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Python Data Analysis

This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data.

By the end of the course, you will be comfortable working with tabular data in Python. This will extend your Python programming expertise, enabling you to write a wider range of scripts using Python.

This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course uses basic desktop Python development environments, allowing you to run Python programs directly on your computer.

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What's inside

Syllabus

Dictionaries

This module will teach you about Python's dictionary data type and its capabilities. Dictionaries are used to map keys to values within programs.

Tabular Data and Nested Data Structures

This module will teach you about storing tabular data within Python programs using lists and dictionaries.

Tabular Data and CSV Files

This module will teach you the basics of CSV files and how to read them from Python programs. We will discuss the use of Python's csv module to help you access tabular data in CSV files.

Organizing Data

This module will teach you how to sort data in Python. You will organize and analyze tabular data.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers Python 3, which is the future of Python

Examines working with tabular data, which is common in industry

Teaches dictionaries, tabular data, and CSV files, which are core to Python programming

Develops Python programming expertise, which is useful in a variety of settings

Strengthens existing foundations in Python programming

Taught by Scott Rixner and Joe Warren, who are recognized for their work in Python

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Reviews summary

Helpful python data analysis resource

Learners say that this course provides great learning and is particularly good for beginners. It helps learners practice writing and reading CSV files and develop their data analysis skills in Python. There are many exercises that enable learners to build a strong understanding of the concepts. The course is found to be challenging but worthwhile, and learners appreciate the support from the instructors and the active discussion forums. The final project is often mentioned as being complex and time-consuming, but overall, learners recommend this course.

Suitable for beginners in Python data analysis

"Great class. It might not be perfect for beginners, but good for someone who has had one semester in Python programming"

"I am a 17 year old high school student and want to be a data scientist one day. This course really helped me develop my python knowledge"

"If anyone likes to learn more about python, I would say this is the course you should take"

Focuses on reading and writing CSV files in Python

"This course is so great. The baseball project is very interesting"

"This module is very good for learning about reading/writing of CSV file and making use of lists or dictionaries to store contents of the CSV files"

"this course is very helpful to me to increase my coding skills on data analysis and the facuilty are very knowledgable and willing to share their knowledge"

Instructors are awesome and helpful

"Instructors are awesome and very helpful"

"the instructors way of teaching is quite attractive and interactive"

"Many thanks for the two amazing Professors"

Many helpful assignments to reinforce concepts

"need more practice exercises, but very good course overall"

"Assignments get tough for a beginner like me. But that is exactly what is required to learn the material"

"The assignments in this course teach you to learn very much due to difficulty level"

The complex final project requires a lot of practice

"This course requires a lot of practice to be able to solve the project"

"The final project was demanding not due to programming, but due to the idea of "code refactoring" and unclear dependencies on csv files"

"Final project is way more difficult than what they explain in the course"

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 Python Data Analysis with these activities:

Review Python Basics Before Starting the Course

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If you have some experience with Python, this activity will help you brush up on the basics before starting the course.

Browse courses on Python Basics

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Review the Python documentation.
Take a Python practice test.
Complete a few Python coding exercises.

Follow a Python Tutorial Series

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Following a tutorial series can help you learn the basics of Python and get up to speed quickly.

Browse courses on Python

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Choose a tutorial series that is appropriate for your skill level.
Follow the tutorials in the series and complete the exercises.
Create a small Python program that you can use to solve a problem in your life.

Create a Python Study Guide

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Creating a study guide can help you organize your notes and prepare for the course.

Browse courses on Python Programming

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Compile notes from the class lectures.
Review the Python documentation and add any important information to your notes.
Organize your notes into a logical format.

Five other activities

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Read Introduction to Python Programming

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This book provides a quick and easy way to learn the basics of Python without having to know anything about programming.

View Introduction to Computation and Programming... on Amazon

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Read Chapters 1-3.
Complete the exercises at the end of each chapter.
Create a small Python program that you can use to solve a problem in your life.

Join a Python Study Group

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Joining a study group can help you stay motivated and learn from others.

Browse courses on Python Programming

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Find a study group that meets regularly.
Attend the study group meetings.
Participate in discussions and ask questions.

Practice Python Coding Exercises

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Practice is key to learning Python. These exercises can help you master the basics and improve your skills.

Browse courses on Python Coding

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Find a set of Python coding exercises (such as those on LeetCode).
Attempt to solve the exercises on your own.
Review the solutions to the exercises to see how you can improve your approach.

