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Python is one of the most popular and in-demand programming languages in the world — largely because of how readable and versatile it is. If you’re interested in learning Python, this free, introductory course will demonstrate how learning to code in Python could benefit your career. No previous programming experience is required.
Read more
Python is one of the most popular and in-demand programming languages in the world — largely because of how readable and versatile it is. If you’re interested in learning Python, this free, introductory course will demonstrate how learning to code in Python could benefit your career. No previous programming experience is required.
Read more
Python is one of the most popular and in-demand programming languages in the world — largely because of how readable and versatile it is. If you’re interested in learning Python, this free, introductory course will demonstrate how learning to code in Python could benefit your career. No previous programming experience is required.
From analyzing large datasets to building web applications, Python can be used for a variety of projects including:
- Writing scripts for automating tasks
-Web development
-Collecting data from websites (also known as “web scraping”)
-Scientific and numeric computing
-Data analysis
-Data visualization
-Machine learning
Python is also a useful skill applicable to roles across a wide range of industries, including:
-Energy
-Finance
-Healthcare
-Marketing
-IT
-Retail
This course is an introduction to our Boot Camps, which combine data analysis and machine learning to prepare learners for careers such as data analysts, financial analysts, data scientists, and more.
This Try It is offered in support of the Coding Boot Camp and Data Analytics Boot Camp with the Tecnológico de Monterrey. If you enroll in this Try It, your learner data will not be shared with the Tecnológico de Monterrey unless you enroll in the Coding Boot Camp or Data Analytics Boot Camp.
Register for this course and see more details by visiting:
OpenCourser.com/course/nwqzik/try
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What's inside
Learning objectives
- -what python is and where it’s used.
- -functions, the bits of code that tell python what to do.
- -how to create and name variables.
- -how to build conditional logic to automate dual-alternative decision-making.
- -how to use python for advanced decision making with nested if/else statements.
- -how python interacts with a console.
- -how to code simple programs and use conditional statements to automate decision-making.
- -what python is and where it’s used.
- -functions, the bits of code that tell python what to do.
- -how to create and name variables.
- -how to build conditional logic to automate dual-alternative decision-making.
- -how to use python for advanced decision making with nested if/else statements.
- -how python interacts with a console.
- -how to code simple programs and use conditional statements to automate decision-making.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for a range of learners, with no prior programming experience required
Provides a foundation for careers in data analysis, financial analysis, and data science
Covers versatile applications of Python across industries, including energy, finance, and healthcare
Introduces core concepts such as functions, variables, and conditional logic
May require additional research for those seeking in-depth knowledge of advanced Python concepts
Recommended as an introductory course to the Coding Boot Camp and Data Analytics Boot Camp with the Tecnológico de Monterrey
Save this course
Save Try It: Intro to Python 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 Try It: Intro to Python with these
activities:
Read 'Python Crash Course'
Show steps
Gain a comprehensive overview of Python fundamentals and practical applications.
View
Python Crash Course, 2nd Edition: A Hands-On,...
on Amazon
Show steps
-
Read through the chapters thoroughly.
-
Complete the practice exercises in the book.
-
Refer to the book for clarification and reinforcement.
Practice Python Coding Challenges
Show steps
Enhance your understanding of Python syntax and improve your problem-solving skills.
Browse courses on
Python Coding
Show steps
-
Find Python coding challenges online.
-
Select a challenge that aligns with your skill level.
-
Attempt to solve the challenge on your own.
-
Review solutions and explanations to identify areas for improvement.
Show all two activities
Read 'Python Crash Course'
Show steps
Gain a comprehensive overview of Python fundamentals and practical applications.
View
Python Crash Course, 2nd Edition: A Hands-On,...
on Amazon
Show steps
Show steps
Show steps
- Read through the chapters thoroughly.
- Complete the practice exercises in the book.
- Refer to the book for clarification and reinforcement.
Practice Python Coding Challenges
Show steps
Enhance your understanding of Python syntax and improve your problem-solving skills.
Browse courses on
Python Coding
Show steps
Show steps
Show steps
- Find Python coding challenges online.
- Select a challenge that aligns with your skill level.
- Attempt to solve the challenge on your own.
- Review solutions and explanations to identify areas for improvement.
Show all two activities
Career center
Learners who complete Try It: Intro to Python will develop knowledge and skills
that may be useful to these careers:
Software Engineer
Software Engineer
Software Engineers apply engineering principles to design, build, maintain, and modify software applications. They use programming languages to create functional and efficient applications, often for specific platforms or domains. This course in Python programming can help aspiring Software Engineers develop the foundational skills necessary to succeed in this role.
Data Analyst
Data Analyst
Data Analysts gather and analyze data to identify trends and patterns. They use this information to solve business problems and make recommendations for improvement. Python is widely used in data analysis, and this course can provide aspiring Data Analysts with a solid foundation in the programming skills needed for success.
Web Developer
Web Developer
Web Developers design and build websites and web applications. They use programming languages like Python to create dynamic and interactive web pages. This course in Python programming can help aspiring Web Developers gain the skills necessary to develop and maintain websites and web applications.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. They use programming languages like Python to create algorithms that can learn from data and make predictions. This course in Python programming can help aspiring Machine Learning Engineers build the foundational skills needed to succeed in this role.
Data Scientist
Data Scientist
Data Scientists use data to extract knowledge and insights. They use programming languages like Python to analyze data, build models, and communicate findings. This course in Python programming can help aspiring Data Scientists develop the skills needed to succeed in this role.
