionals

According to learners, this course is a highly valuable resource for those seeking to deepen their understanding of advanced Pandas functionalities. Many found it immediately applicable to professional work, particularly appreciating sections on time series, window operations, multi-level indexing, and joins. The hands-on exercises and real-world examples are consistently highlighted as a major strength, providing crucial practical experience. However, a minority of students noted that the pacing can be fast and that the course assumes a solid intermediate Pandas foundation, which could be a challenge for those with less prior experience.

Content remains relevant despite minor suggestions for updates.

"Overall, a very solid course for advanced Pandas. ... Good practical examples."

"I've been using Pandas for a while, but this course showed me so many advanced techniques I wasn't aware of."

"Some parts of the course material could benefit from an update, but the core concepts are timeless and well-delivered."

Provides crucial practical experience through engaging exercises.

"The hands-on exercises were challenging but crucial for solidifying concepts. Highly recommend for anyone looking to go beyond basic Pandas."

"I appreciated the practical exercises. ... the core concepts are timeless and well-delivered."

"The hands-on activities really drive the learning home. The time series module alone was worth the price."

Excellent for applying advanced Pandas in real-world scenarios.

"The sections on time series and window operations were particularly well-explained and immediately applicable to my work."

"An absolute gem for data professionals! ... The real-world scenarios were incredibly helpful. It felt like a true 'advanced' course."

"As a data analyst, this course was exactly what I needed to level up my Pandas skills. The examples were very relevant to real-world data cleaning and analysis."

Some topics are fast-paced; certain sections could offer more depth.

"The course covers advanced topics as promised, but I found some parts a bit rushed, especially the plotting section. It felt like an overview rather than a deep dive."

"Good course, though perhaps a bit too fast-paced for some sections."

"My only minor gripe is that some of the initial setup in the labs could be smoother, but once you get past that, the content is excellent."

Requires a solid intermediate Pandas background to thrive.

"I struggled with this course. While it's called 'Advanced Pandas', the prerequisites weren't clear enough. It assumes a higher prior knowledge than I had."

"If you're completely new to advanced concepts, you might need to supplement with other resources. Good for a quick refresh, maybe less for a beginner in advanced Pandas."

"The explanations were sometimes hard to follow without a very strong foundation in Pandas basics."

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 Advanced Pandas with these activities:

Review Python syntax and data structures

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Refreshing your Python skills will ensure that you have a strong foundation for applying Pandas effectively.

Browse courses on Python

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Go through online tutorials or documentation to review Python syntax and data structures.
Practice writing simple Python code to reinforce your understanding.

Join a study group or discussion forum for Pandas

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Joining a study group or discussion forum allows you to connect with other learners and engage in discussions about Pandas.

Browse courses on Pandas

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Find a study group or discussion forum that aligns with your interests.
Participate actively in discussions and ask questions.
Help other members of the group by sharing your knowledge and experience.

Follow a tutorial on time series analysis with Pandas

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Following a tutorial on time series analysis will provide you with the necessary skills to handle and analyze time-based data.

Browse courses on Pandas

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Find a well-regarded tutorial on time series analysis with Pandas.
Follow the tutorial step-by-step and practice the examples provided.
Try to apply what you've learned to your own time series data.

Four other activities

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Start a project in Python using Pandas

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Creating a project that focuses on using Pandas will help you familiarize yourself with its functionalities and their applications.

Browse courses on Python

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Decide on a project idea that you'd like to work on.
Collect the data that you need for your project.
Create a Jupyter Notebook or a Python script to start working on your project.

Read 'Python for Data Analysis' by Wes McKinney

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This book provides a comprehensive overview of Pandas and its applications in data analysis, helping you deepen your understanding and expand your skills.

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

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Read through the chapters relevant to Pandas and data analysis.
Work through the exercises and examples provided in the book to practice using Pandas.
Refer back to specific sections of the book as needed to reinforce your understanding or refresh your memory.

Practice using Pandas window operations

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Practicing window operations in Pandas will help you master essential data manipulation techniques.

Browse courses on Pandas

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Start by creating a DataFrame with sample data.
Use the 'rolling' or 'expanding' functions to apply window operations to your DataFrame.
Experiment with different window sizes and aggregation functions to observe the effects on your data.

Create a data visualization using Pandas

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Creating a data visualization will help you present your data in a clear and visually appealing way, enhancing its impact and understanding.

