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Introduction to Python

In today’s society, uses for new technologies are broadening in scope and revolutionizing the world. Many new technologies automate redundant tasks so people may complete tasks of greater priority. These new automated technologies depend on the constant innovation of software. To develop software that can increase our efficiency and change the world for the better, it is vital to understand how to code using different programming languages. This specialization introduces the basics of the Python programming language and teaches how to implement solutions to real-world problems using Python syntax. Topics in this course range from utilizing integrated development environments (IDEs) to implementing Python syntax in scripts. Some of the position titles that may benefit from this course are computer scientist, computer engineer, software engineer, software developer, software tester, electrical engineer, mechanical engineer, chemical engineer and aerospace engineer.

You do not need programming or computer science experience to learn the material in this course. This course is open to anyone who is interested in learning how to code and write programs in Python. We are very excited that you will be learning with us and hope you enjoy the course!

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What's inside

Syllabus

Specialization Introduction

Module 1: Course Introduction

This course covers the basics of Python and provides you with knowledge to solve real-world problems using Python.

Module 2: Input-Output Process in Python

In this module, you will learn what input and output data are, how to handle input and output data, how to work with data of different data types, how to process data using arithmetic operators, and how to display output.

Module 3: Control Structures in Python

In this module, you will learn how to manipulate control structures to make decisions when handling data and will learn how to use loops to eliminate the need to perform redundant tasks.

Module 4: How to Implement Functions in Python

In this module, you will learn how to create functions to make code more modular and to complete tasks used many times in programs.

Good to know

Know what's good

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Suitable for learners with no background in programming or computer science

Designed for students interested in computer science, software engineering, and related fields

Introduces foundational concepts of Python programming language, equipping learners with problem-solving skills

Covers essential topics such as input-output operations, control structures, and functions, providing a strong foundation in Python

Instructed by Adwith Malpe, an experienced professional in the field, ensuring up-to-date knowledge and industry insights

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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 Introduction to Python with these activities:

Improve coding skills

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Gain proficiency through structured guidance.

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Enroll in online tutorials for supplemental instruction.
Seek out coding challenges and participate in online forums.

Effective Python

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Enhance Python knowledge by reading a highly-rated book.

View Effective Python: 90 Specific Ways to Write... on Amazon

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Read the book thoroughly.
Take notes and highlight key concepts.
Work through the practice exercises.

Beginner Python project

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Gain hands-on experience by starting a project.

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Choose a simple project that you can complete in a short amount of time.
Break the project down into smaller tasks.
Write the code for each task.
Test and debug your code.

Four other activities

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Practice assignments

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Simplify complex code into simpler terms by working through problems.

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Break down complicated program logic into smaller, manageable chunks.
Explain each section of the code to yourself to ensure comprehension.
Code each step by hand to improve your understanding.

Debug Practice

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Learn to identify and correct errors in code.

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Examine error messages to discover the source of the issue.
Use debugging tools to step through code.
Utilize print statements to observe variable values during runtime.

Coding assistance

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Practice Python skills in a practical setting.

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Volunteer as a coding tutor or mentor.
Contribute to open-source projects.

Python project

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Build a project to demonstrate proficiency.

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Develop a project idea that aligns with your interests and the course material.
Research and gather resources.
Implement your project using Python.
Test and debug your code.
Document your project and share it with others.

Career center

Learners who complete Introduction to Python will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers build and deploy machine learning models to solve real-world problems. The Python programming language is widely used in this field. By taking this course, you will develop a solid understanding of Python, including data manipulation, model building, and model evaluation. This knowledge will help you to succeed as a Machine Learning Engineer and contribute to the development of cutting-edge machine learning solutions.

See salaries and explore the career path for Machine Learning Engineer

Software Developer

Software Developers use Python to design, develop, and maintain software applications. This course in Python can help set you on your way to this career by teaching you the fundamentals of Python programming. You will learn how to write, test, and debug Python code, as well as gain experience using Python libraries and frameworks. These skills will provide you with a solid foundation for a successful career as a Software Developer.

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Data Scientist

A Data Scientist is a professional who leverages data and Python to solve complex business problems. This course in Python can help build a foundation for you to succeed in this role by teaching you the basics of Python, data manipulation, and data analysis. These skills will be essential as you work to develop and implement data-driven solutions to improve business outcomes.

