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Try It
Intro to Python
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 University of Texas at San Antonio. If you enroll in this Try It, your learner data will not be shared with The University of Texas at San Antonio 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/h0i6x8/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
Builds knowledge in Python, which is widely used in industry and academia
Provides a stepping stone to a career in data analysis by equipping learners with essential skills
No previous programming knowledge is required, making it accessible to beginners
Benefits a wide range of industries, including energy, finance, healthcare, marketing, IT, and retail
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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 plays a crucial role in transforming raw data into actionable insights. They analyze data to identify trends, patterns, and anomalies, providing businesses with valuable information for decision-making. This Intro to Python course can be a valuable starting point for aspiring Data Analysts, as it introduces the fundamentals of Python, a widely used programming language in data analysis. The course covers concepts such as functions, variables, conditional logic, and basic programming principles, which are essential skills for data manipulation and analysis.
Data Scientist
Data Scientist
Data Scientists are highly skilled professionals who use their expertise in statistics, programming, and machine learning to extract knowledge and insights from data. This Intro to Python course provides a solid foundation for aspiring Data Scientists, as it introduces the basics of Python, a language commonly used in data science. The course covers concepts such as functions, variables, conditional logic, and basic programming principles, which are essential for data manipulation and analysis. Additionally, the course provides an overview of how Python is used for tasks such as web development and data visualization, which are relevant to the work of Data Scientists.
Financial Analyst
Financial Analyst
Financial Analysts are responsible for evaluating and interpreting financial data to make sound investment decisions. This Intro to Python course may be beneficial for aspiring Financial Analysts, as it introduces the basics of Python, a programming language that is increasingly used in the finance industry for data analysis and modeling. The course covers concepts such as functions, variables, conditional logic, and basic programming principles, which are essential for data manipulation and analysis.
Web Developer
Web Developer
Web Developers are responsible for designing, developing, and maintaining websites and web applications. This Intro to Python course provides a solid foundation for aspiring Web Developers, as it introduces the basics of Python, a programming language that is commonly used in web development. The course covers concepts such as functions, variables, conditional logic, and basic programming principles, which are essential for writing and debugging code. Additionally, the course provides an overview of how Python is used for tasks such as web development and data visualization, which are relevant to the work of Web Developers.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This Intro to Python course provides a strong foundation for aspiring Software Engineers, as it introduces the basics of Python, a widely used programming language in software development. The course covers concepts such as functions, variables, conditional logic, and basic programming principles, which are essential for writing and debugging code. Additionally, the course provides an overview of how Python is used for tasks such as web development and data analysis, which are relevant to the work of Software Engineers.
IT Specialist
IT Specialist
IT Specialists support and maintain computer systems and networks. This Intro to Python course may be beneficial for aspiring IT Specialists, as it introduces the basics of Python, a programming language that is increasingly used in IT for tasks such as network administration and system monitoring. The course covers concepts such as functions, variables, conditional logic, and basic programming principles, which are essential for writing and debugging scripts and automating tasks.
Data Engineer
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines and infrastructure. This Intro to Python course provides a solid foundation for aspiring Data Engineers, as it introduces the basics of Python, a programming language that is widely used in data engineering. The course covers concepts such as functions, variables, conditional logic, and basic programming principles, which are essential for writing and debugging code. Additionally, the course provides an overview of how Python is used for tasks such as data extraction, transformation, and loading, which are relevant to the work of Data Engineers.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This Intro to Python course provides a solid foundation for aspiring Machine Learning Engineers, as it introduces the basics of Python, a programming language that is widely used in machine learning. The course covers concepts such as functions, variables, conditional logic, and basic programming principles, which are essential for writing and debugging code. Additionally, the course provides an overview of how Python is used for tasks such as data preprocessing, model training, and evaluation, which are relevant to the work of Machine Learning Engineers.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. This Intro to Python course may be beneficial for aspiring Quantitative Analysts, as it introduces the basics of Python, a programming language that is increasingly used in the finance industry for data analysis and modeling. The course covers concepts such as functions, variables, conditional logic, and basic programming principles, which are essential for writing and debugging code.
Business Analyst
Business Analyst
Business Analysts are responsible for analyzing business processes and identifying opportunities for improvement. This Intro to Python course may be beneficial for aspiring Business Analysts, as it introduces the basics of Python, a programming language that is increasingly used in business analysis for tasks such as data analysis and process modeling. The course covers concepts such as functions, variables, conditional logic, and basic programming principles, which are essential for writing and debugging scripts and automating tasks.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex business problems. This Intro to Python course may be beneficial for aspiring Operations Research Analysts, as it introduces the basics of Python, a programming language that is increasingly used in operations research for tasks such as data analysis and optimization modeling. The course covers concepts such as functions, variables, conditional logic, and basic programming principles, which are essential for writing and debugging code.
