AI数据分析课by itlife365.com
课程介绍
你将获得
深入浅出理解大模型基础知识
掌握大模型在数据分析全流程的应用
手把手案例带练精进数据分析技能
借大模型之力全面提升数据分析素养
课程介绍
数据分析，不只是一个岗位，更是一项职场硬核技能。
过去想做数据分析得跨越一定的门槛，比如数学、统计、数据库、编程等必备的专业知识，再比如数据分析工具庞杂也并非开箱即用。大模型时代，这个门槛被大大降低。大模型可以“替”我们做一小部分工作，更能在数据分析的各个环节“帮”我们做很多事，从而降低掌握这项技能的难度，提高学习和工作效率。
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尹会生老师是极客时间的明星讲师，讲课通俗易懂、由浅入深是他最鲜明的特点。这门课，会生老师会带着我们，从数据分析的全流程入手，掌握基础 AI 工具，结合具体场景案例，直接上手解决问题，拿到结果，在“做”中学。
这门课适合所有想掌握数据分析能力的人，不限你所在的岗位，比如运营、财务、销售等，或者你还在上学，只要你有大量数据需要处理，你想透过数据拿到深刻洞察进而辅助高质量决策，那么，这门课程都能帮到你，让你能够快速掌握 AI 数据分析的能力。
课程目录
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《AI数据分析课》课程目录
开篇词|AIGC时代，数据分析可以很简单
模块一：数据清洗与预处理
01 数据分析入门：从掌握基础流程开始
02 大模型基础：掌握核心原理，知其所以然
03 Prompt提示词：与大模型交互的主要方式
04 让模型替你干活：数据清洗之自动识别数据格式与纠正
异常
05 让大模型帮你干活：数据清洗之处理数据存储形式不一致
06 AI工具：不用手写代码，让大模型帮你搞定爬虫
模块二：数据探索与分析
07 让大模型扮演教练教你SQL基础：学会数据提取、查询
与管理
08 让大模型扮演你的数据分析专家：跨越通用方法的障碍
09 数据探索：用和大模型交互的方式做探索性数据分析
模块三：数据可视化与报告自动化
10 让大模型为你绘图：利用ChatGPT创建直观且有洞察力的
图表
11 让大模型提升你的叙事技巧：ChatGPT帮助你打造更有
说服力的数据报告
12 数据导入及清洗：ChatGPT在数据处理过程中的完整应用（上）
13 数据分析及展示：ChatGPT在数据处理过程中的完整应用（下）
模块四：增强决策支持14预测与优化：ChatGPT在数据驱动决策中的综合应用（上）15预测与优化：ChatGPT在数据驱动决策中的综合应用（下）
16 战略咨询新伙伴：ChatGPT在SWOT与PEST分析中的
实用性
17 用户洞察全面探索：ChatGPT在用户行为分析中的应用
18 数据驱动的产品策略：利用ChatGPT优化产品生命周期
模块五：交互式分析工具
19 构建知识库：利用Coze通过自然语言查询数据（上）
20 深度优化：为Coze知识库实现更准确的数据查询（中）
21联网与实时更新：利用技能模块为Coze知识库提高查询（下）
准确性
22 打造专属助手：利用OpenAI Playground构建可控的数据
分析工具 23 对话智能：使用OpenAI Assistants构建支持文件搜索的机器人 24 全面联网：三种方式让ChatGPT接入网络，提高回答精度 25 自动化数据处理：利用AgentGPT进行数据任务拆解与分析 模块六：数据集成 26 数据一体化：集成不同来源的数据资产，打造统一数据湖1 支持大模型分析 27 云上构建：利用云计算的弹性和可扩展性，构建高性能的 大模型数据分析平台 模块七：数据隐私与保护 28 数据保密：利用ChatGPT实现数据脱敏和匿名化 29 数据伦理与隐私保护：确保数据使用的道德与合法性 模块八：持续学习与改进 30 工具扩展：利用GPT-4o模型识别文字与图像 31 资讯获取：怎样获取第一手的AI数据分析资讯 32 未来展望：探讨大语言模型在数据分析中的发展方向和 创新应用 结束语 插上AI工具的羽翼，开启你的数据分析之旅
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AI Data Analysis Course by itlife365.com
Course Introduction
You will receive
Understand the basic knowledge of large models in a simple and profound manner
Master the application of big models in the entire process of data analysis
Hand in hand case training to improve data analysis skills
Leveraging the power of big models to comprehensively enhance data analysis literacy
Course Introduction
Data analysis is not just a job, but also a hardcore skill in the workplace.
