Data Visualization with Tableau, R and Python

Simpliv presents Data Visualization with Tableau, R and Python.

Data Visualization with Tableau, R and Python

Course Description

Data science doesn’t need to be the complex subject it is thought to be. Not with Simpliv, for sure. Understand when to use the right tools, how to connect to the right data source, how to connect Tableau Desktop with R to optimize the functions of R, packages, libraries and saved models. Also, you’ll learn to use Python scripts for your fields in Tableau in the same way as you do with R. This is an ideal course for becoming a complete data professional.

Course Details:

Target Audience

  • Professionals who are passionate about business intelligence, data visualization and data analytics.
  • Access Timeframe

    Lifetime

    Prerequisites

  • There are no prerequisites for taking this certification training course.
  • Certificate Info:

    Type of Certification

    Certificate of Completion

    Format of Certification

    Digital

    Professional Association/Affiliation

    Certificates are recognized by the Association of Simpliv

    Method of Obtaining Certification

    Upon successful completion of a course, the learner can download their certificate from their Learner Dashboard.

    Course Outline

    • Tableau products
    • Tableau architecture
    • Tableau file types
    • Tableau data types
    • My first bar chart
    • Formatting
    • Extract vs live
    • Database filters
    • A relation between Granularity and Aggregation
    • Line chart vs area chart
    • Normal filters
    • Scatter plots
    • Trend Lines - an explanation
    • Action filters
    • Action highlights
    • Difference between action filters and action highlights
    • Map chart
    • Histogram and bins
    • How to create dynamic bins
    • How to create variable size bins
    • Tree map
    • Donut chart
    • Box and whisker plots
    • Tableau dashboards
    • Tableau story
    • Difference between Tableau dashboard and Tableau story
    • Explaining the concept of data blending
    • Which scenarios we need to do data blending
    • Understanding sets
    • Static sets
    • Dynamic sets (parameters)
    • Combined sets
    • Dynamically change sheet label
    • Groups on idea
    • Reference lines
    • Dynamically move reference lines
    • Running total
    • Moving avg
    • First
    • Last
    • % of total etc
    • Explaining the concept of LODs
    • Include
    • Exclude
    • Fixed
    • Where to use which LOD functions
    • Creating employee dashboard using Oracle
    • Explaining how to integrate Tableau with R
    • Sheet as filters
    • Hiding the views
    • Changing the chart type dynamically
    • Changing the measure dynamically
    • Lollipop chart
    • Rank chart
    • Bump chart
    • Waterfall chart
    • Funnel charts

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