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Sam Redmond
Enroll in our Advanced Python Course for comprehensive training in modern programming techniques. Master cutting-edge Python skills and elevate your career.
Prerequisite details
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Control flow
You will also need to be able to communicate fluently and professionally in written and spoken English.
Register for this course and see more details by visiting:
OpenCourser.com/course/8f9fat/advanced
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What's inside
Syllabus
Get an overview of the course, take a look at Python's quirky history, and learn why Python is a powerful way of thinking.
Take a deep dive into data in Python, craft new ways to abstractly think about data, and practice concrete methods for manipulating Python's essential data types.
Read more
Syllabus
Get an overview of the course, take a look at Python's quirky history, and learn why Python is a powerful way of thinking.
Take a deep dive into data in Python, craft new ways to abstractly think about data, and practice concrete methods for manipulating Python's essential data types.
Read more
Explore functions and functional programming in Python, including function parameters and functions as manipulable objects.
Discover Python's tools for object-oriented programming and explore Python's exception hierarchy.
Learn all about reading and writing data files using Python, including plain text, JSON, and CSV files.
Use Python to search for and explore close approaches of near-Earth objects (NEOs), using data from NASA/JPL's Center for Near-Earth Object Studies.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds a strong foundation for beginners interested in Python programming techniques
Strengthens an existing foundation for intermediate Python programmers looking to advance their skills and knowledge in modern programming techniques
Develops professional skills and Python mastery in advanced programming techniques to improve career opportunities
Covers unique perspectives and ideas in Python programming, expanding learners' understanding of the field
Provides hands-on labs and interactive materials to enhance the learning experience
Taught by experienced instructors in Python programming, ensuring the course's quality and reliability
Save this course
Save Advanced Python Techniques to your list so you can find it easily later:
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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 Advanced Python Techniques with these
activities:
Review your basic understanding of control flow
Show steps
Brushing up on the basics of control flow will help you understand more advanced concepts in Python.
Browse courses on
Control Flow
Show steps
-
Go over your notes from a previous course or tutorial on control flow.
-
Work through some practice problems on control flow.
Complete a tutorial on Python’s data types
Show steps
Understanding Python's data types is essential for working with data in Python.
Show steps
-
Find a tutorial on Python data types.
-
Follow the tutorial and complete the exercises.
Practice writing functions in Python
Show steps
Practicing writing functions will help you improve your understanding of Python's functional programming capabilities.
Show steps
-
Find a set of practice problems on writing functions in Python.
-
Work through the problems and check your solutions against the provided answers.
Three other activities
Expand to see all activities and additional details
Show all six activities
Review 'Python Cookbook' by David Beazley and Brian K. Jones
Show steps
This book provides a collection of practical recipes for solving common Python programming problems.
View
Python Cookbook: Recipes for Mastering Python 3
on Amazon
Show steps
-
Read through the book and identify recipes that are relevant to your current skill level.
-
Implement the recipes in your own Python code.
Participate in a Python coding competition
Show steps
Participating in a coding competition will test your Python skills and help you identify areas for improvement.
Browse courses on
Python Programming
Show steps
-
Find a Python coding competition that aligns with your skill level.
-
Register for the competition and prepare by practicing Python problems.
-
Compete in the competition and review your results.
Build a Python project that demonstrates your understanding of object-oriented programming
Show steps
Building a project will allow you to apply your knowledge of object-oriented programming in Python and create something tangible.
Show steps
-
Define the scope of your project and identify the objects that you will need to create.
-
Design the classes and methods for your objects.
-
Implement your design and test your code.
Review your basic understanding of control flow
Show steps
Brushing up on the basics of control flow will help you understand more advanced concepts in Python.
Browse courses on
Control Flow
Show steps
Show steps
Show steps
- Go over your notes from a previous course or tutorial on control flow.
- Work through some practice problems on control flow.
Complete a tutorial on Python’s data types
Show steps
Understanding Python's data types is essential for working with data in Python.
Show steps
Show steps
Show steps
- Find a tutorial on Python data types.
- Follow the tutorial and complete the exercises.
Practice writing functions in Python
Show steps
Practicing writing functions will help you improve your understanding of Python's functional programming capabilities.
