Description
Data Cleaning and Preprocessing using Python is a course on how to prepare raw data for analysis and machine learning published by Udemy Online Academy. This is a hands-on course designed to teach people how to prepare raw data for analysis and machine learning. The course covers essential techniques for handling missing values, removing duplicates, correcting inconsistencies, standardizing data formats, and transforming data for modeling. You will learn how to use Python libraries such as Pandas and NumPy to efficiently manipulate datasets, perform feature scaling, encoding and normalization, and apply data validation and quality checks.
Key points include handling missing and inconsistent data, removing duplicates and errors, standardizing data formats, performing feature scaling and normalization, encoding categorical variables, using Python libraries such as Pandas and NumPy for data manipulation, validating and checking data quality, transforming data for machine learning, preparing datasets for analysis, and developing efficient and repeatable data preprocessing workflows. In the end, individuals will gain the skills to effectively clean, preprocess, and structure data, ensuring accurate and reliable analysis or model training.
What you will learn in Data Cleaning and Preprocessing using Python:
- Python Programming Fundamentals – Data Types, Operators, Data Structures, and Control Flow Structures.
- Detect and handle errors, remove duplicate records, and handle missing values
- Adapt variables to appropriate formats for analysis, ensuring consistency and consistency between them
- Combine data from different sources into a single dataset
- Data reduction, which involves simplifying the dataset while preserving the most relevant information
- Properly organize and structure the dataset in a format compatible with the analysis or model to be developed
- How to apply simple and advanced techniques to perform these data cleaning and preprocessing steps using Python
- And …
Course specifications
Publisher: Udemy
Instructors: IT Phd Rocio Chavez
Language: English
Level: Introductory to Advanced
Number of Lessons: 114
Duration: 8 hours and 6 minutes
Course topics
Data Cleaning and Preprocessing using Python Prerequisites
No programming experience nor statistical knwoledge needed
Pictures
Data Cleaning and Preprocessing using Python introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
2.1 GB
