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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 Central Florida. If you enroll in this Try It, your learner data will not be shared with the University of Central Florida 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/kxmpeu/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
Suitable for beginners and self-directed learners with no background in Python
Provides practical applications of Python in various industries
Introduces core programming concepts and syntax, making it a good foundation for further learning
May not cover advanced topics or specialized knowledge required for professional development
Suitable for those exploring Python as a hobby or for personal interest
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Try It: Intro to Python.
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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
Data Analysts collect, analyze, and interpret data to help organizations make informed decisions. They use a variety of statistical and programming tools to identify trends and patterns in data. Many industries employ Data Analysts, such as healthcare, finance, and marketing. This course may be useful for building a foundation in programming and data analysis concepts, such as data manipulation and visualization, which can be helpful for those interested in a career as a Data Analyst.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to help organizations make informed decisions. They use a variety of statistical and programming tools to identify trends and patterns in data. Many industries employ Statisticians, such as healthcare, finance, and marketing. This course may be useful for building a foundation in programming and data analysis concepts, such as data manipulation and visualization, which can be helpful for those interested in a career as a Statistician.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models to solve complex problems. They use a variety of programming and machine learning techniques to build models that can learn from data and make predictions. Many industries employ Machine Learning Engineers, such as tech companies, financial institutions, and healthcare organizations. This course may be useful for building a foundation in programming and machine learning concepts, which can be helpful for those interested in a career as a Machine Learning Engineer.
Data Scientist
Data Scientist
Data Scientists use their knowledge of programming, mathematics, and statistics to extract insights from data. They develop algorithms and models to help companies make better decisions. Many industries employ Data Scientists, such as healthcare, finance, and retail. This course may be useful for building a foundation in programming and data science concepts, such as data analysis and machine learning, which can be helpful for those interested in a career as a Data Scientist.
Financial Analyst
Financial Analyst
Financial Analysts use their knowledge of finance and economics to evaluate investments and make recommendations to clients. They use a variety of financial tools and models to analyze financial data. Many industries employ Financial Analysts, such as investment banks, asset management firms, and insurance companies. This course may be useful for building a foundation in programming and data analysis concepts, which can be helpful for those interested in a career as a Financial Analyst.
Big Data Architect
Big Data Architect
Big Data Architects design and implement big data solutions. They use a variety of big data technologies and tools to build data pipelines and data lakes that can handle large volumes of data. Many industries employ Big Data Architects, such as tech companies, financial institutions, and healthcare organizations. This course may be useful for building a foundation in programming and big data concepts, which can be helpful for those interested in a career as a Big Data Architect.
Software Developer
Software Developer
Software Developers design, develop, and maintain software applications. They use a variety of programming languages and tools to build software that meets the needs of users. Many industries employ Software Developers, such as software companies, IT consulting firms, and financial institutions. This course may be useful for building a foundation in programming concepts and principles that can support beginning-level work in this field.
Computer Programmer
Computer Programmer
Computer Programmers write and test code that allows computer applications and software programs to run. Many different industries hire Computer Programmers, including software companies, IT consulting firms, government agencies, and financial institutions. This course may be useful for building a foundation in programming concepts and principles that can support beginning-level work in this field.
Computer Systems Analyst
Computer Systems Analyst
Computer Systems Analysts analyze and design computer systems, including hardware, software, and networks. They also evaluate the performance of systems and recommend improvements. Many industries employ Computer Systems Analysts, such as government agencies, IT consulting firms, and financial institutions. This course may be useful for building a foundation in programming concepts, such as variables, functions, and conditionals, which can be helpful for those interested in understanding how computer systems work.
Data Warehouse Architect
Data Warehouse Architect
Data Warehouse Architects design and implement data warehouse solutions. They use a variety of data management tools and technologies to build data warehouses that meet the needs of users. Many industries employ Data Warehouse Architects, such as financial institutions, healthcare organizations, and government agencies. This course may be useful for building a foundation in programming and data management concepts, which can be helpful for those interested in a career as a Data Warehouse Architect.
Data Warehouse Manager
Data Warehouse Manager
Data Warehouse Managers plan and maintain data warehouses. They use a variety of data management tools to ensure that data is accurate, consistent, and accessible. Many industries employ Data Warehouse Managers, such as financial institutions, healthcare organizations, and government agencies. This course may be useful for building a foundation in programming and data management concepts, which can be helpful for those interested in a career as a Data Warehouse Manager.
Software Engineer
Software Engineer
Software Engineers apply engineering principles to the design, development, and maintenance of software systems. They use a variety of programming languages and tools to build software that meets the needs of users. Many industries employ Software Engineers, such as software companies, IT consulting firms, and financial institutions. This course may be useful for building a foundation in programming concepts and principles that can support beginning-level work in this field.
IT Consultant
IT Consultant
IT Consultants help organizations plan, implement, and manage their IT systems. They use their knowledge of technology and business to help organizations improve their efficiency and productivity. Many industries employ IT Consultants, such as IT consulting firms, software companies, and government agencies. This course may be useful for building a foundation in programming and IT concepts, which can be helpful for those interested in a career as an IT Consultant.
Web Developer
Web Developer
Web Developers design, develop, and maintain websites. They use a variety of programming languages and tools to build websites that meet the needs of users. Many industries employ Web Developers, such as web design firms, software companies, and marketing agencies. This course may be useful for building a foundation in programming concepts and principles that can support beginning-level work in this field.
For more career information including salaries, visit:
OpenCourser.com/course/kxmpeu/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.
Practical introduction to Python programming, covering basic concepts like variables, functions, and conditionals, and providing numerous examples of how to use Python to automate tasks.
Save
Provides a comprehensive introduction to computer science and programming using Python, emphasizing problem-solving and critical thinking skills.
Provides a comprehensive introduction to machine learning and deep learning using Python, scikit-learn, and TensorFlow 2, making it a valuable resource for anyone interested in these fields.
Fast-paced introduction to Python programming, covering a wide range of topics from basic syntax to advanced concepts like object-oriented programming.
Save
Deep dive into Python programming, providing insights into the language's design and implementation, and offering advanced techniques for writing efficient and maintainable code.
Comprehensive guide to using Python for data analysis, covering topics such as data manipulation, visualization, and machine learning.
Practical guide to deep learning using Python and Keras, providing hands-on tutorials and examples for building and training deep learning models.
Provides a comprehensive guide to using Python for bioinformatics, covering topics such as sequence analysis, phylogenetics, and genome-wide association studies.
Save
Provides a comprehensive guide to using Python for financial modeling and analysis, covering topics such as time series analysis, portfolio optimization, and risk management.
Save
Uses a visual and engaging approach to teach Python programming, making it a good choice for beginners or those who prefer a more interactive learning experience.
Save
Classic textbook for introductory computer science courses, using Python as the programming language. It provides a thorough foundation in programming concepts and algorithms.
Comprehensive reference for Python programming, covering a wide range of topics from basic syntax to advanced concepts like concurrency and web development.
Save
Provides practical advice and best practices for writing clean, efficient, and maintainable Python code, making it a valuable resource for experienced Python developers.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/kxmpeu/try
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Effort
1 to 2 hours per week for 1 week
Level
Introductory
Via
edX
Institution
University of Central Florida
Language
English
Transcript
English
Good to know
Suitable for beginners and self-directed learners with no background in Python
Provides practical applications of Python in various industries
Introduces core programming concepts and syntax, making it a good foundation for further learning
May not cover advanced topics or specialized knowledge required for professional development
Suitable for those exploring Python as a hobby or for personal interest
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