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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analysis-projects-using-sql-power-bi-tableau-excel/
课程评论：没有评论
课程名称：数据分析 SQL、Tableau、Power BI 和 Excel 实战项目 课程概述：如果您渴望成为数据分析师，这门课程将是您理想的选择！请确保您的计算机上可以安装 MySQL Workbench，我们提供了安装视频供您免费预览。在本课程中，您将学习掌握提取、处理、可视化和有效分析数据所需的关键技术和概念。无论您是初学者还是具有一定数据分析经验，本课程都将满足您的需求，帮助您在快速发展的数据分析领域中获得竞争优势。 您将学习到的内容包括： 1. **SQL 基础**：深入了解结构化查询语言（SQL），学习如何编写强大的查询以从数据库中提取和处理数据。从基本的 SELECT 语句到高级的 JOIN、子查询和聚合函数，您将获得对 SQL 的全面理解（适用于 Mac 和 Windows 电脑）。 2. **Tableau 基础**：发挥 Tableau 的潜力，这是一种领先的数据可视化和探索工具。学习如何连接数据源，使用拖放技术创建惊艳的可视化效果，并构建交互式仪表板以挖掘有价值的见解（适用于 Mac 和 Windows 电脑）。 3. **Power BI 基础**：探索微软强大的商业智能工具 Power BI 的功能。发现如何导入、转换和建模来自各类数据源的数据，创建交互式可视化，并设计引人注目的报告和仪表板（仅适用于 Windows 用户）。 4. **Excel 数据分析**：Excel 仍然是数据分析的基本工具，本课程将帮助您利用其强大功能。探索数据分析师常用的功能，如公式、透视表、数据清理和条件格式，以高效地分析和呈现数据（适用于 Mac 和 Windows 电脑）。 5. **利用 ChatGPT 作为数据分析师**：学习如何利用 ChatGPT 提高您的数据分析师工作效率。发掘实际技巧，使用 ChatGPT 帮助编写 SQL 查询、生成代码片段和自动化重复性任务。 6. **数据分析统计学**：培养在数据分析中所需的统计概念的坚实基础。了解关键的统计量如标准差、均值、中位数和众数。理解如何解释这些统计数据并将其应用于现实数据分析场景。 为什么选择此课程？ - **全面的方法**：熟练掌握数据分析师使用的四种基本工具，使您能够应对各种数据分析任务。 - **实践学习**：通过实践练习和现实世界的例子，您将应用所学知识解决真实的数据分析挑战。 - **实际项目**：参与激动人心的项目，模拟现实场景，构建实践数据分析技能的作品集。 - **专家指导**：学习自一位经验丰富、对教学充满热情的讲师，获得深入的行业知识。 - **职业发展**：装备您所需的技能，以迎合就业市场的需求，开启数据分析师或商业智能专业人员的丰厚职业机会。 这门课程将为您的数据分析之旅奠定坚实基础，助您在这一领域取得成功！
If you're interested in becoming a data analyst you're in the right place!Please ensure you can install MySQL Workbench on your computer - I have enabled the installation videos for free preview so you can try.In this course, you will learn how to master the key techniques and concepts required to extract, manipulate, visualize, and analyze data effectively. Whether you're a beginner or have some experience with data analysis, this course will cater to your needs and help you gain a competitive edge in the rapidly growing field of data analytics.Here's what you can expect to learn:SQL Fundamentals: Dive into the world of structured query language (SQL) and learn how to write powerful queries to extract and manipulate data from databases. From basic SELECT statements to advanced JOINs, subqueries and aggregate functions, you'll gain a comprehensive understanding of SQL. This section is available for Mac and Windows laptops and computers.Tableau Fundamentals: Unleash the potential of Tableau, a leading data visualization and exploration tool. Learn how to connect to data sources, create stunning visualizations using drag-and-drop techniques, and build interactive dashboards to uncover valuable insights. This section is available for Mac and Windows laptops and computers.Power BI Essentials: Explore the capabilities of Power BI, Microsoft's powerful business intelligence tool. Discover how to import, transform, and model data from various sources, create interactive visualizations, and design compelling reports and dashboards. This section is only available for Windows users. Excel for Data Analysis: Excel remains a fundamental tool for data analysis, and in this course, you'll harness its power. Explore common features used by data analysts such as formulas, pivot tables, data cleaning, and conditional formatting to efficiently analyze and present data. This section is available for Mac and Windows laptops and computers.Using ChatGPT as a Data Analyst: Learn how to use ChatGPT to enhance your productivity as a data analyst. Discover practical techniques for utilizing ChatGPT to assist in writing SQL queries, generating code snippets, and automating repetitive tasks.Statistics for Data Analysis: Develop a strong foundation in statistical concepts essential for data analysis. Learn about key measures such as standard deviation, mean, median, and mode. Understand how to interpret these statistics and apply them to real-world data analysis scenarios.Why Enroll in this Course?Comprehensive Approach: Gain proficiency in four essential tools used by data analysts, allowing you to tackle a wide range of data analysis tasks.Hands-On Learning: Through practical exercises and real-world examples, you'll apply your knowledge to solve realistic data analysis challenges.Practical Projects: Work on exciting projects that simulate real-world scenarios, enabling you to build a portfolio of practical data analysis skills.Expert Instruction: Learn from an experienced instructor who has extensive industry knowledge and a passion for teaching data analysis.Career Advancement: Equip yourself with the skills demanded by the job market and unlock lucrative career opportunities as a data analyst or business intelligence professional.
