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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 University of Richmond. If you enroll in this Try It, your learner data will not be shared with University of Richmond 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/ahhjdl/try
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
Provides a foundational introduction to Python, useful for both beginners with zero prior programming experience and those looking to strengthen their existing Python skills
Introduces core Python concepts and practices, enabling learners to become familiar with the basics of the language
Covers essential topics such as functions, variables, conditional logic, and Python console interaction, providing a well-rounded understanding of Python's capabilities
Focuses on developing programming skills in Python, making it suitable for learners seeking to apply Python in practical settings and projects
Provides hands-on coding practice through examples and exercises, allowing learners to apply their understanding of Python concepts
Serves as an introductory preparation for individuals interested in pursuing careers as data analysts, financial analysts, data scientists, and more
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:
Organize Your Python Materials
Show steps
Organizing your Python materials will help you stay on top of the course material and easily find what you need.
Browse courses on
Python
Show steps
-
Create a folder for your Python materials
-
Move your notes, assignments, and other materials into the folder
-
Create subfolders for different topics or assignments
Follow Python Tutorials
Show steps
Following tutorials will help you learn Python's syntax and apply it to practical problems.
Browse courses on
Python
Show steps
-
Visit the W3Schools website
-
Select the 'Python' tutorial
-
Follow the tutorial and complete the exercises
Review: Fluent Python
Show steps
This book will provide you with a deeper understanding of Python, its syntax, and its features.
View
Fluent Python: Clear, Concise, and Effective...
on Amazon
Show steps
-
Read Chapter 1: Introduction
-
Read Chapter 2: Basic Types
-
Read Chapter 3: Control Flow
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice Python Drills
Show steps
Coding drills will help you practice the Python concepts you've learned and improve your problem-solving skills.
Browse courses on
Python
Show steps
-
Visit the HackerRank website
-
Select the 'Python' track
-
Choose a problem and work through it
Attend a Python Workshop
Show steps
Attending a Python workshop will help you learn from experts and get hands-on experience.
Browse courses on
Python
Show steps
-
Find a Python workshop in your area
-
Register for the workshop
-
Attend the workshop
Create a Python Tutorial
Show steps
Creating a Python tutorial will help you reinforce your understanding of the language and share your knowledge with others.
Browse courses on
Python
Show steps
-
Choose a topic
-
Write your tutorial
-
Publish your tutorial
Organize Your Python Materials
Show steps
Organizing your Python materials will help you stay on top of the course material and easily find what you need.
Browse courses on
Python
Show steps
Show steps
Show steps
- Create a folder for your Python materials
- Move your notes, assignments, and other materials into the folder
- Create subfolders for different topics or assignments
Follow Python Tutorials
Show steps
Following tutorials will help you learn Python's syntax and apply it to practical problems.
Browse courses on
Python
Show steps
Show steps
Show steps
- Visit the W3Schools website
- Select the 'Python' tutorial
- Follow the tutorial and complete the exercises
Review: Fluent Python
Show steps
This book will provide you with a deeper understanding of Python, its syntax, and its features.
View
Fluent Python: Clear, Concise, and Effective...
on Amazon
Show steps
Show steps
Show steps
- Read Chapter 1: Introduction
- Read Chapter 2: Basic Types
- Read Chapter 3: Control Flow
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice Python Drills
Show steps
Coding drills will help you practice the Python concepts you've learned and improve your problem-solving skills.
Browse courses on
Python
Show steps
Show steps
Show steps
- Visit the HackerRank website
- Select the 'Python' track
- Choose a problem and work through it
Attend a Python Workshop
Show steps
Attending a Python workshop will help you learn from experts and get hands-on experience.
Browse courses on
Python
Show steps
Show steps
Show steps
- Find a Python workshop in your area
- Register for the workshop
- Attend the workshop
Create a Python Tutorial
Show steps
Creating a Python tutorial will help you reinforce your understanding of the language and share your knowledge with others.
Browse courses on
Python
Show steps
Show steps
Show steps
- Choose a topic
- Write your tutorial
- Publish your tutorial
Career center
Learners who complete Try It: Intro to Python will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst mines data to uncover insights and trends, and turns it into valuable information for decision making. This course introduces Python programming, a skill commonly used by Data Analysts on the job. By taking this course, you may build a foundation in Python and begin preparing for what employers seek in a Data Analyst.
Data Engineer
Data Engineer
A Data Engineer builds, maintains, and manages the infrastructure that stores and processes data, and often works with Data Analysts. This course introduces Python programming, a skill commonly used by Data Engineers on the job. By taking this course, you may build a foundation in Python and begin preparing for what employers seek in a Data Engineer.
Statistician
Statistician
A Statistician collects, analyzes, interprets, and presents data, and often works with Data Analysts. This course introduces Python programming, a skill commonly used by Statisticians on the job. By taking this course, you may build a foundation in Python and begin preparing for what employers seek in a Statistician.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models to automate complex tasks, and often works with Data Analysts. This course introduces Python programming, a skill commonly used by Machine Learning Engineers on the job. By taking this course, you may build a foundation in Python and begin preparing for what employers seek in a Machine Learning Engineer.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses advanced analytical techniques to solve complex business problems, and often works with Data Analysts. This course introduces Python programming, a skill commonly used by Operations Research Analysts on the job. By taking this course, you may build a foundation in Python and begin preparing for what employers seek in an Operations Research Analyst.
