Data Analysis with Pandas and Python is your ticket to gauging one of Python's most influential data analysis libraries. Packed with more than 19 hours of video instruction, this course is helpful for beginners and experienced users. From the basics of setting up to the complex area of Civil 3D advanced visualization, each lesson is planned to perfection and prepares learners to handle large data sets with immense ease.
While pandas are often called the “Excel on steroids,” they allow you to perform many data manipulation transformations such as sorting, filtering, grouping by, combining, aggregating, etc. If you are moving from spreadsheet software or want to improve your Python skills, this course- Data Analysis with Pandas and Python- helps unpack Pandas's plethora of methods and possibilities. Through examples and practice with actual data sets, you will see the essence of the Pandas obtained in terms of usability and speed.
Access a plethora of data sets that are given together with the course material, and observe the change in your data analysis strength. Whether you are just entering a data analysis field now or want to extend your experience with such a powerful tool as Pandas, Data Analysis with Pandas and Python is your all-in-one solution.
Data Analysis with Pandas and Python Table of Contents:
- Learn a great variety of data operations in the world’s most respected pandas library, including grouping, pivoting, joining data, and more.
- Discover how to use hundreds of functions and features in pandas objects to filter
data effectively. - Introduce and hone comprehensive and well-refined abilities for working with 1D, 2D, and 3D databases.
- Acquire the skill of handling basic problematic scenarios that arise in either fragmented or partially completed datasets to output well-structured and analytical data.
Who is this course for?
- It is appropriate for data analysts, business analysts, and anyone who uses Excel for data analysis and wants to improve their skills.
- It is most suitable for those who are working on migrating from a spreadsheet application to a more effective tool for data processing.
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