Intermediate Pandas Python Library for Data Science
Learn the advanced methods to handle missing values.
Learn how to sort, select and slice data for easier manipulation.
Learn about different types of joins, sorting and binning data.
Note : Pandas is not used for development. So you will not build anything during the course of this project. This guided project is for those who are familiar with pandas for data analysis, but want to really harness the power of pandas by learning more complex operations. While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning. Special Features: 1) Work with real-world data. 2) Detailed variable description booklet provided. 3) This project provides plenty of challenges with solutions to encourage you to practice using pandas. 4) Libraries are automatically imported and the dataset is automatically split into subsets, each time you begin a new session. Just open the project and start learning! 5) The real-world applications of each function are explained. 6) Best practices and tips are provided to ensure that you learn how to use pandas efficiently. 7) Animated gifs are used to aid in the learning process. 8) Important terminology and definitions are explained. 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:
Splitting of data into subsets.
Imputation and interpolation of missing values.
Sorting by columns and ranges.
Selecting and slicing data.
Joining, Concatenation & Advanced Joins
Grouping, calculation of aggregate and binning.
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 INTERMEDIATE PANDAS PYTHON LIBRARY FOR DATA SCIENCE
This instructor is great! Simplifies the concepts and provides useful challenges that are relevant to the topics covered. Second project with her, looking forward to the next as well
Great course but it has one error in the final challenge where the instructions in the video do not match the instructions on the notebook.
Good course. Learned a few new tricks of pandas python library for data science. Great examples. Thanks for teaching the course.
interesting use of virtual environment, the teachings were too brief in my opinion
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