Dapeng Big Data Analysis Baidu Cloud Download

Introduction to Dapeng Big Data Analysis Resources:

Course Catalog

├──BI (Business Intelligence) Tool Module (8.9 (20 sections)

| ├──【Section 10】DAX Functions (4)

| ├──【Section 11】DAX Functions (5)

| ├──【Section 12】DAX Functions (6)

| ├──【Section 13】DAX Functions (7)

| ├──【Section 14】Data Visualization (1)

| ├──【Section 15】Data Visualization (2)

| ├──【Section 16】Data Visualization (3)

| ├──【Section 17】Data Visualization (4)

| ├──【Section 18】PowerBI Practical Exercise (1)

| ├──【Section 19】PowerBI Practical Exercise (2)

| ├──【Section 1】Understanding PowerBI and PowerBI installation

| ├──【Section 20】PowerBI Practical Exercise (3)

| ├──【Section 2】Basic operations and data sources of PowerBI

| ├──【Section 3】PowerQuery(1)

| ├──【Section 4】PowerQuery(2)

| ├──【Section 5】PowerQuery(3)

| ├──【Section 7】DAX Functions (1)

| ├──【Section 8】DAX Functions (2)

| ├──【Section 9】DAX Functions (3)

| └──Recorded classes (10 sessions)

├──Excel Data Analysis and Visualization Module (30 sections) 6.28)

├──Linux+Data Warehouse Module (12.20 (25 sections)

| ├──【Section 10】Data Type DDL-DML

| ├──【Section 11】Hive data table operations

| ├──【Section 12】Hive Function Encyclopedia

| ├──【Section 13】UDF Operations in Hive

| ├──【Section 14】Practical analysis of e-commerce platform data projects (I)

| ├──【Section 15】Practical analysis of e-commerce platform data projects (Part 2)

| ├──【Section 16】Taobao user behavior data analysis

| ├──【Section 17】Use of Azkaban workflow scheduler in Hive

| ├──【Section 18】Practical application of Hive Azkaban project

| ├──【Section 19】Spark Memory Computing Framework

| ├──【Section 1】First introduction to Linux

| ├──【Section 20】Spark Resilient Distributed Dataset RDD

| ├──【Section 21】Spark RDD Operations

| ├──【Section 22】SparkSQL Operation

| ├──【Section 23】Spark DataFrame Operations

| ├──【Section 24】SparkSQL-Business Data Analysis Case

| ├──【Section 25】SparkSQL- Loan overdue user analysis case

| ├──【Section 2】Easy to get started with Linux for beginners

| ├──【Section 3】File system management and vim editor

| ├──【Section 4】User Rights and System Management

| ├──【Section 5】Remote file transfer and password-free login configuration

| ├──【Section 6】Big Data Takes Off

| ├──【Section 7】Hadoop environment construction

| ├──【Section 8】Hadoop command operation

| ├──【Section 9】Hive environment construction

| └──Recorded classes (10 sessions)

├──Python programming modules (9.22 (15 sections)

| ├──【Section 10】Class inheritance

| ├──【Section 11】Python Comprehensive Case Study (I)

| ├──【Section 12】Python Comprehensive Case Study (Part 2)

| ├──【Section 13】Python Comprehensive Case Study (Part 3)

| ├──【Section 14】Python Comprehensive Case Study (IV)

| ├──【Section 15】Python Comprehensive Case Study (V)

| ├──【Section 1】Introduction to computer basics and Python basics

| ├──【Section 2】Data types and operators

| ├──【Section 3】Conditional statements and loops

| ├──【Section 4】Data sequence

| ├──【Section 5】Function

| ├──【Section 6】Comprehensive application of functions-business card management system

| ├──【Section 7】File Operations

| ├──【Section 8】Module-Package-Exception

| └──【Section 9】Object-oriented basics

├──Python crawler module (11.16 (20 sections)

| ├──Lesson 10 Dynamically loading data capture-Ajax

| ├──Lesson 11 Multithreaded Crawler

| ├──Lesson 12: Introduction to jsonpath_selenium

| ├──Lesson 13 Selenium

| ├──Lesson 14 Selenium2

| ├──Lesson 15 Selenium 3

| ├──Lesson 16 Scrapy

| ├──Lesson 17_scrapy_Multithreading and persistence

| ├──Lesson 18_scrapy_dynamic crawling_middleware (breakpoint continuation)

| ├──Lesson 19 scrapy_unstructured data_middleware (user-agent% proxy usage)

| ├──Lesson 1_First experience

| ├──Lesson 20_Distributed Crawling

| ├──Lesson 2_User-Agent & Regular Expression

| ├──Lesson 3 Data persistence

| ├──Lesson 4 Secondary Crawling_Incremental Crawling

| ├──Lesson 5 requests and xpath

| ├──Lesson 6 requests and xpath02

| ├──Lesson 7 Baidu Tieba and web client verification parameters

| ├──Lesson 8: Proxy and console packet capture

| ├──Lesson 9: Cracking Youdao Translation_Data Capture from the Ministry of Civil Affairs Website

| ├──Recorded classes (10 sessions)

| └──Create a new folder

├──Python Data Analysis and Visualization Module (10.19 (20 sections)

| ├──Section 10 Data Visualization Summary and Seaborn

| ├──Chapter 11 Data Analysis Project Douban Movie

| ├──Chapter 12 Data Analysis Project Data Analyst Salary

| ├──Chapter 13: Which companies were eliminated from data analysis projects?

| ├──Chapter 14 Data Analysis Project Beijing Lianjia Second-hand Housing Data Analysis

| ├──Chapter 15 Data Visualization Advanced Pyecharts (1)

| ├──Chapter 16 Data Visualization Advanced Pyecharts (2)

| ├──Chapter 17 Pyecharts Project Black Friday

| ├──Chapter 18 Pyecharts Project Starbucks Store Distribution

| ├──Chapter 19 Pyecharts Project National Tourist Attractions

| ├──Section 1 Data Analysis Basics and Series

| ├──Chapter 20 Pyecharts project registration with civil affairs bureaus across the country over the years

| ├──Section 2 What is Dataframe

| ├──Section 3 Processing of missing values, duplicate values, and time types

| ├──Section 4 Data Connection and Mapping Functions

| ├──Section 5 Pivot Tables and Group Aggregation

| ├──Section 6: Summary of Data Cleaning Knowledge

| ├──Section 7 Introduction to matplotlib and drawing line graphs

| ├──Section 8 Bar Chart and Histogram

| ├──Section 9 Scatter plots, box plots, and pie charts

| └──Recording

└──Database MySQL module (9.7 (Section 10))

| ├──【Section 10】SQL Project Comprehensive Case (Part 2)

| ├──【Section 1】Introduction to MySQL

| ├──【Section 2】SQL Statement DDL

| ├──【Section 3】SQL Statement DML

| ├──【Section 4】SQL Statement DQL (I)

| ├──【Section 5】SQL Statement DQL (Part 2)

| ├──【Section 6】SQL Statement DQL (Part 3)

| ├──【Section 7】Database transactions, views

| ├──【Section 8】Database triggers and functions

| ├──【Section 9】SQL Project Comprehensive Case (I)

| └──Recorded classes (10 sessions)