Learn Data Analytics and Visualization with Tableau from A-Z
- 4.2
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Brief Introduction
Learn Data Visualization and Analytics Using Tableau from the basic to advanced level using Real-Life ProjectsDescription
Converting raw data to insightful diagrams and charts to make informative decisions is a crucial analytical skill in data science. You will find in this course all what you need to learn about creating powerful diagrams and practicing data analytics. First, you will learn about data visualization, installing Tableau and use main menus and functions. You will learn, also, how to connect to different data sources and formats and make the necessary data preparation to create diagrams and charts. After that, you will learn more advanced features, such as: data joins and blending, calculated fields, dual axis, table calculation and more. After completing this course you will be confidently add Tableau to the list of your analytical skills in the resume.
Requirements
- Requirements
- Basic knowledge of using your computer operating system
Knowledge
- Install and use Tableau version
- Understand Data Visualization
- Create different types of diagrams and charts, such as Maps, Barcharts and more
- Learn all types of data joins and how to use them in your diagrams
- Create calculated fields
- Create dual Axis charts
- Create and use Table Calculation in Tableau
- Learn Data Preparation, such as: converting data types, split columns, converting measures to dimensions and more
- Work with time series data and understand granularity
- Connect to varied formats of data sources like XLS, CSV, JSON and more
- Deal with Geographical data and fix any issues with them
- Use some analytical tools in Table like Clustering
- Learn and use Data Blending in diagrams
- Create filters to focus on specific parts of data in charts and diagrams
- Create interactive dashboards and stories
Data Science Guide
4.2 Raiting
Learn Data Analytics and Visualization with Tableau from A-Z
- 4.2
-
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