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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 Case Western Reserve University. If you enroll in this Try It, your learner data will not be shared with Case Western Reserve University 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/hao5or/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
Teaches Python for beginners with no previous programming knowledge
Covers a wide range of Python applications, from data analysis to web development
Provides a foundation for careers in data analysis, financial analysis, data science, and more
Introduces the basic concepts of programming, such as functions, variables, and conditional logic
Uses a hands-on approach with simple programs and coding exercises
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Activities
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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, clean, and analyze data to identify patterns and trends. They use their findings to make recommendations to businesses on how to improve their operations. This course can help you develop the skills you need to become a Data Analyst, such as how to use Python for data analysis and visualization.
Web Developer
Web Developer
Web Developers design and develop websites. They use their knowledge of programming languages and web technologies to create websites that are both visually appealing and functional. This course can help you develop the skills you need to become a Web Developer, such as how to use Python for web development.
Data Scientist
Data Scientist
Data Scientists use their knowledge of statistics, machine learning, and data analysis to extract insights from data. They use their findings to help businesses make better decisions. This course can help you develop the skills you need to become a Data Scientist, such as how to use Python for data analysis and machine learning.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. They use their knowledge of machine learning algorithms and programming languages to create models that can learn from data and make predictions. This course can help you develop the skills you need to become a Machine Learning Engineer, such as how to use Python for machine learning.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their knowledge of programming languages and software engineering principles to create software that meets the needs of users. This course can help you develop the skills you need to become a Software Engineer, such as how to use Python for software development.
Statistician
Statistician
Statisticians use their knowledge of statistics and probability to analyze data and draw conclusions. They use their findings to help businesses make better decisions. This course can help you develop the skills you need to become a Statistician, such as how to use Python for statistical analysis.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use their knowledge of mathematics and statistics to analyze business problems and develop solutions. They use their findings to help businesses make better decisions. This course can help you develop the skills you need to become an Operations Research Analyst, such as how to use Python for operations research.
Business Analyst
Business Analyst
Business Analysts use their knowledge of business and technology to analyze business processes and identify opportunities for improvement. They use their findings to make recommendations to businesses on how to improve their operations. This course can help you develop the skills you need to become a Business Analyst, such as how to use Python for data analysis and visualization.
Financial Analyst
Financial Analyst
Financial Analysts use their knowledge of finance and economics to analyze financial data and make recommendations to businesses on how to invest their money. This course can help you develop the skills you need to become a Financial Analyst, such as how to use Python for financial data analysis.
Risk Analyst
Risk Analyst
Risk Analysts use their knowledge of statistics and risk management to analyze risks and make recommendations to businesses on how to mitigate them. This course can help you develop the skills you need to become a Risk Analyst, such as how to use Python for risk analysis.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. They use their knowledge of big data technologies and programming languages to create pipelines that can collect, clean, and store data. This course can help you develop the skills you need to become a Data Engineer, such as how to use Python for data engineering.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use their knowledge of mathematics, statistics, and programming to analyze financial data and make recommendations to businesses on how to invest their money. This course can help you develop the skills you need to become a Quantitative Analyst, such as how to use Python for financial data analysis.
Actuary
Actuary
Actuaries use their knowledge of mathematics and statistics to analyze risks and make recommendations to businesses on how to manage them. This course can help you develop the skills you need to become an Actuary, such as how to use Python for actuarial science.
Market Research Analyst
Market Research Analyst
Market Research Analysts use their knowledge of statistics and research methods to analyze market data and make recommendations to businesses on how to improve their marketing strategies. This course can help you develop the skills you need to become a Market Research Analyst, such as how to use Python for market research.
Technical Writer
Technical Writer
Technical Writers create and edit technical documentation, such as user manuals, white papers, and training materials. This course can help you develop the skills you need to become a Technical Writer, such as how to use Python for technical writing.
For more career information including salaries, visit:
OpenCourser.com/course/hao5or/try
Reading list
We've selected 14 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
Think Python comprehensive introduction to Python programming. It is suitable for both beginners and experienced programmers who want to learn about Python.
Save
Collection of Python recipes that solve common programming problems. It useful reference for Python programmers of all levels.
Python Crash Course is an excellent resource for those new to Python programming. The book provides hands-on exercises to help learners understand the concepts.
Learn Python the Hard Way challenging but effective way to learn Python programming. It is suitable for those willing to put in the effort to learn Python.
Guide to the Python standard library. It provides examples of how to use the standard library to solve common programming problems.
Save
Guide to writing clear, concise, and effective Python code. It is suitable for experienced Python programmers who want to improve their coding style.
Save
Uses a humorous approach to teach Python in a beginner-friendly way. It is especially useful for individuals with no prior programming experience who want to learn Python.
Introduces machine learning concepts and techniques using Python. It is suitable for readers with some programming experience interested in machine learning.
Guide to testing Python code with pytest. It is suitable for Python programmers who want to learn how to write and use tests.
Focuses on practical applications of Python. It teaches readers how to automate tasks and solve problems using Python scripts.
Guide to deep learning using Python. It covers the basics of deep learning and how to implement deep learning models.
Save
Provides practical advice on how to write better Python code. It is suitable for experienced Python programmers who want to improve their coding skills.
Save
Python for Everybody free online textbook that teaches Python programming. It is suitable for beginners who want to learn the basics of Python.
Guide to using Python for data analysis. It covers data manipulation, visualization, and statistical modeling.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hao5or/try
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Effort
1 to 2 hours per week for 1 week
Level
Introductory
Via
edX
Institution
Case Western Reserve University
Language
English
Transcript
English
Good to know
Teaches Python for beginners with no previous programming knowledge
Covers a wide range of Python applications, from data analysis to web development
Provides a foundation for careers in data analysis, financial analysis, data science, and more
Introduces the basic concepts of programming, such as functions, variables, and conditional logic
Uses a hands-on approach with simple programs and coding exercises
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