Understanding what data analysis is, how it can assist work and production, its application in decision-making, and the course covers fundamental knowledge of data analysis, including basic statistics and the implementation of specific models. By learning Python programming, trainees can get started and implement relevant data analysis algorithms. Combined with specific algorithmic models of data analysis, the course enables trainees to conceptualize practical data analysis scenarios based on their actual situations, leveraging data to achieve intelligent and efficient production, work, and decision-making.
Type
Face-to-face training
Duration
2 days
Language
zh
Target Group
Personnel who develop data analysis algorithms using Python programming and techniques from fields such as statistics, machine learning, and deep learning
Content
Basic Definition of Data Analysis
Data Collection and Storage
Data Quality and Data Cleaning
Basic Methods of Data Exploration
Fundamentals of Statistics
Descriptive Statistics and Inferential Statistics
Common Methodologies of Data Analysis
Fundamental Concepts of Machine Learning
Linear Regression and Classification Models
Fundamentals of Deep Learning
Autoencoder
Prerequisites
Familiar with data processing and analysis tools, solid foundation in mathematics and statistics, and experience in the manufacturing industry
