Course curriculum

  • 1

    Tableau Essentials: From Foundations to Visualization Master

    • Introduction to Instructor and Tableau
    • Importance of Tableau
    • What is tableau
    • UseCase
  • 2

    Tableau Fundamentals

    • Installation and Setup
    • UI Tour
    • Import Data from Various Data Sources (Excel, CSV, etc.)
    • Explore Data Pane and Data Source Pane
  • 3

    Tableau Functions

    • Functions (Presentation Canva)
    • Basic Functions (ABS, Ceiling, Floor, Max, Min, Div, ZN)
    • String Functions (Contains, endswith, find, findnth, len, lower, upper, split, trim)
    • Date Functions (Dateadd, DateDiff, Datename, Day, Month, Year, isdate, Makedate, Maketime, Makedatetime, Now)
    • Aggregate Functions (avg, max, median, min, sum)
    • Logical Functions (if, and, else, or)
  • 4

    Mastering Visualizations

    • Visualizations – Bar Chart
    • Visualizations – Line Chart
    • Visualizations – Bullet Chart
    • Visualizations – Text Table
    • Visualizations – Gantt Chart
    • Visualizations – Pie Chart
    • Visualizations – Scatter Plot
    • Visualizations – Area Chart
    • Visualizations – Dual Axis Chart
    • Visualizations – Bubble Chart
  • 5

    Exploring Geographic Mapping

    • Introduction to Geo Data Visualization
    • Geographic Mapping
    • Customizing Map Layers and Styles
    • Creating a Dashboard
  • 6

    End-to-End Project Implementation

    • Starting the Projects
    • PROJECT Part 1
    • PROJECT Part 2
    • PROJECT Part 3
    • PROJECT Part 4
    • PROJECT Part 5
  • 7

    Mastering Data Publication and Collaboration with Tableau Cloud

    • Publishing to Tableau Cloud
  • 8

    Data Analysis Using Python: Practical Skills and Projects

    • Introduction to Course
    • Course Content
  • 9

    Introduction to Numpy

    • Introduction to Numpy
    • key Features
    • Array vs List
    • Array Attributes
    • Array Slicing Reshaping
    • Stacking Adding
    • Copy View
    • Advance Slicing
    • Universal Functions
    • Missing Data
  • 10

    Introduction to Pandas

    • Introduction to Pandas
    • Dataframe Methods
    • Install Import Read
    • Data Filtration
    • Sorting Data
    • Casting Types
    • Arithmetic Operations
    • Concat Data
    • Duplicate Handling
    • Missing Handle
    • Groupby Aggregate
  • 11

    Data Visualization with Plotly

    • Introduction to Plotly
    • Fundamentals Plotly
    • Scatter Line Plots
    • Pie Bar Histogram Plots
    • Cutomizable Plots
    • Interactive Subplots
  • 12

    Introduction to Project

    • introduction to project
    • key Features
    • Pre Processing
    • Top Installed Categories
    • Top Installed Apps
    • Top Rated Apps
    • Distribution Free vs Paid
    • Rating in Free vs Paid
    • Price Free vs Paid