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Web Developer

Web Developers create and maintain websites and web applications. One of the most popular programming languages for web development is Python. This course will introduce you to Python and teach you how to implement Python to develop web applications. The knowledge and skills you gain from this course will help you pursue a successful career as a Web Developer.

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Data Analyst

Data Analysts use data to make informed decisions. Python is a versatile language that is widely used for data analysis. This course will provide you with a solid foundation in Python, including data manipulation, data visualization, and statistical analysis. You will also learn how to use Python libraries and tools for data analysis. These skills will help you succeed as a Data Analyst and make a meaningful impact on organizations.

See salaries and explore the career path for Data Analyst

Financial Analyst

Financial Analysts use data to make informed decisions about investments and financial markets. The Python programming language is gaining popularity in this field. This course in Python will teach you the basics of Python and how to use it to perform financial analysis. You will learn how to use Python to collect, clean, and analyze financial data, as well as how to build financial models. These skills will be essential for success as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Business Analyst

Business Analysts use data to identify and solve business problems. Python is a powerful language that can be used for data analysis and visualization. This course in Python will introduce you to the basics of Python and teach you how to use it to perform data analysis relevant to business. You will learn how to use Python to collect, clean, and analyze data, as well as how to create visualizations to communicate your findings. These skills will help you be successful as a Business Analyst and make a positive impact on organizations.

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Operations Research Analyst

Operations Research Analysts use data to improve the efficiency of organizations. Python is a valuable tool for this field. This course in Python will provide you with a solid foundation in Python and teach you how to use it to solve operations research problems. You will learn how to use Python to model and simulate systems, as well as how to optimize solutions. These skills will help you be successful as an Operations Research Analyst and make a significant impact on organizations.

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Actuary

Actuaries use data to assess risk and uncertainty. Python is increasingly being used in this field. This course in Python will introduce you to the basics of Python and teach you how to use it to perform actuarial calculations. You will learn how to use Python to model and simulate risk, as well as how to calculate premiums and reserves. These skills will help you be successful as an Actuary and make a meaningful impact on organizations.

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Statistician

Statisticians use data to make informed decisions. Python is a powerful language that can be used for statistical analysis. This course in Python will introduce you to the basics of Python and teach you how to use it to perform statistical analysis. You will learn how to use Python to clean and manipulate data, as well as how to perform statistical tests and create visualizations. These skills will help you succeed as a Statistician and make a valuable contribution to organizations.

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Quantitative Analyst

Quantitative Analysts use data to make investment decisions. Python is a widely used language in this field. This course in Python will teach you the basics of Python and how to use it to perform quantitative analysis. You will learn how to use Python to collect, clean, and analyze financial data, as well as how to build and evaluate financial models. These skills will help you succeed as a Quantitative Analyst and make a significant impact in the financial industry.

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Economist

Economists use data to analyze economic trends and make forecasts. Python is increasingly being used in this field. This course in Python will introduce you to the basics of Python and teach you how to use it to perform economic analysis. You will learn how to use Python to collect, clean, and analyze economic data, as well as how to build and evaluate economic models. These skills will help you succeed as an Economist and make a valuable contribution to society.

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Teacher

Teachers use a variety of methods to educate students. Python is becoming increasingly popular in education. This course in Python will help you to integrate Python into your teaching. You will learn how to use Python to create interactive lessons, simulations, and games. These skills will help you engage your students and make learning more fun and effective.

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Technical Writer

Technical Writers create documentation for software and other technical products. Python is often used to develop software documentation. This course in Python will provide you with the skills you need to write clear and concise documentation for Python projects. You will learn how to use Python to generate documentation, as well as how to write effective user guides and tutorials.

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Technical Support Specialist

Technical Support Specialists provide technical support to customers. Python is sometimes used to develop technical support tools. This course in Python will introduce you to the basics of Python and teach you how to use it to develop technical support tools. You will learn how to use Python to diagnose and resolve technical issues, as well as how to create user guides and tutorials.

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Reading list

We've selected 25 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 Introduction to Python.

Python Cookbook

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Python in a Nutshell great reference guide for Python programmers. provides a comprehensive overview of the Python programming language and can be used to help students learn about new features and syntax.

Introduction to Python

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What's inside

Syllabus

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Activities

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