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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-tableau-course-for-data-analytics-and-visualization/
课程评论：没有评论
课程名称：完整的Tableau数据分析与可视化课程 课程概述：掌握Tableau这一行业领先的工具，将原始数据转化为引人入胜的可视化故事和仪表板。本课程专为学生、职业转型者及希望通过实际项目、实践练习和基础理论提升数据分析能力的专业人士设计，由经验丰富的高级数据分析师Asad Raza Nayani讲授。 为什么学习Tableau？Tableau是市场上最强大且易于使用的数据可视化工具，广泛应用于金融、营销、医疗和科技等行业。无论您是数据分析的新手，还是希望巩固Tableau技能以增强就业竞争力，本课程提供了结构化和实践的学习路径。 课程结束后，您将能够： - 创建交互式仪表板和深刻的可视化图表。 - 处理各种数据类型和结构。 - 应用计算字段、参数、集合和LOD表达式等高级功能。 - 将仪表板发布到Tableau Public和Tableau Server。 - 使用真实数据集和技术解决业务问题。 您将学习的内容包括： - **Tableau设置与界面掌握**：安装Tableau Public/Desktop，探索其界面，连接各种数据源。 - **真实项目中的数据建模**：使用书籍销售和全球超级商店数据设计有效的数据模型。 - **可视化从简单到复杂**：创建多种类型的图表如散点图、饼图、气泡图等，并探索地理空间可视化。 - **过滤器、参数和交互性**：使用过滤器和参数来细化可视化输出。 - **计算字段和高级函数**：构建强大的逻辑用于动态分析。 - **集合、分组和细节级别（LOD）**：深入先进的分段和聚合技术。 - **仪表板与讲故事**：创建引人入胜的交互式仪表板并探索有效的设计原则。 - **发布与分享**：学习如何将仪表板发布到Tableau Public和Server。 - **附加部分：SQL与数据摄取**：提供使用Python进行数据摄取的实用指导。 - **迷你速成课程**：介绍Tableau核心概念的快速学习模块，适合快速入门或复习。 为什么本课程脱颖而出： - **项目导向的课程**：通过真实世界的场景和数据集教授每个概念。 - **循序渐进的指导**：不需要先前经验，只需跟随学习并提高技能。 - **讲师专业知识**：直接向在大型数据集中工作的高级数据分析师学习。 - **全面与灵活**：根据需要选择深入学习或快速技能提升。 讲师介绍：Asad Raza Nayani是一名拥有三年以上数据分析经验的高级数据分析师，具备软件工程背景。他在Citi和Revature等知名公司工作，精通ETL、Java、API开发等多种技术。作为Citizens的 数据分析师和高级欺诈战略顾问，他利用Tableau等工具分析数据，制定抗欺诈策略，并热衷于教学和指导学生，帮助他们提升数据分析和可视化技能。 开始您的数据可视化之旅，今天就加入课程，全面掌握Tableau，利用数据驱动成果。
Gain hands-on expertise in Tableau, the industry-leading tool for transforming raw data into compelling visual stories and dashboards. This course is designed for students, career changers, and professionals aiming to enhance their data analytics capabilities through real-world projects, practical exercises, and foundational theory-all guided by expert instructor Asad Raza Nayani, a Senior Data Analyst with extensive experience in Data Analytics and Software Engineering.Why Learn Tableau?Tableau is one of the most powerful and user-friendly data visualization tools on the market, widely used across industries such as finance, marketing, healthcare, and tech. Whether you're just starting your journey in data analytics or seeking to solidify your Tableau skills for job-readiness, this course offers a structured and hands-on learning path.By the end of the course, you'll confidently:Create interactive dashboards and insightful visualizations.Work with a variety of data types and structures.Apply advanced features like calculated fields, parameters, sets, and LOD expressions.Publish dashboards to Tableau Public and Tableau Server.Solve business problems using real-world data sets and techniques.What You Will Learn?Tableau Setup & Interface Mastery: Install Tableau Public/Desktop, explore its interface, and connect to diverse data sources including relational databases.Data Modeling with Real Projects: Design effective data models using book sales and global superstore data. Understand fields, data types, and the characteristics of a good dataset.Visualizations from Simple to Complex: Create a wide range of charts-scatter plots, pie charts, bubble charts, histograms, line graphs, dual-axis visualizations-and explore geospatial visualizations.Filtering, Parameters, and Interactivity: Use filters, wildcard conditions, parameters, and Tableau's order of operations to fine-tune your visual outputs.Calculated Fields and Advanced Functions: Build robust logic using calculated fields, string functions, logical operators, and date functions for dynamic analysis.Sets, Groups, and Level of Detail (LOD): Dive deeper into advanced segmentation and aggregation techniques with sets, groups, and LOD calculations.Dashboards and Storytelling: Create engaging, interactive dashboards and narrative-style stories. Explore the design principles of effective dashboards using public examples.Publishing and Sharing: Learn how to publish dashboards to Tableau Public and Server for broader visibility and collaboration.Bonus Section: SQL & Data Ingestion: Includes practical guidance on installing PostgreSQL and DBeaver, ingesting data using Python, and preparing data for Tableau.Mini Crash Course: Fast-Track Learning for Beginners: Included as a supplementary module, this focused crash course introduces Tableau's core concepts in under 2 hours-perfect for quick onboarding or revision. Topics include unions, geospatial data integration, string parsing from JSON, and creating histograms, dashboards, and filters.Why This Course Stands OutProject-Based Curriculum: Each concept is taught through real-world scenarios and datasets.Step-by-Step Guidance: No prior experience needed-just follow along and build your skills.Instructor Expertise: Learn directly from a Senior Data Analyst actively working with large datasets, who uses Tableau and Python daily in his role.Comprehensive + Flexible: Take what you need-whether it's a deep dive or a quick skills boost.About the Instructor:Asad Raza Nayani is a Senior Data Analyst with over 3 years of experience in the field. He has a strong background as a Software Engineer, having worked at notable companies like Citi and Revature. Asad is proficient in a variety of technologies, including ETL, Java, API Development, Spring Boot, Apache Spark, Angular, and Oracle Database.Currently, Asad is a Data Analyst and Senior Fraud Strategy Consultant at Citizens. In this role, he utilizes tools such as Tableau, Oracle Database, Pandas, Alteryx, and Python to analyze data and develop strategies to combat fraud.At Job Ready Programmer, Asad is passionate about teaching and mentoring students. He focuses on imparting knowledge in the latest technologies, including Tableau, to help students stay current with industry trends and enhance their skills in data analysis and visualization.Start Your Data Visualization JourneyJoin the course today to master Tableau from the ground up-and start turning your data into clear, actionable insights that drive results.