Browse courses on Pandas

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Choose a dataset that you want to visualize.
Use Pandas to clean and prepare your data for visualization.
Select appropriate charts or graphs to represent your data effectively.
Customize the visualization to make it visually appealing and informative.

Career center

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

Data Analyst

Data Analysts model, analyze, and interpret data in order to extract useful and actionable insights that can help organizations make informed business decisions. The Advanced Pandas course can help aspiring Data Analysts develop the skills needed to succeed in this role, as it teaches how to perform data analysis on complex datasets, including handling time series, applying window operations, and generating informative plots. This course may be particularly relevant for Data Analysts who work with large and complex datasets and need advanced data analysis techniques to uncover meaningful insights.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use their knowledge of mathematics, statistics, and computer science to extract insights from data, build models, and make predictions. The Advanced Pandas course can help aspiring Data Scientists develop the skills needed to succeed in this role, as it teaches how to perform data analysis on complex datasets, including handling time series, applying window operations, and generating informative plots. This course may be particularly relevant for Data Scientists who work with large and complex datasets and need advanced data analysis techniques to build accurate and effective models.

See salaries and explore the career path for Data Scientist

Statistician

Statisticians collect, analyze, interpret, and present data to help organizations make informed decisions. The Advanced Pandas course can help aspiring Statisticians develop the skills needed to succeed in this role, as it teaches how to perform data analysis on complex datasets, including handling time series, applying window operations, and generating informative plots. This course may be particularly relevant for Statisticians who work with large and complex datasets and need advanced data analysis techniques to uncover meaningful insights.

See salaries and explore the career path for Statistician

Business Analyst

Business Analysts use data analysis techniques to identify and solve business problems. The Advanced Pandas course can help aspiring Business Analysts develop the skills needed to succeed in this role, as it teaches how to perform data analysis on complex datasets, including handling time series, applying window operations, and generating informative plots. This course may be particularly relevant for Business Analysts who work with large and complex datasets and need advanced data analysis techniques to develop effective business solutions.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial Analysts use data analysis techniques to evaluate investments and make recommendations to clients. The Advanced Pandas course can help aspiring Financial Analysts develop the skills needed to succeed in this role, as it teaches how to perform data analysis on complex datasets, including handling time series, applying window operations, and generating informative plots. This course may be particularly relevant for Financial Analysts who work with large and complex datasets and need advanced data analysis techniques to make sound investment decisions.

See salaries and explore the career path for Financial Analyst

Market Analyst

Market Analysts use data analysis techniques to identify trends and opportunities in the market. The Advanced Pandas course can help aspiring Market Analysts develop the skills needed to succeed in this role, as it teaches how to perform data analysis on complex datasets, including handling time series, applying window operations, and generating informative plots. This course may be particularly relevant for Market Analysts who work with large and complex datasets and need advanced data analysis techniques to make accurate market forecasts.

See salaries and explore the career path for Market Analyst

Biostatistician

Biostatisticians use statistical methods to design and analyze studies, interpret data, and make inferences about the health of populations. The Advanced Pandas course can help aspiring Biostatisticians develop the skills needed to succeed in this role, as it teaches how to perform data analysis on complex datasets, including handling time series, applying window operations, and generating informative plots. This course may be particularly relevant for Biostatisticians who work with large and complex datasets and need advanced data analysis techniques to conduct rigorous research.

See salaries and explore the career path for Biostatistician

Epidemiologist

Epidemiologists investigate the causes and patterns of disease in populations. The Advanced Pandas course can help aspiring Epidemiologists develop the skills needed to succeed in this role, as it teaches how to perform data analysis on complex datasets, including handling time series, applying window operations, and generating informative plots. This course may be particularly relevant for Epidemiologists who work with large and complex datasets and need advanced data analysis techniques to identify and track disease outbreaks.

See salaries and explore the career path for Epidemiologist

Actuary

Actuaries use mathematical and statistical methods to assess risk and uncertainty. The Advanced Pandas course can help aspiring Actuaries develop the skills needed to succeed in this role, as it teaches how to perform data analysis on complex datasets, including handling time series, applying window operations, and generating informative plots. This course may be particularly relevant for Actuaries who work with large and complex datasets and need advanced data analysis techniques to develop accurate risk models.

