Description
Advanced Data Analysis and Wrangling with Python Pandas Course. Advanced Data Analysis and Discussion Course with Panda Python. This course from the Fantastic Python series is an advanced course on data manipulation and discussion using the Pandas package in Python. Pandas is one of the most important packages in the Python ecosystem and most data scientists spend 80% of their time using it. To be able to perform more effective and efficient analysis, a deep and thorough understanding of how Pandas works is essential. This course provides a complete guide to all areas of Pandas performance, from the basics to highly advanced and complex capabilities such as windowing and time series resampling. It teaches data scientists in all fields including IT, business, finance, etc. how to effectively manipulate and discuss data in Pandas and how to avoid potential pitfalls (“gotchas”). , The advanced sections of this course are particularly useful for analysts/scientists working with time series data (and panel data) as Pandas provides a wide range of functions for time series calculations. Therefore, finance professionals and physicists find it particularly relevant to their field of work. This course starts with the basics of data series and data frameworks, then moves on to intermediate level data manipulation, and finally to advanced data manipulation topics such as complex group operations, complex joins/joins, and wide to long and deep transformations . . will pay. Rather, a case study on the stock market is presented at the end as the cornerstone of the entire course. This case study combines most, if not all, of Panda’s knowledge areas and analyzes real-world financial data.
What you will learn in the Advanced Data Analysis and Wrangling with Python Pandas course
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Learn Python’s Pandas package for advanced data analysis and reasoning.
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Select and filter data
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Sort, count, unique, duplicate values
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Managing missing values
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Complex groupby (split-apply-combine)
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Manipulation of vector strings
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Vector manipulation of date and time
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Windows rolling process
This course is suitable for people who
- Data analysts and data scientists
- Anyone interested in manipulating and discussing serial data in Python
- Researchers in all areas
- Business analysts and marketing researchers
Course Specifications for Advanced Data Analysis and Wrangling with Python Pandas
- Editor: Udemy
- Lecturer: Richard Wang
- Training level: beginner to advanced
- Training duration: 15 hours and 29 minutes
- Number of courses: 121
Course headings
Course Prerequisites for Advanced Data Analysis & Wrangling with Python Pandas
- Some basic Python programming knowledge is required.
- I will teach you everything about pandas.
Course pictures
Sample video of the course
installation Guide
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Quality: 720p
Download link
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Size
14.8GB