Previous experience with data analysis tools and basic understanding of data science concepts are beneficial but not essential for this course. Embark on an insightful journey to master Tableau for Data Science workflows, learning how to effectively visualize, analyze, and glean insights from large dat...
在学习过SQL之后,建议同学们学一些数据可视化工具,比如Microsoft的Power Bi或是Tableau。这个课程是Coursera上最棒的Tableau教程,一起来看看。 授课大纲: Course 1 - Fundamentals of Visualization with Tableau Course 2 - Essential Design Principles for Tableau Course 3 - Visual Analytics with Tableau Course 4 ...
Perform and Evaluate: The End Game At the end of the course, the learners put their newly developed skills to test with a friend or fellow MOOC participant from another part of the world. Level : Beginner Duration : 16 hours Rating : 4.8 ...
This course is part of the Use Tableau for Your Data Science Workflow Specialization. Syllabus Multivariate Visualization Methods For all but the simplest datasets, complex analytics requires a multivariate understanding of the data being studied. Visual interactivity with the data is a key component of...
和工具（电子表格、SQL、R 编程、Tableau）了解如何清理和组织数据进行分析，并使用电子表格、SQL 和 R...
The course is structured as 4 weekly modules that comprise of 38 short lecture videos in total, with a few problems to solve after each lecture. There is an abundance of assessment and practice quizzes, solutions to which can be found in instructor-provided lecture notes. ...
Business intelligence (BI) platforms like Tableau and IBM Cognos Databases such as MySQL, PostgreSQL, and MongoDB SQL for querying and managing databases Additionally, you’ll learn how to design and implement data architectures, explore relational database management systems (RDBM...
Course Orientation You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course. Week 1: The Computer and the Human In this week's module, you will learn what data visualization is...
By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles t
These lectures and readings give you an introduction to this course: its philosophy, organization, and load. They also tell you how the assignments are a significant part of the class. This week covers the common input/output organization of the assignments, how they are graded, and how to ...