[Chengdu Classes] CDA Data Analyst Offline/Online Courses

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Introduction to course advantages

●Reduce entry barriers, both liberal arts and commerce can learn
data analysis employment class Aiming at zero-based people who want to work in data, it is dedicated to solving their problems of high entry thresholds and professional barriers. Specialized and systematic study plan.
●Covering common skills and cultivating data literacy
The teachers are all from the academic and practical fields of expert lecturers, senior analysts of enterprises and industry leaders, representing the professional level of domestic data analysis training, so that students can learn solid data analysis theoretical knowledge, but also have a strong practical ability.
●Consolidate the job foundation and directly lead to enterprise employment. The
progressive course content covers the tools and programming languages required for data analysis, and focuses on teaching common analysis skills. After learning, you can complete data analysis work in multiple industries and scenarios.

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·CDA data analyst

2023 The fourth term starts

Broad target audience

Fresh graduates
changing career data analysis crowd

CDA applicants for on-the-job promotion and job transfer

The course covers a comprehensive

Chapter 1: Learning basic tools before class

Chapter 2: Business knowledge learning before class

Chapter 3: Business Data Analysis (Excel)

Chapter 4: Basics of Statistics

Chapter 5: Multidimensional Data Analysis

Chapter 6: Inferential Statistics

Chapter 7: MySQL Database

Chapter 8: Data Management and Governance

Chapter 9: Data Architecture

Chapter 10: Hive SQL

Chapter Eleven: Comprehensive Project Combat

Chapter 12: Basics of Python Programming

Chapter 13: Data Cleaning and Visualization

Chapter 14: Python Automation

Chapter 15: ETL and Data Warehouse

Chapter 16: Statistical Modeling

Chapter 17: Precision Marketing Report

Chapter 18: Machine Learning

Chapter 19: The Big Case for Machine Learning

Chapter 20: Career Path Planning

Chapter 21: Employment Guidance

Chapter 22: Elective Courses

The case applies to a wide range of industries

main lecturer

Chang Guozhen
Doctor of Accounting, Peking University, executive director of CDA Data Science Research Institute, member of the Expert Committee of China Big Data Industry Ecological Alliance.

• Served as KPMG Consulting Big Data Director. External tutor of Beijing Language and Culture University for Master of Finance, external lecturer of University of Chinese Academy of Social Sciences and many other institutions.
• Has 18 years of experience in data mining, lean data governance, and data planning consulting.

Li Qi

• Microsoft MVP (Most Valuable Professional)

• Chairman of the Spreadsheet Application Conference, once served as the data analysis project leader of the IBM sales management team, and a senior consultant of the Deloitte data analysis team.

• Has rich online and offline training experience in data analysis, including 1,000 offline trainings, and the total number of online + offline training exceeds 500,000 people.

Zhang Zhiqi

• Senior consultant of Deloitte's data analysis team, involving consulting projects in multiple fields such as FMCG, communications, Internet catering, and banking.

• Senior data analyst of Fosun Group's investment due diligence team.

• Startup company data scientist, trained more than 700 times and trained more than 300,000 people

Ding Yajun

• Director of Data Analysis of Nanjing Shangdu Consulting, moderator of SAS and SPSS editions of Economic Management Home Forum.
• Lecturer of CDA Data Science Research Institute and SAS, SPSS software lecturer, IBM SPSS-China/SAS-Taiwan consultant.

• Author of Statistical Analysis: From Small Data to Big Data.

Xu Yang

• Graduated from Glasgow University with a master's degree in econometrics. He has worked for the Chinese Academy of Social Sciences and the Bank of China, and has long been engaged in algorithm research and development.
• Under the tutelage of Hisayuki Yoshimoto, he mainly focuses on the direction of spatial measurement, and has in-depth research on various regression models and simultaneous equation models.
• The doctoral research topic is parameter identification of spatial matrix instrumental variables for neural networks.

Ke Jiayuan

• Lecturer of CDA Institute of Data Science, Senior Data Analyst certified by the Ministry of Industry and Information Technology.
• Worked in cross-border e-commerce, responsible for data mining preprocessing of CRM user analysis system, good at data analysis tools including Excel, Tableau, SQL, etc.
• Lecturer for Henan University, Henan University of Science and Technology, Jiaying University and other colleges and universities.