How many times have you decided to learn a programming language but got stuck somewhere along the way, grew frustrated, and gave up? This specialization is designed for learners who have little or no programming experience but want to use Python as a tool to play with data.
Introduction to Python Fundamentals
Introduction to Python Fundamentals
This course is part of Expressway to Data Science: Python Programming Specialization
Instructor: Di Wu
11,881 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.8
(179 reviews)
Beginner level
Recommended experience
20 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
By successfully completing this course, you will be able to describe the fundamentals of programming in Python.
You will be able to identify basic variables and data types.
You will also be able to write simple programs with Python.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
26 assignments
Taught in English
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This course is part of the Expressway to Data Science: Python Programming Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 4 modules in this course
Welcome on board! This first module will introduce you the basics about Computers, Programming Languages, and Python. You are going to learn basic input and output methods, and you are going to write your first interactive Python program. Are you ready? Let's go!
What's included
8 videos8 readings5 assignments1 discussion prompt
This module will introduce you the concept, Variables, and primitive data types. You will also learn the fundamental operations in Python: Assignment, Arithmetic, Relational, and Logical operations. With these tools unlocked, you can create a more useful computational program. Are you ready? Let's go!
What's included
7 videos8 readings8 assignments
This module will introduce you the concept, Flow Control. You will learn the branching methods, and be able to use optional, alternative, or nested branching for different conditions. Are you ready? Let's go!
What's included
6 videos8 readings6 assignments
This module will introduce you the repetitive flow control methods. You will be able to use condition-based repetition, or count-based repetition, for complex programs. Are you ready? Let's go!
What's included
5 videos6 readings7 assignments
Instructor
Instructor ratings
4.8 (59 ratings)Offered by
Recommended if you're interested in Data Analysis
Duke University
University of California, Davis
Duke University
Fractal Analytics
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4.8
179 reviews
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Showing 3 of 179
SM
5
Reviewed on Apr 18, 2024
Coursera is one of the platforms with the best content. Though not a beginner in the course I took, I still learned a lot from there and the course delivery was perfect.
TD
5
Reviewed on Oct 29, 2024
Good for beginners. In-depth explanations and tutorials.
MT
5
Reviewed on Nov 25, 2023
Very good programming course in Python. It covers a range of topics with insightful examples in Data Science, Business Modeling and Mathematics by improving problem-solving skills.
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.