Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Python: A Guided Journey from Introduction to Application Specialization

Python: A Guided Journey from Introduction to Application Specialization

Learn the basics of Python Programming. Implement solutions to real-world problems using Python

Instructors: Steven Osburn

Included with Coursera Plus

Learn more

4 course series

Get in-depth knowledge of a subject

3.9

(41 reviews)

Beginner level

Recommended experience

1 month at 10 hours a week

Flexible schedule

Earn a career credential

Share your expertise with employers

4 course series

Get in-depth knowledge of a subject

3.9

(41 reviews)

Beginner level

Recommended experience

1 month at 10 hours a week

Flexible schedule

Earn a career credential

Share your expertise with employers

What you'll learn

Students will master the basic skills of coding in python and will be able to understand the syntax.
Students will get an introduction to Data Science material and learn how to perform data analysis and visualization using python.
Students will understand why object oriented programming is used and how to create a graphical user interface.
Students will apply their gained python skills to the field of Machine Learning, where they will get to build their own classifiers and prediction models.

Overview

In today’s society, uses for new technologies are broadening in scope and revolutionizing the world. Many new technologies automate redundant tasks so people may complete tasks of greater priority. These new automated technologies depend on the constant innovation of software. To develop software that can increase our efficiency and change the world for the better, it is vital to understand how to code using different programming languages. This specialization introduces the basics of the Python programming language and teaches how to implement solutions to real-world problems using Python syntax. Topics in this course range from utilizing integrated development environments (IDEs) to implementing Python syntax in scripts. Some of the position titles that may benefit from this course are computer scientist, computer engineer, software engineer, software developer, software tester, electrical engineer, mechanical engineer, chemical engineer and aerospace engineer.

You do not need programming or computer science experience to learn the material in this course. This course is open to anyone who is interested in learning how to code and write programs in Python. We are very excited that you will be learning with us and hope you enjoy the course!

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English

35 practice exercises

Specialization - 4 course series

In each of these courses, you will complete coding problems that will strengthen your coding skills. At the end of each course, you will be asked to complete a peer review assignment. You will be tasked with creating a simple calculator and working with data to create data type arrays, implement DataFrames, and display the data in a scatter plot. You will also be asked to design an application that will convert a command line application to a GUI, and use your knowledge about machine learning to develop a classifier that helps medical personnel distinguish between malignant and benign tumors.

Introduction to Python

Course 116 hours4.2 (29 ratings)View course

What you'll learn

Students will master the basic skills of coding in python and will be able to understand the syntax.

Skills you'll gain

Development Environment, Software Engineering, Programming Principles, Scripting, Computer Engineering, Python Programming, Computer Programming, and Integrated Development Environments

Data Analysis and Visualization with Python

Course 216 hours4.7 (12 ratings)View course

What you'll learn

Students will learn how to perform data analysis and visualization using python.

Skills you'll gain

Pandas (Python Package), File Management, Exploratory Data Analysis, NumPy, Data Visualization Software, Matplotlib, Computer Programming, Data Import/Export, Data Manipulation, Data Structures, Data Analysis, Plot (Graphics), and Python Programming

Object-Oriented Programming and GUI with Python

Course 310 hours3.5 (14 ratings)View course

What you'll learn

Students will understand why object oriented programming is used and how to create a graphical user interface.

Skills you'll gain

Object Oriented Programming (OOP), Python Programming, Object Oriented Design, Application Development, Graphical Tools, User Interface (UI), Human Computer Interaction, Event-Driven Programming, and Computer Programming

Introduction to Machine Learning with Python

Course 412 hours3.8 (22 ratings)View course

What you'll learn

Students will be able to apply advanced python coding skills in the real world by creating machine learning models.

Skills you'll gain

Artificial Neural Networks, Computer Programming, Machine Learning Algorithms, Generative AI, Regression Analysis, Python Programming, Applied Machine Learning, Unsupervised Learning, Supervised Learning, Computer Vision, Deep Learning, Machine Learning, and Image Analysis

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Steven Osburn

Arizona State University

2 Courses3,650 learners

Adwith Malpe

Arizona State University

4 Courses9,374 learners

Offered by

Arizona State University

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Frequently asked questions

There are 15 modules, spread across 4 courses. Each module is based on one chapter of the textbook. The specialization can be completed in approximately 4 months.

It is not necessary to take the courses in a specific order, but we recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.

Coursera courses and certificates don't carry university credit, though some universities may choose to accept them for credit.

Python: A Guided Journey from Introduction to Application Specialization

What you'll learn

Overview

Skills you'll gain

Tools you'll learn

What’s included