See salaries and explore the career path for Actuary

Software Engineer

Software Engineers design, develop, and maintain software applications. The Advanced Pandas course may be useful for aspiring Software Engineers who want to develop skills in data analysis and data handling. The course teaches how to perform data analysis on complex datasets, including handling time series, applying window operations, and generating informative plots. This knowledge can be beneficial for Software Engineers who work on projects that involve data analysis or data visualization.

See salaries and explore the career path for Software Engineer

Data Engineer

Data Engineers design, build, and maintain data pipelines and infrastructure. The Advanced Pandas course may be useful for aspiring Data Engineers who want to develop skills in data analysis and data handling. The course teaches how to perform data analysis on complex datasets, including handling time series, applying window operations, and generating informative plots. This knowledge can be beneficial for Data Engineers who work on projects that involve data analysis or data visualization.

See salaries and explore the career path for Data Engineer

Database Administrator

Database Administrators design, implement, and maintain databases. The Advanced Pandas course may be useful for aspiring Database Administrators who want to develop skills in data analysis and data handling. The course teaches how to perform data analysis on complex datasets, including handling time series, applying window operations, and generating informative plots. This knowledge can be beneficial for Database Administrators who work on projects that involve data analysis or data visualization.

See salaries and explore the career path for Database Administrator

Quantitative Analyst

Quantitative Analysts use mathematical and statistical methods to analyze financial data and make investment decisions. The Advanced Pandas course may be useful for aspiring Quantitative Analysts who want to develop skills in data analysis and data handling. The course teaches how to perform data analysis on complex datasets, including handling time series, applying window operations, and generating informative plots. This knowledge can be beneficial for Quantitative Analysts who work on projects that involve data analysis or data visualization.

See salaries and explore the career path for Quantitative Analyst

Risk Analyst

Risk Analysts identify, assess, and manage risks. The Advanced Pandas course may be useful for aspiring Risk Analysts who want to develop skills in data analysis and data handling. The course teaches how to perform data analysis on complex datasets, including handling time series, applying window operations, and generating informative plots. This knowledge can be beneficial for Risk Analysts who work on projects that involve data analysis or data visualization.

See salaries and explore the career path for Risk Analyst

Fraud Analyst

Fraud Analysts investigate and prevent fraud. The Advanced Pandas course may be useful for aspiring Fraud Analysts who want to develop skills in data analysis and data handling. The course teaches how to perform data analysis on complex datasets, including handling time series, applying window operations, and generating informative plots. This knowledge can be beneficial for Fraud Analysts who work on projects that involve data analysis or data visualization.

See salaries and explore the career path for Fraud Analyst

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Advanced Pandas.

Python for Data Analysis

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Is the definitive reference for Pandas, written by its creator. It provides a comprehensive guide to all aspects of using Pandas, from basic data manipulation to advanced techniques.

Python for Data Analysis: Data Wrangling with...

Paperback

Python for Data Analysis

Kindle Edition

Python for Data Analysis: Data Wrangling with...

Paperback

$$$

Python para análisis de datos

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Este libro es la referencia definitiva para Pandas, escrita por su creador. Proporciona una guía completa de todos los aspectos del uso de Pandas, desde la manipulación básica de datos hasta técnicas avanzadas.

(Español) Python para análisis de datos

Paperback

$$$

(Español) Python para análisis de datos (TÍTULOS ESPECIALES)...

Kindle Edition

Pandas for Everyone

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Este libro proporciona una descripción general completa de Pandas, que cubre sus funciones principales y técnicas avanzadas, incluida la limpieza de datos, la manipulación, la visualización y el análisis estadístico.

Pandas for Everyone: Python Data Analysis (Addison...

Paperback

Pandas for Everyone: Python Data Analysis (Addison...

Paperback

Pandas for Everyone: Python Data Analysis (Addison...

Kindle Edition

Pandas for Everyone: Python Data Analysis (Addison...

Kindle Edition

Python Data Analysis

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Provides a comprehensive overview of Pandas and its applications to data analysis.

Python Data Analysis - Third Edition: Perform data...

Paperback

Python Data Analysis: Perform data collection, data...

Kindle Edition

Pandas in Action

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Provides a practical guide to using Pandas for data science.

Mastering Time Series Analysis and Forecasting with...

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Provides a comprehensive guide to time series analysis using Pandas. It covers topics such as data cleaning, manipulation, visualization, and forecasting.

Mastering Time Series Analysis and Forecasting with...

Paperback

Mastering Time Series Analysis and Forecasting with...

Kindle Edition