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Ryan Ahmed
In this hands-on guided project, we will learn Python programming fundamentals and build our first program in Python. We will learn understand variables assignment, differentiate between various data types in python such as strings, lists, integer and float, learn the difference between for and while loops, develop functions in python, perform math operations, get information from User and Print data on the screen, and develop a simple game in Python.
Read more
In this hands-on guided project, we will learn Python programming fundamentals and build our first program in Python. We will learn understand variables assignment, differentiate between various data types in python such as strings, lists, integer and float, learn the difference between for and while loops, develop functions in python, perform math operations, get information from User and Print data on the screen, and develop a simple game in Python.
Read more
In this hands-on guided project, we will learn Python programming fundamentals and build our first program in Python. We will learn understand variables assignment, differentiate between various data types in python such as strings, lists, integer and float, learn the difference between for and while loops, develop functions in python, perform math operations, get information from User and Print data on the screen, and develop a simple game in Python.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/59yf4y/python
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What's inside
Syllabus
Financial Analysis with Python
In this hands-on guided project, we will learn Python programming fundamentals and build our first program in Python. We will learn understand variables assignment, differentiate between various data types in python such as strings, lists, integer and float, learn the difference between for and while loops, develop functions in python, perform math operations, get information from User and Print data on the screen, and develop a simple game in Python.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops foundational Python programming skills
Taught by experienced instructors, Ryan Ahmed, with hands-on guided project examples
Suitable for beginners with no prior programming experience
Targeted audience includes those interested in developing foundational Python programming skills
May require additional resources and practice for advanced Python programming
Save this course
Save Python 101: Develop Your First Python Program to your list so you can find it easily later:
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Reviews summary
Beginner-friendly python course
Learners say this entry-level course is well-structured and easy to follow. The interactive format is effective for beginners to learn Python quickly with hands-on practice.
Clear explanations and guidance.
"Ryan was very good instructor and very understandable in his explanations."
Reinforces learning with exercises.
"The instructor shows you how to complete a task and then you have the chance to try to complete a similar task on your own."
"Then you continue the video to see how the instructor completed it."
Great for those new to Python.
"This is a basic and very well formed guided project for those who want to learn python."
"Really great hands on learning for a new python coder to start using gradual build up."
Engagingly teaches Python basics.
"Really easy to follow/use!"
"Really quick and to the point hands on crash course on the basics of Python."
"Excellent, it was very useful. I really liked the fact that was interactive with possibility to practice the commands."
Issue with unassigned workspace.
"My workspace got unassigned and I am not happy about that. In fact, I am infuriated."
Final project not included in downloads.
"Excellent course. My only complaint is that the code for the final Capstone project is not included in the download files."
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 101: Develop Your First Python Program with these
activities:
Compile Python Resources
Show steps
Organize and expand your Python resources to enhance your learning experience and facilitate future reference.
Show steps
-
Gather a list of helpful Python tutorials, documentation, and online resources
-
Organize the resources into a structured format, such as a digital notebook or folder
-
Add notes, summaries, or examples to enhance your understanding
Review Basic Python Syntax
Show steps
Get a refresher on Python syntax to strengthen your understanding of basic Python concepts, and improve knowledge retention for the course.
Browse courses on
Python Syntax
Show steps
-
Revisit Python data types and their operations
-
Review control flow statements
-
Practice writing simple Python functions
Seek Python Mentorship
Show steps
Accelerate your Python learning by connecting with experienced Python developers who can provide guidance and support.
Show steps
-
Identify potential mentors through networking, online forums, or professional organizations
-
Reach out to potential mentors and express your interest in their guidance
-
Set up regular meetings to discuss your progress, challenges, and goals
Show all three activities
Compile Python Resources
Show steps
Organize and expand your Python resources to enhance your learning experience and facilitate future reference.
