Data Analysis in Python with pandas & matplotlib in Spyder from Coursera

Code and run your first Python script in minutes without installing anything!

This course is designed for learners with no coding experience, providing a crash course in Python, which enables the learners to delve into core data analysis topics that can be transferred to other languages. In this course, you will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests.

To allow for a truly hands-on, self-paced learning experience, this course is video-free.

Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours. Finally, a longer-form lab at the end of the course will provide you an opportunity to apply all learned concepts within a real-world context.

What's inside

Syllabus

Describing a Numerical Data Set

Importing and Describing Mixed Data Sets (pandas)

Statistical Tests to Determine if Populations are Different

Statistical Tests to Describe Relationships

Python Data Analysis Lab

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops a solid foundation in Python, which can enhance data analysis skills and is also applicable to other programming languages

Provides a practical, hands-on learning experience through runnable code examples and instant feedback

Suitable for beginners, with detailed explanations and approachable coding exercises

Emphasizes the importance of data organization and understanding, which is crucial for effective data analysis

Facilitates a deeper understanding by encouraging learners to explore code examples through suggested edits

Provides a capstone lab to apply learned concepts in a real-world context, consolidating theoretical knowledge and practical skills

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 Data Analysis in Python with pandas & matplotlib in Spyder with these activities:

Read a book about Python data analysis

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Reading a book about Python data analysis will provide you with a comprehensive overview of the subject and help you build a strong foundation.

View Python for Data Analysis on Amazon

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Find a book that is appropriate for your level of experience.
Read the book carefully and take notes.
Complete the exercises and projects in the book.

Gather resources and tools

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Gathering resources and tools will help you become more confident with the core concepts of the course.

Browse courses on Python

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Find and bookmark relevant articles, tutorials, and videos.
Create a list of useful Python libraries and packages.
Organize your resources into a folder or notebook.

Follow Python tutorials

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Following Python tutorials will help you learn the basics of the language and how to apply it to data analysis.

Browse courses on Python

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Find tutorials on topics such as data manipulation, visualization, and statistical analysis.
Follow the tutorials step-by-step and complete the exercises.
Experiment with the code and try to apply it to your own projects.

Five other activities

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Solve Python coding exercises

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Solving Python coding exercises will help you improve your understanding of the syntax and structure of the language.

Browse courses on Python

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Find online coding challenges or exercises.
Attempt to solve the exercises on your own.
Review the solutions and compare them to your own.

Analyze real-world datasets

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Analyzing real-world datasets will help you develop your data analysis skills and learn how to apply Python to solve real-world problems.

Browse courses on Python

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Find a publicly available dataset that interests you.
Load the dataset into Python and explore it using data analysis techniques.
Perform statistical tests to draw insights from the data.

Write a blog post or article about Python data analysis

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Writing a blog post or article about Python data analysis will help you solidify your understanding of the subject and share your knowledge with others.

Browse courses on Python

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Choose a topic that you are passionate about and that you have some experience in.
Research the topic and gather information from reliable sources.
Write a well-structured and engaging blog post or article.

Contribute to an open-source Python project

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Contributing to an open-source Python project will help you learn how to collaborate with others and contribute to the Python community.

Browse courses on Python

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Find an open-source Python project that interests you.
Contact the project maintainers and ask how you can contribute.
Make a pull request to the project with your contributions.

Build a Python project

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Building a Python project will help you apply your skills to a real-world problem and showcase your abilities to potential employers.

Browse courses on Python

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Identify a problem that you would like to solve using Python.
Design and develop a Python solution to the problem.
Deploy your project and share it with others.

Career center

Learners who complete Data Analysis in Python with pandas & matplotlib in Spyder will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists delve into data to extract meaningful insights by applying machine learning algorithms and statistical models. This course provides a foundation in data analysis with Python, which is a key skill for Data Scientists. You will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests.

See salaries and explore the career path for Data Scientist

Statistician

Statisticians apply mathematical and statistical techniques to collect, analyze, interpret, and present data. This course provides a foundation in data analysis with Python, which is a key skill for Statisticians. You will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests.

See salaries and explore the career path for Statistician

Market Researcher

Market Researchers study market conditions, trends, and consumer behavior. This course provides a foundation in data analysis with Python, which is a key skill for Market Researchers. You will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests.

See salaries and explore the career path for Market Researcher

Data Analyst

A Data Analyst may work with large data sets to gain actionable insights that can be used to make informed decisions. This course provides a hands-on introduction to data analysis with Python. You will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests. This course may also provide a foundation for roles such as a Data Scientist, Statistician, or Market Researcher.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts use data to analyze and improve business processes. This course provides a foundation in data analysis with Python, which is a key skill for Business Analysts. You will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial Analysts use data to analyze and make investment recommendations. This course provides a foundation in data analysis with Python, which is a key skill for Financial Analysts. You will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

Operations Research Analysts use data to analyze and improve business processes. This course provides a foundation in data analysis with Python, which is a key skill for Operations Research Analysts. You will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests.

See salaries and explore the career path for Operations Research Analyst

Risk Analyst

This course may be helpful for Risk Analysts who are interested in learning data analysis with Python. You will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests.

See salaries and explore the career path for Risk Analyst

Quantitative Analyst

This course may be helpful for Quantitative Analysts who are interested in learning data analysis with Python. You will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests.

See salaries and explore the career path for Quantitative Analyst

Actuary

This course may be helpful for Actuaries who are interested in learning data analysis with Python. You will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests.

See salaries and explore the career path for Actuary

Machine Learning Engineer

This course may be helpful for Machine Learning Engineers who are interested in learning data analysis with Python. You will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

This course may be helpful for Data Engineers who are interested in learning data analysis with Python. You will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests.

See salaries and explore the career path for Data Engineer

Database Administrator

This course may be helpful for Database Administrators who are interested in learning data analysis with Python. You will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests.

See salaries and explore the career path for Database Administrator

Web Developer

This course may be helpful for Web Developers who are interested in learning data analysis with Python. You will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests.

See salaries and explore the career path for Web Developer

Software Engineer

This course may be helpful for Software Engineers who are interested in learning data analysis with Python. You will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests.

See salaries and explore the career path for Software Engineer

Data Analysis in Python with pandas & matplotlib in Spyder

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