Actuary
Actuary
An Actuary analyzes the financial consequences of risk and uncertainty, and often works with Data Analysts. This course introduces Python programming, a skill commonly used by Actuaries on the job. By taking this course, you may build a foundation in Python and begin preparing for what employers seek in an Actuary.
Risk Analyst
Risk Analyst
A Risk Analyst identifies, assesses, and manages financial risks, and often works with Data Analysts. This course introduces Python programming, a skill commonly used by Risk Analysts on the job. By taking this course, you may build a foundation in Python and begin preparing for what employers seek in a Risk Analyst.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst applies mathematical and statistical methods to financial data to assess risk and make investment decisions, and often works with Data Analysts. This course introduces Python programming, a skill commonly used by Quantitative Analysts on the job. By taking this course, you may build a foundation in Python and begin preparing for what employers seek in a Quantitative Analyst.
Biostatistician
Biostatistician
A Biostatistician applies statistical methods to biological and medical data, and often works with Data Analysts. This course introduces Python programming, a skill commonly used by Biostatisticians on the job. By taking this course, you may build a foundation in Python and begin preparing for what employers seek in a Biostatistician.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations, and often works with Data Analysts. This course introduces Python programming, a skill commonly used by Financial Analysts on the job. By taking this course, you may build a foundation in Python and begin preparing for what employers seek in a Financial Analyst.
Insurance Analyst
Insurance Analyst
An Insurance Analyst evaluates insurance risks and develops insurance products, and often works with Data Analysts. This course introduces Python programming, a skill commonly used by Insurance Analysts on the job. By taking this course, you may build a foundation in Python and begin preparing for what employers seek in an Insurance Analyst.
Fraud Analyst
Fraud Analyst
A Fraud Analyst identifies and investigates fraudulent activities, and often works with Data Analysts. This course introduces Python programming, a skill commonly used by Fraud Analysts on the job. By taking this course, you may build a foundation in Python and begin preparing for what employers seek in a Fraud Analyst.
Market Researcher
Market Researcher
A Market Researcher conducts research on target markets and consumer behavior to help businesses make informed decisions, and often works with Data Analysts. This course introduces Python programming, a skill commonly used by Market Researchers on the job. By taking this course, you may build a foundation in Python and begin preparing for what employers seek in a Marketing Researcher.
Marketing Analyst
Marketing Analyst
A Marketing Analyst analyzes marketing data to improve marketing campaigns, and often works with Data Analysts. This course introduces Python programming, a skill commonly used by Marketing Analysts on the job. By taking this course, you may build a foundation in Python and begin preparing for what employers seek in a Marketing Analyst.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and systems to improve efficiency and effectiveness, and often works with Data Analysts. This course introduces Python programming, a skill commonly used by Business Analysts on the job. By taking this course, you may build a foundation in Python and begin preparing for what employers seek in a Business Analyst.
For more career information including salaries, visit:
OpenCourser.com/course/ahhjdl/try
Reading list
We've selected 13 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.
This practical, hands-on guide offers lots of exercises, projects, and examples to help you actively learn Python. It teaches important fundamentals of data science, machine learning, automation, and more.
Save
Delves deeply into Python's core language features and idioms. It provides insights into how to write effective, maintainable, and idiomatic Python code.
Save
Offers a comprehensive introduction to Python programming and software design. It covers fundamental concepts like objects, classes, data structures, and algorithms.
Save
This comprehensive guide to Python 3 covers a wide range of topics, including object-oriented programming, data structures, and web development. It good reference for Python programmers of all levels.
Focuses on data analysis with Python. It's helpful as a reference guide for working with data in Python, and it covers data loading, cleaning, manipulation, and visualization.
Offers a collection of tested, ready-to-use recipes for solving common programming problems in Python.
Save
Offers a curated, in-depth introduction to Python. It provides a solid grounding for those who want a deeper understanding of Python and how it works.
Save
This friendly, accessible guide uses a visually rich format designed for visual learners. It is easy to read and use, and makes programming concepts crystal-clear.
Save
Serves as a comprehensive reference guide to Python. It provides a concise overview of all major topics and serves as a useful tool for experienced Python programmers.
Provides an accessible introduction to Python and its applications in data science. It covers concepts like data structures, algorithms, and data visualization, making it a good resource for those interested in data analysis.
For those interested in machine learning with Python, this book covers supervised and unsupervised learning, natural language processing, and deep learning. It provides hands-on practice with real-world datasets and popular machine learning libraries.
Save
This open-source book is designed for beginners and covers a wide range of Python topics, from basic syntax to data structures and object-oriented programming.
Perfect for those interested in automation. It guides you in automating essential tasks, such as sending emails, scraping data, making web requests, and more.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ahhjdl/try
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Effort
1 to 2 hours per week for 1 week
Level
Introductory
Via
edX
Institution
University of Richmond
Language
English
Transcript
English
Good to know
Provides a foundational introduction to Python, useful for both beginners with zero prior programming experience and those looking to strengthen their existing Python skills
Introduces core Python concepts and practices, enabling learners to become familiar with the basics of the language
Covers essential topics such as functions, variables, conditional logic, and Python console interaction, providing a well-rounded understanding of Python's capabilities
Focuses on developing programming skills in Python, making it suitable for learners seeking to apply Python in practical settings and projects
Provides hands-on coding practice through examples and exercises, allowing learners to apply their understanding of Python concepts
Serves as an introductory preparation for individuals interested in pursuing careers as data analysts, financial analysts, data scientists, and more
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