想從零開始學習資料分析嗎?本課程結合 Excel 與 Python 的實用技巧,搭配 ChatGPT 協助快速完成數據清理、統計分析與視覺化呈現。涵蓋超過 60 個真實案例練習,從基礎到進階一手掌握資料分析技能,是職場數據思維與 AI 效率應用的最佳入門選擇。
此教程為高質量英文原版視頻教學資源,英文不好的可以使用翻譯插件學習。
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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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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