Financial Analyst
Financial Analyst
Financial Analysts use financial data to make investment recommendations. They use programming languages like Python to analyze financial data and build models. This course in Python programming can help aspiring Financial Analysts develop the skills needed to succeed in this role.
Business Analyst
Business Analyst
Business Analysts use data and analytics to identify business needs and opportunities. They use programming languages like Python to analyze data and build models. This course in Python programming can help aspiring Business Analysts develop the skills needed to succeed in this role.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. They use programming languages like Python to automate tasks and track progress. This course in Python programming can help aspiring Project Managers develop the skills needed to succeed in this role.
Product Manager
Product Manager
Product Managers define and manage the development of products. They use programming languages like Python to prototype and test products. This course in Python programming can help aspiring Product Managers develop the skills needed to succeed in this role.
Marketing Analyst
Marketing Analyst
Marketing Analysts use data to understand customer behavior and develop marketing campaigns. They use programming languages like Python to analyze data and build models. This course in Python programming can help aspiring Marketing Analysts develop the skills needed to succeed in this role.
Sales Engineer
Sales Engineer
Sales Engineers use technical expertise to sell and support products and services. They use programming languages like Python to demonstrate products and build prototypes. This course in Python programming can help aspiring Sales Engineers develop the skills needed to succeed in this role.
Technical Writer
Technical Writer
Technical Writers create documentation for software and other technical products. They use programming languages like Python to understand the products they are writing about. This course in Python programming can help aspiring Technical Writers develop the skills needed to succeed in this role.
Quality Assurance Tester
Quality Assurance Tester
Quality Assurance Testers test software to ensure that it meets quality standards. They use programming languages like Python to automate tests and analyze results. This course in Python programming can help aspiring Quality Assurance Testers develop the skills needed to succeed in this role.
Systems Administrator
Systems Administrator
Systems Administrators manage computer systems and networks. They use programming languages like Python to automate tasks and troubleshoot problems. This course in Python programming can help aspiring Systems Administrators develop the skills needed to succeed in this role.
Network Engineer
Network Engineer
Network Engineers design, build, and maintain computer networks. They use programming languages like Python to automate tasks and troubleshoot problems. This course in Python programming may be helpful for aspiring Network Engineers who want to develop the skills needed to succeed in this role.
For more career information including salaries, visit:
OpenCourser.com/course/nwqzik/try
Reading list
We've selected 15 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
Try It: Intro to Python.
Practical guide to automating tasks with Python. It covers a wide range of topics, from simple tasks like sending emails to more complex tasks like scraping websites and interacting with APIs. This book valuable resource for anyone who wants to learn how to use Python to automate their work.
Save
Guide to the more advanced features of Python. It covers topics like metaprogramming, decorators, and generators. This book good choice for intermediate and advanced learners who want to learn more about the inner workings of Python.
Comprehensive guide to Python. It covers a wide range of topics, from the basics of the language to more advanced topics like data science and machine learning. This book good choice for intermediate and advanced learners who want to learn more about Python.
Comprehensive guide to Python. It covers a wide range of topics, from the basics of the language to more advanced topics like concurrency and web development. This book good choice for intermediate and advanced learners who want to learn more about Python.
Save
Free online textbook that teaches the basics of Python and computer science. It good choice for beginners who want to learn Python in a structured and academic way.
Guide to using Python for natural language processing. It covers topics like text classification, text clustering, and machine translation. This book good choice for learners who want to learn how to use Python for natural language processing.
Fast-paced introduction to Python. It covers the basics of the language, as well as more advanced topics like object-oriented programming and data science. This book good choice for beginners who want to learn Python quickly.
Save
Textbook that teaches the basics of Python and computer science. It good choice for beginners who want to learn Python in a structured and academic way.
Save
Collection of recipes for solving common programming problems in Python. It valuable resource for learners of all levels who want to find solutions to specific problems.
Guide to using Python for data analysis. It covers topics like data cleaning, data exploration, and data visualization. This book good choice for learners who want to learn how to use Python for data analysis.
Guide to using Python for machine learning. It covers topics like supervised learning, unsupervised learning, and deep learning. This book good choice for learners who want to learn how to use Python for machine learning.
Guide to using Python for deep learning. It covers topics like convolutional neural networks, recurrent neural networks, and transformers. This book good choice for learners who want to learn how to use Python for deep learning.
Save
Guide to writing high-quality Python code. It covers topics like code style, testing, and debugging. This book good choice for intermediate and advanced learners who want to improve their Python coding skills.
Save
Visually appealing introduction to Python. It uses a hands-on approach to teach the basics of the language. This book good choice for beginners who want to learn Python in a fun and engaging way.
Save
Free online textbook that teaches the basics of Python. It good choice for beginners who want to learn Python at their own pace.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/nwqzik/try
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Effort
1 to 2 hours per week for 1 week
Level
Introductory
Via
edX
Institution
Tecnológico de Monterrey
Language
English
Transcript
English
Good to know
Suitable for a range of learners, with no prior programming experience required
Provides a foundation for careers in data analysis, financial analysis, and data science
Covers versatile applications of Python across industries, including energy, finance, and healthcare
Introduces core concepts such as functions, variables, and conditional logic
May require additional research for those seeking in-depth knowledge of advanced Python concepts
Recommended as an introductory course to the Coding Boot Camp and Data Analytics Boot Camp with the Tecnológico de Monterrey
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