Learn Data Analytics and Visualization with Tableau from A-Z
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.52 GB
Genre: eLearning Video | Duration: 61 lectures (3 hour, 37 mins) | Language: English
Learn Data Visualization and Analytics Using Tableau from the basic to advanced level using Real-Life Projects

What you'll learn

    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

Requirements

    Basic knowledge of using your computer operating system

Description

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.

Who this course is for:

    All who need to learn Data Visualization for business and researches

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