Pandas Python Library for Beginners in Data Science
Learn how to clean data using pandas.
Learn how to do basic data preprocessing.
Learn how to handle quantitative data (numeric data) and qualitative data (text data) with pandas.
Note 1: As a beginner you are not yet ready to work with real world data. So real world data is not used in this project. Note2 : If you are already familiar with pandas and want to work with real world data, check out the intermediate course here: https://www.coursera.org/projects/intermediate-pandas-python-library-data-science Note 3: Pandas is not used for development. It was designed purely for data manipulation. So you will not build anything during the course of this project. Note 4: The video content is meant to be within an hour as per Coursera's guidlines. It is meant to demonstrate coding. The theory is covered in detail in the reading module titled "Project Summary"provided after the video content. Note 5: Make sure you read the "Project Summary" before attempting the final quiz. This guided project is for college students or those who have not heard of pandas before and want to learn about the syntax in pandas, one of the most important python libraries for data analysis. By the end of this project, you will master the basics of pandas. You will be able to gain insight into the data, clean it, and do basic preprocessing to get the most value out of your data. Special Features: 1) This project provides plenty of challenges with solutions to encourage you to practice using pandas. 2) Libraries are automatically imported each time you begin a new session. Just open the project and start learning! 3) The real world applications of each function is explained. 4) After you complete this project, you get a jupyter notebook of all the work you covered (including gifs). It acts as a useful learning tool that you can refer to at any time in the future. 5) Best practices and tips are provided to ensure that you learn how to use pandas efficiently. 6) Animated gifs are used to aid in the learning process. 7) Important terminology and definitions are explained. 8) Simple language is used throughout the project, so that you can focus on coding. (Eg: Quantitative data is referred to simply as numeric data.) Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Skills you will develop
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Three methods of creating a series.
Two methods of creating data frames.
Importing/exporting different types of data files and viewing rows.
Get a summary of the data & view column names and data types.
Calculate mean & cumulative sum. Determine minimum & maximum values.
String operations such as converting to uppercase letters , lowercase letters, swap case, finding the length of a string, splitting strings and detecting unique values.
Repeating strings.
How Guided Projects work
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
Reviews
TOP REVIEWS FROM PANDAS PYTHON LIBRARY FOR BEGINNERS IN DATA SCIENCE
For an hour of python coding, I think this is perfect, but it could have been a bit longer and introduced to some complex topics.
the moment when the instructor mentioned "challenge time"...will be signing up for the intermediate project
Course for beginners. Just enough introduction of the topic. Prerequisites: Python, Basic Statistics.
The course could have been more detailed about the methods and functions we use.
Frequently asked questions
Frequently Asked Questions
What will I get if I purchase a Guided Project?
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Are Guided Projects available on desktop and mobile?
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Who are the instructors for Guided Projects?
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
Can I download the work from my Guided Project after I complete it?
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
What is the refund policy?
Guided Projects are not eligible for refunds. See our full refund policy.
Is financial aid available?
Financial aid is not available for Guided Projects.
Can I audit a Guided Project and watch the video portion for free?
Auditing is not available for Guided Projects.
How much experience do I need to do this Guided Project?
At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Can I complete this Guided Project right through my web browser, instead of installing special software?
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
What is the learning experience like with Guided Projects?
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
More questions? Visit the Learner Help Center.
