Processing Data with Python
Create a Pandas DataFrame
Clean Data using Pandas
Perform Statistics on Data
Processing data is used in virtually every field these days. It is used for analyzing web traffic to determine personal preferences, gathering scientific data for biological analysis, analyzing weather patterns, business practices, and on. Data can take on many different forms and come from many different sources. Python is an open-source (free) programming language that is used in web programming, data science, artificial intelligence, and many scientific applications. It has libraries that can be used to parse and quickly analyze the data in whatever form it comes in, whether it be in XML, CSV, or JSON format. Data cleaning is an important aspect of processing data, particularly in the field of data science. 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:
Create a Pandas DataFrame
Read Data from Files
Cleaning Data
Data Analysis
Data Subset
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 PROCESSING DATA WITH PYTHON
Yes, the project/course with respect to its length was helpful. Check out more learnable amazing skills regarding programming: https://www.youtube.com/channel/UCdNOTa62J6j1109NQfxHqdg/playlists
Instructor Explains very well in the programming part and as well as project guidance thank you Coursera for offering such a wonderful Lectures and project tutorials Thank you once again
its nice course good opportunity to learn a small thing to create a grate objective
Good choice if anyone wants to get started with Pandas and data processing.
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