In the past, those who wanted to do data analysis had to cross certain barriers, such as essential professional knowledge in mathematics, statistics, databases, programming, and the complexity of data analysis tools that were not readily available. In the era of big models, this threshold has been greatly lowered. Large models can "do" a small part of our work for us, and can "help" us do many things in various aspects of data analysis, thereby reducing the difficulty of mastering this skill and improving learning and work efficiency. AI Data Analysis Course 2.jpg itlife365.com
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Teacher Yin Huisheng is a star lecturer of Geek Time, and his most distinctive feature is that his lectures are easy to understand and gradually deepen. In this course, the teacher will guide us through the entire process of data analysis, master basic AI tools, combine specific scenario cases, directly solve problems, obtain results, and learn through "doing".
This course is suitable for anyone who wants to master data analysis skills, regardless of your position, such as operations, finance, sales, etc., or if you are still in school, as long as you have a large amount of data to process and want to gain profound insights through data to assist in high-quality decision-making, then this course can help you quickly master the ability of AI data analysis.
Course Catalog
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Course Catalog of AI Data Analysis Course
Opening words | In the era of AIGC, data analysis can be very simple
Module 1: Data Cleaning and Preprocessing
01 Introduction to Data Analysis: Starting from Mastering Basic Processes
02 Fundamentals of Big Models: Mastering the Core Principles and Knowing Why
03 Prompt prompt: The main way to interact with large models
04 Let the model work for you: Automatic recognition of data format and correction of anomalies in data cleaning
05 Let the big model help you with your work: inconsistent data storage forms in data cleaning processing
06 AI Tool: No need to handwrite code, let the big model help you with crawling
Module 2: Data Exploration and Analysis
07 Let the Big Model Play Coach Teach You SQL Fundamentals: Learn Data Extraction and Query
And management
08 Let Big Models Play Your Data Analysis Expert: Overcoming the Obstacles of Common Methods
09 Data Exploration: Exploratory Data Analysis through Interaction with Large Models
Module 3: Data Visualization and Report Automation
10 Let Big Models Draw for You: Create Intuitive and Insight with ChatGPT
Chart
11 Ways to Improve Your Narrative Skills with Big Models: ChatGPT Helps You Build More
Persuasive data report
12 Data Import and Cleaning: The Complete Application of ChatGPT in Data Processing (Part 1)
13 Data Analysis and Display: The Complete Application of ChatGPT in Data Processing (Part 2)
Module 4: Enhanced Decision Support 14 Prediction and Optimization: Comprehensive Application of ChatGPT in Data Driven Decision Making (Part 1) 15 Prediction and Optimization: Comprehensive Application of ChatGPT in Data Driven Decision Making (Part 2)
16 Strategic Consulting New Partner: ChatGPT's SWOT and PEST Analysis
practicability
17 Comprehensive Exploration of User Insights: The Application of ChatGPT in User Behavior Analysis
18 Data Driven Product Strategy: Utilizing ChatGPT to Optimize Product Lifecycle
Module 5: Interactive Analysis Tools
Building a Knowledge Base: Using Coze to Query Data through Natural Language (Part 1)
20 Deep Optimization: Implementing More Accurate Data Querying for the Coze Knowledge Base (Part 2)
21 Networking and Real time Updating: Utilizing Skill Modules to Improve Querying for the Coze Knowledge Base (Part 2)
accuracy
Creating an exclusive assistant: using OpenAI Playground to build controllable data
Analysis tools
23 Dialogue Intelligence: Building a Robot Supporting File Search with OpenAI Assistants
24 Comprehensive Networking: Three Ways to Connect ChatGPT to the Network and Improve Answering Accuracy
25 Automated Data Processing: Using AgentGPT for Data Task Decomposition and Analysis
Module 6: Data Integration
26 Data Integration: Integrating data assets from different sources to create a unified data lake
Support large-scale model analysis
27 Cloud based Construction: Utilizing the elasticity and scalability of cloud computing to build high-performance
Big Model Data Analysis Platform
Module 7: Data Privacy and Protection
28 Data Confidentiality: Utilizing ChatGPT to Desensitize and Anonymize Data
29 Data Ethics and Privacy Protection: Ensuring the Ethics and Legitimacy of Data Use
Module 8: Continuous Learning and Improvement
30 Tool Extension: Using GPT-4o Model to Recognize Text and Images
31 Information Acquisition: How to Obtain First Hand AI Data Analysis Information
32 Future Prospects: Exploring the Development Direction and Application of Large Language Models in Data Analysis
Innovative applications
Conclusion: Insert the wings of AI tools and embark on your journey of data analysis
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