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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-data-analysts-toolkit-excel-sql-python-power-bi/
课程评论：没有评论
课程名称：《数据分析师工具包：Excel、SQL、Python、Power BI》 课程概述：本课程旨在为学生提供对数据分析师所需基本工具和技术的全面理解，包括Excel、SQL、Python和Power BI。课程设计帮助有志于成为数据分析师的候选人和专业人士掌握在现代数据驱动世界中生存所需的基本技能和工具。课程为学生奠定了数据分析、可视化和沟通的坚实基础，使其能够做出数据驱动的决策并提供可操作的洞察力。 课程开始时，介绍数据分析的基本概念，深入分析数据分析师的角色、职责以及数据驱动决策的重要性。随后，学生将学习Microsoft Excel，这是一种广泛使用的数据处理、分析和可视化工具。通过实践练习，学生将掌握数据清理、格式化、公式、函数、数据透视表和图表创建等Excel基本技巧。 接下来，课程将介绍SQL，这是管理和查询关系数据库的标准语言。学生将学习编写基本的SQL查询、过滤、排序、汇总数据、联合多个表以及使用子查询进行高级数据检索。课程接着深入Python，这是一种灵活的数据分析编程语言。学生将学习Python基础知识，包括数据类型、控制流和函数，然后逐步掌握使用Pandas进行数据处理和使用Matplotlib进行数据可视化。 在课程的后期，学生将探讨Power BI，这是一种强大的商业智能工具，用于创建交互式可视化并在组织中共享洞察力。Power BI模块涵盖数据连接、清理、转换、建模、关系及DAX（数据分析表达式）的基础知识。学生将学习如何创建视觉吸引力强且互动性高的仪表板和报告，定制视觉效果和主题，并与各利益相关者分享他们的发现。 最后几周，课程将专注于整合在整个程序中学到的工具和技术，包括在销售分析、客户细分、社交媒体分析、运营效率和财务分析中的真实案例和应用。 完成该课程后，学生将对数据分析师的工具包有全面的理解，并能够使用Excel、SQL、Python和Power BI应对复杂的数据分析任务。无论您是有志于成为数据分析师的学习者，还是希望提升技能的专业人士，或是寻求利用数据驱动洞察的商业领袖，本课程都将为您提供在现代数据驱动世界中取得成功所需的知识和工具。欢迎加入我们，体验这一沉浸式学习过程，释放数据分析的力量！
This course aims to provide students with a comprehensive understanding of the essential tools and techniques used by data analysts, including Excel, SQL, Python, and Power BI. This course is a comprehensive course designed to equip aspiring data analysts and professionals with the essential skills and tools necessary to thrive in today's data-driven world. This course provides a solid foundation in data analysis, visualization, and communication, enabling students to make data-driven decisions and deliver actionable insights.The course begins with an introduction to data analysis, delving into the roles and responsibilities of a data analyst, and the importance of data-driven decision-making. Students will then explore Microsoft Excel, a widely-used tool for data manipulation, analysis, and visualization. Through hands-on exercises, students will learn essential Excel techniques such as data cleaning, formatting, formulas, functions, pivot tables, and chart creation.Next, the course introduces SQL, the standard language for managing and querying relational databases. Students will learn how to write basic SQL queries, filter, sort, aggregate data, join multiple tables, and use subqueries for advanced data retrieval. The course then dives into Python, a versatile programming language for data analysis. Students will learn some Python basics, including data types, control flow, and functions, before progressing to data manipulation with Pandas, as well as data visualization using Matplotlib.As the course advances, students will explore Power BI, a powerful business intelligence tool for creating interactive visualizations and sharing insights across organizations. The Power BI module covers data connection, cleaning, transformation, modeling, relationships, and an introduction to DAX (Data Analysis Expressions). Students will learn how to create visually appealing and interactive dashboards and reports, customize visuals and themes, and share their findings with various stakeholders.In the final weeks, the course will focus on integrating the tools and techniques learned throughout the program, including real-world case studies and applications in sales analysis, customer segmentation, social media analytics, operational efficiency, and financial analysis.Upon completion, students will have a comprehensive understanding of the data analyst's toolkit and be equipped to tackle complex data analysis tasks using Excel, SQL, Python, and Power BI.Whether you are an aspiring data analyst, a professional looking to enhance your skillset, or a business leader seeking to leverage data-driven insights, this course will provide you with the knowledge and tools necessary to succeed in today's data-driven world. Join us in this immersive learning experience and unlock the power of data analysis with the Data Analyst's Toolkit: Excel, SQL, Python, Power BI.
