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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analytics-crash-course-for-beginners/
课程评论：没有评论
**Coursera 课程大纲：面向初学者的数据分析速成课** 本课程旨在为数据分析初学者提供一个全面的入门指导，重点介绍 Power BI、Microsoft Excel 和 Python 三种核心工具。 **课程内容概述：** * **Power BI 基础：** 了解 Power BI 的工作原理，学习安装和设置 Power BI Desktop，连接各种数据源（Excel、CSV、Web、数据库），使用 Power Query 进行数据清洗和转换，创建交互式仪表板（图表、表格、筛选器、切片器），管理表之间关系，并通过 Power BI Service 发布和共享报表。 * **Excel 数据分析：** 掌握 Excel 的数据录入和格式化基础，学习常用公式和函数（SUM, IF, VLOOKUP 等），创建数据透视表和图表，以及为 Power BI 准备结构化数据。 * **Python 基础：** 介绍 Python 在数据分析中的应用，学习使用 Jupyter Notebook 或 Google Colab，掌握使用 pandas 库导入和探索数据集，编写基础脚本进行数据清洗和分析，以及使用 matplotlib 或 seaborn 库可视化简单趋势。 * **期末项目：** 通过一个端到端的数据分析项目，实践所学知识，从导入原始数据到使用 Power BI 进行可视化呈现，从而建立实践经验和信心。 **学习目标：** * 理解 Power BI、Excel 和 Python 在数据分析中的作用和工作流程。 * 掌握使用 Excel 和 Python 准备和清洗原始数据。 * 能够使用真实数据创建和发布 Power BI 仪表板。 * 从零开始建立构建简单分析报表的信心。 **课程要求：** * 具备可上网的笔记本电脑或台式机。 * 安装 Power BI Desktop（免费）。 * 安装 Microsoft Excel（任何版本均可）。 * 无需任何编程或数据分析经验。 **适合人群：** * 有志于进入数据分析和可视化领域初学者。 * 希望提升简历技能的学生和求职者。 * 希望有效理解和呈现数据的自由职业者和小企业主。 * 对数据驱动决策感兴趣的所有人。 本课程将助您迈出数据分析之旅的第一步，掌握全球专业人士广泛使用的强大工具。
Course Title:Power BI, Excel & Python Basics for Data Analytics - Crash Course with ProjectFull Course Description:Are you ready to step into the world of data analytics but don't know where to begin? This beginner-friendly crash course is designed to introduce you to three of the most powerful tools in data analytics-Power BI, Microsoft Excel, and Python-using real-world examples and a practical project.This course is perfect for students, professionals, and freelancers who want to gain foundational knowledge and hands-on experience in visualizing, analyzing, and interpreting data. Whether you're aiming for a career in data analytics or want to enhance your reporting skills, this course gives you the essential tools to get started.What You'll Learn:Power BI Basics:What is Power BI and how does it workInstalling and setting up Power BI DesktopConnecting to real-world datasets (Excel, CSV, Web, Databases)Cleaning and transforming data using Power QueryCreating interactive dashboards with charts, tables, filters, and slicersManaging relationships between tablesPublishing and sharing reports through Power BI ServiceExcel for Data Analytics:Basics of Microsoft Excel for data entry and formattingApplying formulas and functions (SUM, IF, VLOOKUP, etc.)Creating pivot tables and chartsPreparing structured data for use in Power BIPython Basics:Introduction to Python for data analysisUsing Jupyter Notebook or Google ColabImporting and exploring datasets using pandasWriting basic scripts to clean and analyze dataVisualizing simple trends using matplotlib or seabornFinal Project:You'll apply what you've learned by working on a small end-to-end data analytics project-from importing raw data to visualizing insights using Power BI. This project will help you build a mini-portfolio piece and gain the confidence to move forward in your analytics journey.By the End of This Course, You Will:Understand the role and workflow of Power BI, Excel, and Python in data analyticsBe able to prepare and clean raw data using Excel and PythonCreate and publish Power BI dashboards using real-world dataGain confidence in building simple analytical reports from scratchRequirements:A laptop or desktop with internet accessPower BI Desktop (free)Microsoft Excel (any version recommended)No prior coding or analytics experience required - this course is beginner-friendlyWho This Course Is For:Beginners interested in data analytics and visualizationStudents and job seekers who want to enhance their resume with in-demand skillsFreelancers and small business owners who want to understand and present data effectivelyAnyone curious about how data can be used to make smart decisionsStart learning today and take your first step into the world of data analytics with tools that power professionals worldwide.