Write a Blog Post or Article on Python

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Writing about what you learn is a great way to reinforce your understanding and share your knowledge with others.

Browse courses on Python Programming

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Choose a topic that you are familiar with.
Research the topic to make sure you have a good understanding of it.
Write a blog post or article that explains the topic in a clear and concise way.

Contribute to an Open Source Python Project

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Contributing to open source projects can help you learn how to work with others and make a real-world impact.

Browse courses on Python Programming

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Find an open source Python project that you are interested in.
Read the project documentation and start contributing to the project.
Submit pull requests to the project and work with others to improve the project.

Career center

Learners who complete Python Data Analysis will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts use their programming skills to analyze data. They often must read and understand large amounts of tabular data, and reshape the data into different formats. This course teaches the basics of working with tabular data in Python, which is one of the most popular programming languages for data analysis. This course will teach you how to overcome obstacles that can occur while trying to read, store, and process tabular data, which will make you a more effective Data Analyst.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts often partner with Data Analysts. Both roles collect and analyze data, but Business Analysts typically focus on the business side of data from a high level. This course provides a foundation in working with tabular data, which will be useful to a Business Analyst who wants to understand data in more detail.

See salaries and explore the career path for Business Analyst

Data Scientist

Data Scientists are similar to Data Analysts, but they typically deal with much more complex problems and are often expected to build predictive models. This course is a useful introduction to reading and writing tabular data in Python, which are important skills for Data Scientists.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers develop and maintain software products. While Software Engineers do not typically analyze data in the same way as Data Analysts or Data Scientists, they do often need to work with tabular data. This course can help you build a foundation in working with tabular data in Python, which is a valuable skill for Software Engineers.

See salaries and explore the career path for Software Engineer

Product Manager

Product Managers are responsible for the development and success of products. This course can be helpful in building a foundation in working with tabular data in Python, which can be useful for Product Managers who analyze large amounts of data.

See salaries and explore the career path for Product Manager

Data Engineer

Data Engineers build and maintain the infrastructure that allows Data Analysts and Data Scientists to do their jobs. This course can be helpful in building a foundation in working with tabular data in Python.

See salaries and explore the career path for Data Engineer

Actuary

Actuaries use mathematical and statistical methods to assess risk in the insurance and finance industries. This course can help you build a foundation in working with tabular data in Python, which is a valuable skill for Actuaries.

See salaries and explore the career path for Actuary

Epidemiologist

Epidemiologists investigate the causes of disease and other health problems in populations. This course can be helpful in building a foundation in working with tabular data in Python, which can be useful for Epidemiologists who analyze large amounts of data.

See salaries and explore the career path for Epidemiologist

Biostatistician

Biostatisticians apply statistical methods to data in the biological sciences. This course can be helpful in building a foundation in working with tabular data in Python, which can be useful for Biostatisticians who analyze large amounts of data.

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UX Researcher

UX Researchers study how users interact with products and services. This course can be helpful in building a foundation in working with tabular data in Python, which can be useful for UX Researchers who analyze large amounts of data.

See salaries and explore the career path for UX Researcher

Market Researcher

Market Researchers collect and analyze data about consumers and markets. This course can be helpful in building a foundation in working with tabular data in Python, which can be useful for Market Researchers who analyze large amounts of data.

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Data Journalist

Data Journalists use data to tell stories. This course can be helpful in building a foundation in working with tabular data in Python, which can be useful for Data Journalists who analyze large amounts of data.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical methods to solve problems in a variety of industries. This course can help you build a foundation in working with tabular data in Python, which is a useful skill for Operations Research Analysts.

See salaries and explore the career path for Operations Research Analyst

Statistician

Statisticians use mathematical and statistical methods to collect, analyze, interpret, and present data. This course can help you build a foundation in working with tabular data in Python, which is useful for Statisticians.

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Financial Analyst

Financial Analysts analyze financial data to make investment recommendations. This course can be helpful in building a foundation in working with tabular data in Python, which is useful for reading and analyzing financial data.

See salaries and explore the career path for Financial Analyst

Reading list

We've selected 18 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 Python Data Analysis.

Python for Data Analysis

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Provides a comprehensive overview of data analysis in Python, covering topics such as data cleaning, exploration, and visualization. It valuable resource for anyone looking to learn more about data analysis in Python.

Python Data Analysis

What's inside

Syllabus

Good to know

Save this course

Reviews summary

Helpful python data analysis resource

Activities

Career center

Reading list

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