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⇱ Python 101 - From Noob to Nerd | Coursera

Python 101 - From Noob to Nerd

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Python 101 - From Noob to Nerd

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Learn how to set up Python environments and IDEs for smooth development

  • Master essential programming concepts like loops, functions, and conditional statements

  • Understand Python’s data structures such as lists, tuples, dictionaries, and sets

  • Gain practical experience with Pandas for data processing and analysis

Details to know

Shareable certificate

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Assessments

4 assignments

Taught in English

There are 3 modules in this course

This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Python 101 - From Noob to Nerd is a comprehensive course designed to take you from a beginner to a confident Python programmer. You’ll start by exploring Python's history, its practical applications, and its integration with data analytics. As you move forward, you'll become proficient in essential programming concepts such as conditional logic, loops, and the use of Python's data structures including lists, dictionaries, and sets. This course also focuses on advanced topics like working with data frames using the Pandas library, making it perfect for anyone looking to apply Python in real-world scenarios. The course begins with setting up your Python environment and progresses through the fundamental programming concepts necessary for building dynamic applications. By using hands-on exercises and examples, you will gain confidence and understanding of Python's flow, control statements, and its versatile data structures. From simple loops to advanced data manipulation with Pandas, the course provides a well-rounded foundation for data processing in Python. This course is perfect for anyone looking to dive into programming, data science, or data analytics. Whether you're a complete beginner or someone looking to formalize your understanding of Python, you’ll find this course accessible and engaging. No prior programming experience is required. By the end of the course, you will be able to set up Python environments, write functions, manipulate data using data structures, process data with Pandas, and understand Python's role in the world of data analytics.

In this module, we will introduce Python and its transformative role in programming. You'll learn to set up Python for your development environment, laying the foundation for coding success. Additionally, we'll dive into conditional logic, demonstrating how Python makes decisions using practical, real-world examples.

What's included

4 videos1 reading

4 videos•Total 33 minutes
  • Introduction to Python and Programming•7 minutes
  • Setting Up Python•3 minutes
  • Getting Started with Programming•12 minutes
  • Conditional Logic in Python•12 minutes
1 reading•Total 10 minutes
  • Full Course Resources•10 minutes

In this module, we will guide you through the essential concepts of Python programming, including mastering loops for dynamic results and delving into Python's key data structures. You'll also learn how to efficiently store and retrieve data using dictionaries, setting the stage for more advanced coding skills.

What's included

4 videos1 assignment

4 videos•Total 128 minutes
  • Python Loops•34 minutes
  • Introduction to Python Data Structures•28 minutes
  • Python Dictionaries•40 minutes
  • Advanced Concepts with Data Structures•26 minutes
1 assignment•Total 15 minutes
  • Introduction to Programming - Assessment•15 minutes

In this module, we will explore the power of Python functions to enhance code efficiency and reusability. You'll also dive into the Pandas library for data analysis, learning how to handle large datasets and process them through DataFrames. This section focuses on equipping you with the skills needed for advanced data manipulation in Python.

What's included

4 videos3 assignments

4 videos•Total 284 minutes
  • Python Functions•40 minutes
  • Introduction to Pandas•72 minutes
  • Working with Dataframes•92 minutes
  • Data Processing with Pandas•79 minutes
3 assignments•Total 90 minutes
  • Data Processing with Python - Assessment•15 minutes
  • Full Course Assessment•60 minutes
  • Full Course Practice Assessment•15 minutes

Instructor

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Frequently asked questions

Python 101 is an introductory course to the Python programming language, designed to equip beginners with foundational knowledge in coding. Python is widely used across various industries due to its versatility, simplicity, and powerful libraries. Whether you're interested in data science, web development, or automation, learning Python opens up endless opportunities in the tech field.

This course is designed to teach beginners the basics of Python programming. It covers essential topics such as programming fundamentals, Python syntax, data structures, and data processing using Python libraries like Pandas. With hands-on practice, learners will gain a solid understanding of Python's potential and how to write practical programs.

Upon completing this course, you'll be able to write Python programs, work with data structures such as lists, tuples, and dictionaries, and use functions to organize code. You will also be proficient in basic data processing with Pandas, making it easier to manipulate and analyze datasets for real-world applications.

This course is intended for absolute beginners. No prior programming experience is required, though familiarity with basic computer functions and an interest in learning programming concepts will be helpful.

This course is perfect for anyone interested in learning Python, especially beginners who want to get started with programming. It's ideal for aspiring data analysts, software developers, or anyone looking to understand how to work with data and automate tasks using Python.

The course lasts approximately 7 hours and 25 minutes, making it a manageable commitment for learners to complete at their own pace.

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

This course is currently available only to learners who have paid or received financial aid, when available.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,