Actuary
Actuary
Actuaries use mathematical and statistical techniques to assess and manage risk. This Intro to Python course may be beneficial for aspiring Actuaries, as it introduces the basics of Python, a programming language that is increasingly used in the insurance industry for tasks such as data analysis and risk modeling. The course covers concepts such as functions, variables, conditional logic, and basic programming principles, which are essential for writing and debugging code.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to help organizations make informed decisions. This Intro to Python course may be beneficial for aspiring Statisticians, as it introduces the basics of Python, a programming language that is increasingly used in statistics for tasks such as data analysis and statistical modeling. The course covers concepts such as functions, variables, conditional logic, and basic programming principles, which are essential for writing and debugging code.
Market Researcher
Market Researcher
Market Researchers conduct research to understand consumer behavior and market trends. This Intro to Python course may be beneficial for aspiring Market Researchers, as it introduces the basics of Python, a programming language that is increasingly used in market research for tasks such as data analysis and survey design. The course covers concepts such as functions, variables, conditional logic, and basic programming principles, which are essential for writing and debugging scripts and automating tasks.
Economist
Economist
Economists study the production, distribution, and consumption of goods and services. This Intro to Python course may be beneficial for aspiring Economists, as it introduces the basics of Python, a programming language that is increasingly used in economics for tasks such as data analysis and econometric modeling. The course covers concepts such as functions, variables, conditional logic, and basic programming principles, which are essential for writing and debugging code.
For more career information including salaries, visit:
OpenCourser.com/course/h0i6x8/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.
Save
Provides a comprehensive introduction to Python programming, making it a great choice for beginners who want to learn the basics of the language. It covers topics such as data types, variables, control flow, functions, and object-oriented programming.
Great resource for learning Python through hands-on projects. It covers topics such as data structures, algorithms, and web development, making it a valuable resource for those who want to use Python for practical applications.
Practical guide to using Python for automating tasks, making it a great choice for those who want to use Python for practical applications. It covers topics such as web scraping, data manipulation, and automating repetitive tasks.
Save
Provides a deep dive into the Python programming language, covering topics such as data structures, algorithms, and design patterns. It valuable resource for those who want to learn more about the inner workings of Python and write more efficient and effective code.
Comprehensive guide to using Python for data analysis. It covers topics such as data cleaning, data manipulation, and data visualization, making it a valuable resource for those who want to use Python for data analysis and machine learning.
Practical introduction to machine learning using Python. It covers topics such as supervised learning, unsupervised learning, and deep learning, making it a valuable resource for those who want to use Python for machine learning.
Save
Comprehensive introduction to computer science using Python. It covers topics such as data structures, algorithms, and object-oriented programming, making it a valuable resource for those who want to learn the fundamentals of computer science.
Save
Gentle introduction to computer science using Python. It covers topics such as data types, variables, control flow, and functions, making it a great choice for beginners who want to learn the basics of programming.
Save
Comprehensive guide to the Python standard library. It provides a detailed overview of the library's modules and functions, making it a valuable resource for those who want to learn more about the Python standard library.
Save
Comprehensive guide to the Python 3 programming language. It covers topics such as data types, variables, control flow, and functions, making it a great choice for beginners who want to learn the basics of Python 3.
Save
Provides a collection of best practices for writing efficient and effective Python code. It covers topics such as code organization, testing, and debugging, making it a valuable resource for those who want to improve their Python programming skills.
Save
Provides a collection of recipes for solving common programming problems in Python 3. It covers topics such as data manipulation, web development, and machine learning, making it a valuable resource for those who want to learn how to use Python 3 for practical applications.
Is the official Python tutorial. It provides a comprehensive overview of the Python programming language, making it a valuable resource for those who want to learn the basics of Python.
Quick and easy introduction to the Python programming language. It covers the basics of Python, making it a great choice for beginners who want to learn the basics of programming.
Save
Comprehensive reference guide to the Python programming language. It provides a detailed overview of the language's syntax and features, making it a valuable resource for those who want to learn more about the Python programming language.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/h0i6x8/try
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Effort
1 to 2 hours per week for 1 week
Level
Introductory
Via
edX
Institution
The University of Texas at San Antonio
Language
English
Transcript
English
Good to know
Builds knowledge in Python, which is widely used in industry and academia
Provides a stepping stone to a career in data analysis by equipping learners with essential skills
No previous programming knowledge is required, making it accessible to beginners
Benefits a wide range of industries, including energy, finance, healthcare, marketing, IT, and retail
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