本課程《數據分析全能指南：Excel + Python + ChatGPT 實戰解析》是一門系統性強、實用性高的綜合課程，帶你掌握從數據清洗到統計分析、從可視化到實際問題解決的完整數據分析流程。適合零編程基礎、有志於提升數據分析力的學習者，幫助你打通技能壁壘，成為能靈活運用多種工具的全能型分析人才。
你將深入學習：
Excel 技能：數據清洗、處理缺失值與異常值、使用函數與圖表進行分析、構建交互式儀錶板（PivotTable/PivotChart）；
Python 編程：掌握語法、數據結構與控制流程，靈活處理大規模數據，擴展Excel無法處理的分析任務；
統計分析：掌握描述性統計、推論統計與假設檢驗，並能準確解讀和傳達分析結果；
ChatGPT 輔助：藉助AI快速生成代碼、優化邏輯、加快分析效率；
60+ 實戰題目：結合真實業務場景，鍛鍊問題解決能力和數據驅動決策的能力。
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教程名稱：Data Analysis 3 in 1: Excel, Python and ChatGPT
下載連結：https://www.nidown.com/chatgpt-297132.html
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最便捷、最實惠的 ChatGPT Plus 升級服務來了！！！
查看詳情：https://www.kkmac.com/go/chatgpt
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英文原版介紹
Published 1/2024
Created by Md Shahriar
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 80 Lectures ( 9h 21m ) | Size: 3.51 GB
Master Complete Data Analysis Workflow. Unleash Two Widely Used Tools – Excel and Python. Empower Yourself with ChatGPT.
What you’ll learn:
Learn Python’s syntax, data types, variables, and operators to construct simple programs and execute basic functions.
To manage program flow, use loops and conditional statements like if, elif, and else.
Learn to use Python lists, dictionaries, tuples, and sets.
Learn to access, change, and manipulate these structures for various programming needs.
Understand and apply techniques for cleaning and preparing raw data in Excel.
Learn to identify and handle missing data, outliers, and inconsistencies.
Utilize Excel functions and tools for data validation and transformation.
Explore fundamental statistical concepts and their application in Excel.
Learn to perform descriptive statistics, inferential statistics, and hypothesis testing using Excel functions and tools.
Understand how to interpret and communicate statistical results effectively.
Design and build interactive dashboards in Excel for effective data visualization.
Learn to use PivotTables, PivotCharts, and slicers to create dynamic and user-friendly dashboards.
Explore various data visualization techniques available in Excel, including charts, graphs.
Learn and apply the data analysis methodology, from data cleaning to hypothesis testing, in real-world applications.
Increase your critical thinking and problem-solving skills for data analysis, decision-making, and recommendation.
Use value counts, percentage, group by, pivot tables, correlation, and regression professionally and realistically.
Solve over 60+ real-world data analytical questions to practice applying data analysis to various circumstances.
Emphasize practical application to gain valuable insights from data and create educated judgments and suggestions.
Requirements:
Microsoft Excel
No coding Experience is Needed
Desire to learn