Show steps
Show steps
Show steps
- Gather a list of helpful Python tutorials, documentation, and online resources
- Organize the resources into a structured format, such as a digital notebook or folder
- Add notes, summaries, or examples to enhance your understanding
Review Basic Python Syntax
Show steps
Get a refresher on Python syntax to strengthen your understanding of basic Python concepts, and improve knowledge retention for the course.
Browse courses on
Python Syntax
Show steps
Show steps
Show steps
- Revisit Python data types and their operations
- Review control flow statements
- Practice writing simple Python functions
Seek Python Mentorship
Show steps
Accelerate your Python learning by connecting with experienced Python developers who can provide guidance and support.
Show steps
Show steps
Show steps
- Identify potential mentors through networking, online forums, or professional organizations
- Reach out to potential mentors and express your interest in their guidance
- Set up regular meetings to discuss your progress, challenges, and goals
Show all three activities
Career center
Learners who complete Python 101: Develop Your First Python Program will develop knowledge and skills
that may be useful to these careers:
Python Developer
Python Developer
Python Developers help build computer programs according to user requirements and specifications. This course will help you develop the foundational skills necessary to becoming a Python Developer. You will learn how to assign variables, differentiate between data types, work with loops and functions, perform math operations, and develop simple games in Python.
Data Analyst
Data Analyst
Data Analysts gather, clean, and analyze data to help businesses make informed decisions. This course will help you build a foundation in Python, which is a popular programming language for data analysis. You will learn how to work with data types, loops, functions, and math operations. This knowledge will be valuable for a career in data analysis.
Software Engineer
Software Engineer
Software Engineers design and develop computer software. This course will help you build a foundation in Python, which is a popular programming language for software development. You will learn how to work with data types, loops, functions, and math operations. This knowledge will be valuable for a career in software engineering.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. This course will help you build a foundation in Python, which is a popular programming language for machine learning. You will learn how to work with data types, loops, functions, and math operations. This knowledge will be valuable for a career in machine learning engineering.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. This course will help you build a foundation in Python, which is a popular programming language for data science. You will learn how to work with data types, loops, functions, and math operations. This knowledge will be valuable for a career in data science.
Web Developer
Web Developer
Web Developers design and develop websites. This course will help you build a foundation in Python, which is a popular programming language for web development. You will learn how to work with data types, loops, functions, and math operations. This knowledge will be valuable for a career in web development.
Financial Analyst
Financial Analyst
Financial Analysts help businesses make informed decisions about their finances. This course will help you build a foundation in Python, which is a popular programming language for financial analysis. You will learn how to work with data types, loops, functions, and math operations. This knowledge will be valuable for a career in financial analysis.
Business Analyst
Business Analyst
Business Analysts help businesses improve their performance. This course will help you build a foundation in Python, which is a popular programming language for business analysis. You will learn how to work with data types, loops, functions, and math operations. This knowledge will be valuable for a career in business analysis.
Project Manager
Project Manager
Project Managers plan and execute projects. This course will help you build a foundation in Python, which can be used for project management tasks such as data analysis, budgeting, and scheduling. You will learn how to work with data types, loops, functions, and math operations. This knowledge will be valuable for a career in project management.
Product Manager
Product Manager
Product Managers develop and manage products. This course will help you build a foundation in Python, which can be used for product management tasks such as data analysis, market research, and user experience. You will learn how to work with data types, loops, functions, and math operations. This knowledge will be valuable for a career in product management.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns. This course will help you build a foundation in Python, which can be used for marketing tasks such as data analysis, campaign management, and social media marketing. You will learn how to work with data types, loops, functions, and math operations. This knowledge will be valuable for a career in marketing management.
Sales Manager
Sales Manager
Sales Managers lead and manage sales teams. This course will help you build a foundation in Python, which can be used for sales tasks such as data analysis, customer relationship management, and lead generation. You will learn how to work with data types, loops, functions, and math operations. This knowledge will be valuable for a career in sales management.
