Python to Tableau: Mastering Data Analysis & Visualization
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1
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Introduction to Instructor and Tableau
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Importance of Tableau
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What is tableau
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UseCase
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2
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Installation and Setup
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UI Tour
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Import Data from Various Data Sources (Excel, CSV, etc.)
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Explore Data Pane and Data Source Pane
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3
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Functions (Presentation Canva)
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Basic Functions (ABS, Ceiling, Floor, Max, Min, Div, ZN)
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String Functions (Contains, endswith, find, findnth, len, lower, upper, split, trim)
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Date Functions (Dateadd, DateDiff, Datename, Day, Month, Year, isdate, Makedate, Maketime, Makedatetime, Now)
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Aggregate Functions (avg, max, median, min, sum)
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Logical Functions (if, and, else, or)
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4
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Visualizations – Bar Chart
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Visualizations – Line Chart
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Visualizations – Bullet Chart
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Visualizations – Text Table
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Visualizations – Gantt Chart
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Visualizations – Pie Chart
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Visualizations – Scatter Plot
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Visualizations – Area Chart
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Visualizations – Dual Axis Chart
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Visualizations – Bubble Chart
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5
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Introduction to Geo Data Visualization
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Geographic Mapping
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Customizing Map Layers and Styles
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Creating a Dashboard
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6
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Starting the Projects
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PROJECT Part 1
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PROJECT Part 2
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PROJECT Part 3
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PROJECT Part 4
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PROJECT Part 5
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7
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Publishing to Tableau Cloud
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8
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Introduction to Course
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Course Content
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9
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Introduction to Numpy
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key Features
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Array vs List
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Array Attributes
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Array Slicing Reshaping
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Stacking Adding
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Copy View
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Advance Slicing
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Universal Functions
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Missing Data
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10
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Introduction to Pandas
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Dataframe Methods
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Install Import Read
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Data Filtration
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Sorting Data
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Casting Types
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Arithmetic Operations
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Concat Data
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Duplicate Handling
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Missing Handle
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Groupby Aggregate
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11
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Introduction to Plotly
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Fundamentals Plotly
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Scatter Line Plots
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Pie Bar Histogram Plots
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Cutomizable Plots
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Interactive Subplots
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12
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introduction to project
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key Features
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Pre Processing
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Top Installed Categories
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Top Installed Apps
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Top Rated Apps
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Distribution Free vs Paid
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Rating in Free vs Paid
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Price Free vs Paid