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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