Operations Manager
Operations Manager
Operations Managers plan and execute business operations. This course will help you build a foundation in Python, which can be used for operations tasks such as data analysis, supply chain management, and inventory management. You will learn how to work with data types, loops, functions, and math operations. This knowledge will be valuable for a career in operations management.
Human Resources Manager
Human Resources Manager
Human Resources Managers plan and execute human resources policies. This course will help you build a foundation in Python, which can be used for HR tasks such as data analysis, employee relations, and benefits management. You will learn how to work with data types, loops, functions, and math operations. This knowledge will be valuable for a career in human resources management.
Accountant
Accountant
Accountants prepare and analyze financial statements. This course will help you build a foundation in Python, which can be used for accounting tasks such as data analysis, financial reporting, and tax preparation. You will learn how to work with data types, loops, functions, and math operations. This knowledge will be valuable for a career in accounting.
For more career information including salaries, visit:
OpenCourser.com/course/59yf4y/python
Reading list
We've selected 14 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 101: Develop Your First Python Program.
Save
Comprehensive guide to Python programming for beginners. It covers all the basics of the language, including variables, data types, operators, control flow, and functions. It is written in a clear and concise style, with plenty of examples and exercises.
Fast-paced introduction to Python programming. It covers all the essential concepts of the language, including variables, data types, operators, control flow, and functions. It is written in a clear and concise style, with plenty of examples and exercises.
Save
Gentle introduction to Python programming for beginners. It covers all the basics of the language, including variables, data types, operators, control flow, and functions. It is written in a clear and concise style, with plenty of examples and exercises.
Comprehensive guide to Python programming for beginners. It covers all the basics of the language, including variables, data types, operators, control flow, and functions. It is written in a clear and concise style, with plenty of examples and exercises.
Save
Comprehensive introduction to Python programming for beginners. It covers all the basics of the language, including variables, data types, operators, control flow, and functions. It is written in a clear and concise style, with plenty of examples and exercises.
Comprehensive guide to Python programming for beginners and experienced programmers alike. It covers all the major features of the language, including variables, data types, operators, control flow, and functions. It is written in a clear and concise style, with plenty of examples and exercises.
Save
Collection of recipes for solving common programming problems in Python. It covers a wide range of topics, including variables, data types, operators, control flow, and functions. It is written in a clear and concise style, with plenty of examples and exercises.
Save
Comprehensive guide to Python programming for experienced programmers. It covers all the major features of the language, including variables, data types, operators, control flow, and functions. It is written in a clear and concise style, with plenty of examples and exercises.
Comprehensive reference guide to the Python standard library. It covers all the major modules and functions in the library, including variables, data types, operators, control flow, and functions. It is written in a clear and concise style, with plenty of examples and exercises.
Comprehensive guide to testing Python code with pytest. It covers all the major features of pytest, including fixtures, assertions, and parametrization. It is written in a clear and concise style, with plenty of examples and exercises.
Save
Comprehensive guide to algorithms in Python. It covers all the major algorithms, including sorting, searching, and graph traversal. It is written in a clear and concise style, with plenty of examples and exercises.
Comprehensive guide to data analysis in Python. It covers all the major topics in data analysis, including data cleaning, data exploration, and data visualization. It is written in a clear and concise style, with plenty of examples and exercises.
Comprehensive guide to machine learning in Python. It covers all the major topics in machine learning, including supervised learning, unsupervised learning, and deep learning. It is written in a clear and concise style, with plenty of examples and exercises.
Comprehensive guide to deep learning in Python. It covers all the major topics in deep learning, including convolutional neural networks, recurrent neural networks, and generative adversarial networks. It is written in a clear and concise style, with plenty of examples and exercises.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/59yf4y/python
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Ryan Ahmed
Language
English
Good to know
Develops foundational Python programming skills
Taught by experienced instructors, Ryan Ahmed, with hands-on guided project examples
Suitable for beginners with no prior programming experience
Targeted audience includes those interested in developing foundational Python programming skills
May require additional resources and practice for advanced Python programming
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