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Data Science Courses
Tableau for Data Science with R and Python Integration
1 students
Last updated
Feb 2024
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Overview
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Course content
Sections:
8
•
Activities:
0
•
Resources:
38
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Section 1
Introduction
001-Introduction
Section 2
Preliminary Work Before Creating Interactive Dashboards
002-Installing Tableau-
003-Importing Data in Tableau
004-Dimensions and Measures Discreet vs Continuous
005-Data Interpreter Pivot
006-Prepare the Data Split
007-Create a Map Char
008-Introduction to Calculated Fields
009-Creating Text Tables
010-Creating Pie Charts
011-Animations in Tableau
Section 3
SQL in Tableau
012-Writing SQL scripts in Tableau
013-Inner Join in Tableau
014-Import Data into SQL Serve
Section 4
Creating Interactive Dashbaords
015-Creating Layouts
016-Create the Dashboards
017-Navigating Between Dashboards with Actions
Section 5
Advancing in Tableau
018-X Axis show all
019-Regular Expressions
020-Is it a Number or a String
021-Working with Dates
Section 6
Statistics for Data Science
022-Tableau for Data Science with R and Python Integration
024-P Value
025-Permutation Test
026-Variance
027-Standard Deviation
028-Percentiles
029-T Test
Section 7
Integrating R into Tableau
030-Introduction to R in Tableau
031-Setting Up The Environment
032-Using Script Functions
033-A Special Case of Linear Regression Straight Line
034-Create a Simple Linear Regression Model in R
035-Creating a Linear Regression Model with R in Tableau
Section 8
Integrating Python into Tableau
036-Introduction to Python in Tableau
037-Installing TabPy and Connecting TabPy Server to Tableau Desktop
038-Hosting Your Python Code on the TabPy Server
039-Performing Sentiment Analysis in Tableau using Python
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Tableau for Data Science with R and Python Integration
Course modified date:
14 Feb 2024
Enrolled students:
1
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