Description
Data Cleaning with Pandas is a course on how to transform messy, inconsistent datasets into clean, analysis-ready data using Python and Pandas, published by LinkedIn Online Academy. This course is suitable for data analysts, data scientists, Python developers, and anyone who works with structured data. It covers essential DataFrame operations in Pandas, data selection and filtering, data type conversion, removing duplicate and sparse data, handling missing values, detecting outliers, date and time processing, and text cleaning with regular expressions. It treats data cleaning as a standalone discipline, not a quick introductory step. Learners start with the core fundamentals of DataFrames and practice how to carefully select rows and columns, whether to extract specific subsets of data or filter based on conditions relevant to real-world analysis tasks. The course then moves on to sorting, mapping, and working with batch data, skills that help organize datasets logically and prepare batch fields for more efficient subsequent analysis.
A significant portion of the course addresses one of the most common real-world data problems: duplicate and sparse data. Learners learn how to identify and remove duplicate records without accidentally deleting valid data, along with techniques for handling sparse columns that contain too little useful information to be reliable. Missing data also receives special attention, and learners explore various strategies for detecting, understanding, and managing gaps in a dataset depending on the context and subsequent use of the data. Beyond these core cleaning tasks, the course also covers data type conversion to ensure columns perform as expected during analysis, outlier detection to identify values that can skew results, and date and time processing for datasets that contain timestamps or timing information. Text cleaning with regular expressions rounds out the course, giving learners the tools they need to standardize and correct messy string data. Throughout the course, learners work with real datasets and exercises, building practical skills that they can immediately apply to their own data cleaning challenges.
What you will learn in Data Cleaning with pandas:
- Pandas (software)
- Python (programming language)
- Data cleaning
- And …
Course specifications
Publisher: LinkedIn
Instructors: Anaconda, Inc
Language: English
Level: Intermediate
Number of Lessons: 25
Duration: 3h 5m
Course topics
Data Cleaning with pandas Prerequisites
None
Pictures
Data Cleaning with pandas introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
726 MB