Kaikeba 25th Data Analysis Salary Training Program Employment Class

Kaikeba 25th Data Analysis Salary Training Program Employment Class

Introduction to the resources of the 25th Data Analysis Salary Training Program Employment Class of Kaikeba:

The 25th Data Analysis High-Paying Training Program Employment Class is designed for engineers who want to become data analysts, enter leading companies, and achieve a high-paying career. The course is jointly conducted by senior data analysis experts from first-tier companies and is based on in-depth research into internal company research at Baidu, Tencent, Alibaba, Meituan, and ByteDance!

Course Catalog

├──01. Chapter 1 Environment Installation

| ├──Anaconda3-2019.03-MacOSX-x86_64.zip 634.04M

| ├──Anaconda3-2019.07-Windows-x86_64.zip 469.69M

| ├──Mac installation anaconda.pdf 2.37M

| ├──Install anaconda on Windows.pdf 931.23kb

| ├──Chapter 1, Section 1: anaconda for mac.mp4 39.31M

| └──Chapter 1, Section 2: anaconda for Windows.mp4 20.72M

├──02. Chapter 2 Excel Basics

| ├──Excel routine operation homework-answers.zip 73.85kb

| ├──Excel General Knowledge.pdf 9.53M

| ├──General Operations of Excel.pdf 4.80M

| ├──Section 3 Excel data set and material preparation.zip 16.43M

| ├──Section 8: Short-term rental courseware and data source.zip 3.49M

| ├──Chapter 2 Section 1: Excel Knowledge Review.mp4 372.49M

| ├──Chapter 2 Section 2: Excel Case Analysis.mp4 437.09M

| ├──Chapter 2 Section 4: General Excel Operations.mp4 299.20M

| ├──Chapter 2 Section 5: Excel Formulas and Functions.mp4 298.13M

| ├──Chapter 2 Section 6: Excel Pivot Table Operation.mp4 301.18M

| ├──Chapter 2, Section 7: E-commerce video.mp4 359.39M

| ├──Chapter 2, Section 8: Short-term rental complete.mp4 303.90M

| ├──Chapter 2, Section 9: Comparison of Excel 2016 and 2019.mp4 160.17M

| ├──Section 9: Differences between Excel 2016 and 2019.pdf 991.15kb

| ├──Section 9: Excel difference operation demonstration.xlsx 503.30kb

| ├──Section 6: Excel Pivot Table Operation Courseware.pdf 1.05M

| ├──Section 6: Pivot Table Data.zip 178.93kb

| ├──Section 7: E-commerce video courseware.zip 2.87M

| ├──Chapter 5: Excel Functions from Basic to Advanced Courseware.zip 2.22M

| └──Section 5: Excel functions from the basics to the advanced homework and answers.zip 72.65kb

├──03. Chapter 3 Python

| ├──Section 2: Python Advanced - Courseware.pdf 735.28kb

| ├──Section 3: Python Case Study-Courseware.pdf 1.13M

| ├──Chapter 3 Section 1: Introduction to Python Basics.mp4 336.12M

| ├──Chapter 3 Section 2: Python Advanced.mp4 334.05M

| ├──Chapter 3 Section 3: Python Examples.mp4 404.39M

| ├──Section 1: Introduction to Python Basics-Courseware.pdf 793.21kb

| └──Section 1: Python introductory course knowledge points.png 51.96kb

├──04. Chapter 4 Opening Ceremony (including class schedule)

| ├──Second period class schedule (updated in real time)

| ├──20210426 Big Data Analyst Course System Introduction-25th Issue.pdf 391.41kb

