"Python Data Analysis and Application (Second Edition) (Micro-class Edition)" is a national planning textbook for vocational education during the "14th Five-Year Plan" and a series of textbooks supporting the "1+X" vocational skill level certificate for big data application development. It is task-oriented, comprehensively introduces the process and application of data analysis, and explains in detail how to use Python to solve practical problems in enterprises. The content includes related knowledge such as the concept of data analysis, common libraries and applications of Pyhton data analysis, covering NumPy, pandas, scikit-learn, Matplotlib, seaborn and pyecharts.
"Python Data Analysis and Application (Second Edition) (Micro-Lecture Edition)" book introduction:
1. This book is a nationally planned textbook for vocational education during the "14th Five-Year Plan" period. The teaching material is oriented to the core course of the "Data Analysis and Development" post of big data technology majors, fully integrated into the technical standard requirements of the National Vocational College Big Data Technology and Application Competition and the Teddy Cup Data Analysis Skills Competition, and belongs to the supporting books for the "1+X" vocational skill intermediate certificate of big data application development (Python), and can also be used as a teaching material for big data technology-related majors in colleges and universities. The book was first published in 2018 and will be upgraded and revised in 2021. It has been welcomed by teachers and students, and the circulation has exceeded 60,000 copies.
2. This book adopts a task-oriented integrated writing mode of theory and practice. Pay attention to the cultivation of students' practical ability, take solving practical problems as the learning goal, and use actual combat cases as the learning method. It comprehensively introduces the process of data analysis and the application of Pyhton data analysis library, and explains in detail how to use Pyhton to solve practical problems of enterprises. The book is divided into 10 content modules, 35 learning tasks, and 25 practical training tasks. It includes the concept of data analysis and other related knowledge, common libraries and applications of Pyhton data analysis, covering NumPy numerical calculation, pandas statistical analysis, using pandas for data preprocessing, using scikit-learn to build models, as well as Matplotlib, seaborn and pyecharts data visualization, enterprise comprehensive case data analysis and big data mining modeling platform and other technologies and cases.
3. This book is matched with rich and practical teaching resources. The textbook is equipped with 40 micro-class teaching videos, 20 PPTs and teaching plans, documents, source code and other resources. At the same time, each chapter includes practical training and after-school exercises, which is convenient for teachers to teach and help readers consolidate the knowledge and skills they have learned and conduct self-study.
"Python Data Analysis and Application (Second Edition) (Micro Course Edition)" Book Catalog:
Chapter 1 Overview of Python Data Analysis
Chapter 2 NumPy Numerical Computing Basics
Chapter 3 The Basics of Pandas Statistical Analysis
Chapter 4 Data Preprocessing Using Pandas
Chapter 5 Matplotlib, seaborn, pyecharts Data Visualization Basics
Chapter 6 Using scikit-learn to Build Models
Chapter 7 Competition Website User Behavior Analysis Chapter 8
Corporate Income Tax Prediction and Analysis Chapter
9 Catering Enterprise Customer Churn Prediction Chapter
10 Customer Churn Prediction Based on TipDM Data Mining Modeling Platform