Show steps
Show steps
Show steps
- Find a set of practice problems on writing functions in Python.
- Work through the problems and check your solutions against the provided answers.
Three other activities
Expand to see all activities and additional details
Show all six activities
Review 'Python Cookbook' by David Beazley and Brian K. Jones
Show steps
This book provides a collection of practical recipes for solving common Python programming problems.
View
Python Cookbook: Recipes for Mastering Python 3
on Amazon
Show steps
Show steps
Show steps
- Read through the book and identify recipes that are relevant to your current skill level.
- Implement the recipes in your own Python code.
Participate in a Python coding competition
Show steps
Participating in a coding competition will test your Python skills and help you identify areas for improvement.
Browse courses on
Python Programming
Show steps
Show steps
Show steps
- Find a Python coding competition that aligns with your skill level.
- Register for the competition and prepare by practicing Python problems.
- Compete in the competition and review your results.
Build a Python project that demonstrates your understanding of object-oriented programming
Show steps
Building a project will allow you to apply your knowledge of object-oriented programming in Python and create something tangible.
Show steps
Show steps
Show steps
- Define the scope of your project and identify the objects that you will need to create.
- Design the classes and methods for your objects.
- Implement your design and test your code.
Career center
Learners who complete Advanced Python Techniques will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models. This course can help aspiring Machine Learning Engineers build a foundation in Python programming, which is a widely-used language in this field. This course covers essential Python data types, functions, object-oriented programming concepts, and data file reading and writing, which are all essential for machine learning engineering.
Data Scientist
Data Scientist
Data Scientists use scientific methods and statistical techniques to extract knowledge from data. This course can help aspiring Data Scientists build a foundation in Python programming, which is a widely-used language in this field. This course covers essential Python data types, functions, object-oriented programming concepts, and data file reading and writing, which are all essential for data science.
Data Engineer
Data Engineer
Data Engineers build and maintain data pipelines and infrastructure. This course can help aspiring Data Engineers build a foundation in Python programming, which is a widely-used language in this field. This course covers essential Python data types, functions, object-oriented programming concepts, and data file reading and writing, which are all essential for data engineering.
Data Analyst
Data Analyst
Data Analysts extract, clean, model, and interpret data to help businesses make informed decisions. This course can help aspiring Data Analysts build a foundation in Python programming, which is a highly sought-after skill in this field. This course covers essential Python data types, functions, and object-oriented programming concepts, which are all essential for data analysis.
Software Engineer
Software Engineer
Software Engineers develop and maintain software applications. This course can help aspiring Software Engineers build a foundation in Python programming, which is a widely-used language in this field. This course covers essential Python data types, functions, object-oriented programming concepts, and data file reading and writing, which are all essential for software engineering.
Web Developer
Web Developer
Web Developers build and maintain websites. This course can help aspiring Web Developers build a foundation in Python programming, which is a widely-used language in this field. This course covers essential Python data types, functions, object-oriented programming concepts, and data file reading and writing, which are all essential for web development.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. This course can help aspiring Quantitative Analysts build a foundation in Python programming, which is a widely-used language in this field. This course covers essential Python data types, functions, object-oriented programming concepts, and data file reading and writing, which are all helpful for quantitative analysis.
Business Analyst
Business Analyst
Business Analysts help businesses understand their data and make better decisions. This course can help aspiring Business Analysts build a foundation in Python programming, which is a highly sought-after skill in this field. This course covers essential Python data types, functions, and object-oriented programming concepts, which are all helpful for business analysis.
Market Researcher
Market Researcher
Market Researchers collect and analyze data to help businesses understand their markets. This course can help aspiring Market Researchers build a foundation in Python programming, which is a highly sought-after skill in this field. This course covers essential Python data types, functions, and object-oriented programming concepts, which are all helpful for market research.
Financial Analyst
Financial Analyst
Financial Analysts use financial data to make investment recommendations. This course can help aspiring Financial Analysts build a foundation in Python programming, which is a highly sought-after skill in this field. This course covers essential Python data types, functions, and object-oriented programming concepts, which are all helpful for financial analysis.