| └──Chapter 4 Section 1: Opening Ceremony.mp4 497.94M

├──05. Chapter 5 Python

| ├──Section 10 Python Scientific Computing Library Pandas

| ├──Section 11 Python Scientific Computing Library Pandas

| ├──Section 12 Python Case - Movie Data Analysis

| ├──Section 13 Python Case - E-commerce Data Analysis

| ├──Section 1 Python Chapter Study Guide

| ├──Section 2 Introduction to Python Syntax

| ├──Section 3 Python Data Containers

| ├──Section 4 Python Functions and Exception Handling

| ├──Section 5 Python Object-Oriented and Modules

| ├──Section 6 Basic knowledge of Python crawlers

| ├──Section 7 Commonly used libraries for Python crawlers

| ├──Section 8 Scientific computing library Matplotlib visualization

| └──Section 9 Python Scientific Computing Library NumPy

├──06. Chapter 6 MySQL

| ├──Section 1 MySQL Financial Case - Basic Operations

| ├──Section 2 MySQL Cloud Experimental Platform

| ├──Section 3 MySQL Financial Case - Complex Query

| └──Section 4 MySQL Financial Case - Other Operations

├──07, Chapter 7 MySQL and Hive Installation Information

| ├──Section 1 MySQL-Mac Installation

| ├──Section 2 MySQL-win installation

| ├──Supplementary video for Section 3 - Fully Distributed

| ├──Section 4 Pseudo-distributed-Win version

| └──Section 5 Pseudo-distribution-Mac version

├──08, Chapter 8 Hive

| ├──Section 1 HiveSQL Core Skills 1- Common Functions

| ├──Section 2 HIve Cloud Experimental Platform

| ├──Section 3 HiveSQL Core Skills 2-Table Connection

| ├──Section 4 HiveSQL Core Skills 3-Window Functions

| ├──Section 5 Common HiveSQL Optimization Techniques

| ├──Section 6 Comprehensive Case Study of Big Data Analysis

| ├──Section 7 Fully Distributed Supplement

| ├──Section 8 Spark Basics

| └──Section 9 Sprak SQL

├──09, Chapter 9 Data Visualization

| ├──Section 1 Commonly used graphics visualization in Excel 1

| ├──Section 2 Commonly used graphics visualization in Excel 2

| ├──Section 3: Commonly used visualization graphics in Tableau

| ├──Section 4: Tableau Advanced Visualization Explanation

| ├──Section 5: Tableau Prep

| ├──Section 6 E-commerce Order Data Analysis

| ├──Section 7 Power BI

| ├──Section 8 Power BI cool language

| └──Section 9 Power BI User Profile Project

├──10. Chapter 10 Industry Case Analysis

| ├──Section 10 Daily data indicator monitoring of e-commerce

| ├──Section 11 User Profile

| ├──Section 12 User Behavior Analysis

| ├──Section 1 Strategic Indicators

| ├──Section 2 Strategy Indicators

| ├──Section 3 Data Analysis Methodology

| ├──Section 4 Sandbox Experiment

| ├──Section 5 Data Analysis Report

| ├──Section 6 Traffic and Product Function Analysis

| ├──Section 7 User Analysis

| ├──Section 8 Operational Analysis

| └──Section 9 Business Analysis and Review Analysis

├──11. Chapter 11 Statistical Methodology

| ├──Section 10 Time Series (II)

| ├──Section 11 News Category 1

| ├──Section 12 News Category 2

| ├──Section 1 Descriptive Statistical Analysis

| ├──Section 2 Inferential Statistics - Parameter Estimation

| ├──Section 3 Inferential Statistics-Hypothesis Testing

| ├──Section 4 Common Hypothesis Tests (I)

| ├──Section 5 Common Hypothesis Tests (II)

| ├──Section 6 Linear Regression

| ├──Section 7 AQI Analysis and Forecast 1

| ├──Section 8 AQI Analysis and Forecast 2

| └──Section 9 Time Series (I)

└──12. Chapter 12 Employment Guidance

| ├──Chapter 12 Section 1: Employment Guidance (I).mp4 436.62M

| ├──Chapter 12 Section 2: Employment Guidance (II).mp4 204.65M

| ├──Employment1.pdf 1.95M

| └──Employment 2.pdf 706.79kb

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