Actuary
Actuary
Actuaries use mathematical and statistical models to assess risk and uncertainty. This course can help aspiring Actuaries build a foundation in Python programming, which is a highly sought-after skill in this field. This course covers essential Python data types, functions, and object-oriented programming concepts, which are all helpful for actuarial science.
Biostatistician
Biostatistician
Biostatisticians use statistical methods to analyze biological data. This course can help aspiring Biostatisticians build a foundation in Python programming, which is a highly sought-after skill in this field. This course covers essential Python data types, functions, and object-oriented programming concepts, which are all helpful for biostatistics.
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes of disease and other health problems. This course can help aspiring Epidemiologists build a foundation in Python programming, which is a highly sought-after skill in this field. This course covers essential Python data types, functions, and object-oriented programming concepts, which are all helpful for epidemiology.
Data Journalist
Data Journalist
Data Journalists use data to tell stories and inform the public. This course can help aspiring Data Journalists build a foundation in Python programming, which is a highly sought-after skill in this field. This course covers essential Python data types, functions, and object-oriented programming concepts, which are all helpful for data journalism.
UX Researcher
UX Researcher
UX Researchers study how users interact with products and services. This course can help aspiring UX Researchers build a foundation in Python programming, which is a highly sought-after skill in this field. This course covers essential Python data types, functions, and object-oriented programming concepts, which are all helpful for UX research.
For more career information including salaries, visit:
OpenCourser.com/course/8f9fat/advanced
Reading list
We've selected 12 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
Advanced Python Techniques.
Save
Collection of recipes for solving common Python programming problems. It covers a wide range of topics, including data structures, algorithms, and web development. It valuable resource for Python programmers of all levels.
Comprehensive guide to the Python programming language. It covers all the latest features of Python, including async programming, type hints, and dataclasses. It also includes a number of helpful examples and exercises.
Save
Deep dive into the Python programming language. It covers all the advanced features of the language, including decorators, metaclasses, and concurrency. It also includes a number of tips and tricks to help you write better Python code.
Comprehensive guide to data science in Python. It covers all the essential data science topics, including data cleaning, data exploration, data visualization, and machine learning. It also includes a number of exercises and projects to help you practice your skills.
Comprehensive introduction to data structures and algorithms in Python. It covers all the essential data structures and algorithms, including lists, stacks, queues, trees, and graphs. It also includes a number of exercises and projects to help you practice your skills.
Save
Comprehensive introduction to Python programming. It covers all the basics of the language, including data types, control flow, functions, and object-oriented programming. It also includes a number of exercises and projects to help you practice your skills.
Comprehensive guide to machine learning in Python. It covers all the essential machine learning algorithms, including linear regression, logistic regression, decision trees, and support vector machines. It also includes a number of exercises and projects to help you practice your skills.
Comprehensive guide to data analysis in Python. It covers all the essential data analysis techniques, including data cleaning, data exploration, and data visualization. It also includes a number of exercises and projects to help you practice your skills.
Comprehensive guide to web development in Python. It covers all the essential web development topics, including web frameworks, databases, and user authentication. It also includes a number of exercises and projects to help you practice your skills.
Comprehensive guide to finance in Python. It covers all the essential finance topics, including financial data analysis, financial modeling, and risk management. It also includes a number of exercises and projects to help you practice your skills.
Comprehensive guide to natural language processing in Python. It covers all the essential natural language processing techniques, including text preprocessing, text classification, and text generation. It also includes a number of exercises and projects to help you practice your skills.
Save
Gentle introduction to Python programming. It is written for beginners with no prior programming experience. It covers all the basics of the language, including data types, control flow, functions, and object-oriented programming.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/8f9fat/advanced
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Effort
4 weeks
Via
Udacity
Instructor
Sam Redmond
Language
English
Good to know
Builds a strong foundation for beginners interested in Python programming techniques
Strengthens an existing foundation for intermediate Python programmers looking to advance their skills and knowledge in modern programming techniques
Develops professional skills and Python mastery in advanced programming techniques to improve career opportunities
Covers unique perspectives and ideas in Python programming, expanding learners' understanding of the field
Provides hands-on labs and interactive materials to enhance the learning experience
Taught by experienced instructors in Python programming, ensuring the course's quality and reliability
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