Tableau with SQL

    Collab – Online Learning Platform

    Tableau with SQL

    • In this course, we are going to learn about Tableau and SQL, with a focus on providing hands-on practical experiences. Additionally, we offer assistance for certifications in these areas to help students validate their skills and expertise

    Tableau & SQL Certification Preparation

    • Overview of Tableau and SQL Certification Tracks.
    • Exam Structure and Format
    • Study Materials and Resources
    • Practice Exams and Mock Tests.
    • Tips for Successful Exam Preparation.

    Tableau BI Topics

    Module 1

    Introduction to Data visualization and the power of Tableau
    • What is data visualization?
    • Comparison and benefits against reading raw numbers
    • Real use cases from various business domains Some quick and powerful examples using Tableau without going into the technical details of Tableau
    • Installing Tableau
    • Tableau interface

    Module 2

    • Interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane, etc.)
    • Tableau field types
    • Saving and publishing a data source
    • Live vs extract connection
    • Various file types
    • The ways to share and export the work done in Tableau

    Module 3

    • Basic Charts
    • Customized Charts
    • Dual axes graphs

    Module 4

    • Connecting to Data Source
    • Tableau data types
    • Connection to Excel
    • Cubes and PDFs
    • Management of metadata and extracts
    • Data preparation Joins (Left, Right, Inner, and Outer) and Union
    • Dealing with NULL values, cross-database joining, data extraction, data blending, refresh extraction, incremental extraction, how to build extract, etc.
    • Advanced joins

    Module 5

    • Mark and highlight
    • Groups
    • Sets (creating and editing sets, IN/OUT)
    • Bins
    • Hierarchies
    • Folders
    • Sorting and Types
    • Using the Formatting pane to work with the menu, fonts, alignments, settings, etc.
    • 5.9 Editing axes and annotations

    Module 6

    • Filters (addition and removal)
    • Filtering continuous dates, dimensions, and measures
    • Filtering in Tableau
    • Types of filters
    • Filtering the order of operations
    • Top N and Conditional Filters
    • Combined Sets as Filters
    • Filtering by Hierarchies
    • Cross Database Filters

    Module 7

    • K-means cluster analysis
    • Trend and reference lines
    • Visual analytics in Tableau
    • Forecasting, confidence interval, reference lines, and bands
    • Parameters and Dynamic Input
    • Advanced Calculations

    Module 8

    • Working on coordinate points
    • Plotting longitude and latitude
    • Editing unrecognized locations
    • Customizing geocoding, polygon maps, WMS: web mapping services
    • Working on the background image, including add image
    • Plotting points on images and generating coordinates from them
    • Map visualization, custom territories
    • How to create map projects in Tableau
    • Creating dual axes maps, and editing locations
    • Background Images for Non-Geographical Data
    • Dynamic Maps with Parameters
    • Layer Blending on Maps
    • Real-Time Data and Live Maps
    • Path Analysis

    Module 9

    • Calculation syntax and functions in Tableau
    • Various types of calculations, including Table, String, Date, Aggregate, Logic, and Number
    • Levels of details: fixed level, lower level, and higher level Quick table calculations
    • The creation of calculated fields
    • Quick LODs
    • String Manipulation
    • Date Calculations and Date Functions
    • Table Calculations Beyond Quick Table Calculations
    • Aggregation within Calculated Fields
    • Advanced Logical Calculations

    Module 10

    • Creating parameters
    • Parameters in calculations
    • Using parameters with filters
    • Column selection parameters
    • Chart selection parameters
    • How to use parameters in the filter session
    • How to use parameters in the reference line
    • Dynamic Axis Range with Parameters
    • Parameter Swapping
    • Dynamic Set Creation with Parameters
    • Parameter-driven Calculations
    • Relative Date Filtering with Parameters

    Module 11

    • What is a dashboard?
    • Building and formatting a dashboard using size, objects, views, filters, and legends
    • Best practices for making creative as well as interactive dashboards using the actions
    • Creating stories
    • Adding annotations with descriptions; dashboards and stories
    • Highlight actions, URL actions, and filter actions
    • Selecting and clearing values
    • Dashboard examples using Tableau workspace and Tableau interface
    • Filter Actions with Multiple Data Sources
    • Dashboard Performance Optimization
    • Dashboard Extensions
    • Dynamic Titles and Headers

    Module 12

    • Introduction to Tableau Prep
    • How Tableau Prep helps quickly combine join, shape, and clean data for analysis
    • Creation of smart examples with Tableau Prep
    • Getting deeper insights into the data with great visual experience
    • Making data preparation simpler and accessible
    • Integrating Tableau Prep with Tableau analytical workflow
    • Data Source Filters in Tableau Prep
    • Data Cleaning Techniques in Tableau Prep
    • Advanced Join and Union Operations in Tableau Prep
    • Regular Expressions in Tableau Prep
    • Data Sampling and Profiling in Tableau Prep
    • Custom Calculations in Tableau Prep

    SQL Topics

    Module 1

    Introduction to SQL
    • Various types of databases
    • Introduction to Structured Query Language
    • Distinction between client server and file server databases
    • Understanding SQL Server Management Studio
    • SQL Table basics
    • Data types and functions
    • Transaction-SQL
    • Authentication for Windows
    • Data control language
    • The identification of the keywords in T-SQL, such as Drop Table
    • Introduction to SQL Commands
    • Normalization in Databases
    • Stored Procedures and Triggers in T-SQL

    Module 2

    • Entity-Relationship Model
    • Entity and Entity Set
    • Attributes and types of Attributes
    • Entity Sets
    • Relationship Sets
    • Degree of Relationship
    • Mapping Cardinalities, One-to-One, One-to-Many, Many-toone, Many-to-many
    • Symbols used in E-R Notation
    • Foreign Key Constraints:
    • Primary Key Constraints
    • Stored Procedures
    • Normalization
    • Denormalization

    Module 3

    • Introduction to relational databases
    • Fundamental concepts of relational rows, tables, and columns
    • Several operators (such as logical and relational), constraints, domains, indexes, stored procedures, primary and foreign keys
    • Understanding group functions
    • The unique key
    • Data Integrity
    • Triggers in SQL
    • Database Design Principles

    Module 4

    • Advanced concepts of SQL tables
    • SQL functions
    • Operators & queries
    • Table creation
    • Data retrieval from tables
    • Combining rows from tables using inner, outer, cross, and self joins
    • Deploying operators such as intersect, except, union,
    • Temporary table creation
    • Set operator rules
    • Table variables

    Module 5

    • Understanding SQL functions what do they do?
    • Scalar functions
    • Aggregate functions
    • Functions that can be used on different datasets, such as numbers, characters, strings, and dates
    • Inline SQL functions
    • General functions
    • Duplicate functions
    • Mathematical Functions
    • String Functions
    • Date and Time Functions

    Module 6

    • Understanding SQL subqueries, their rules
    • Statements and operators with which subqueries can be used
    • Using the set clause to modify subqueries
    • Understanding different types of subqueries, such as where, select, insert, update, delete, etc.
    • Methods to create and view subqueries
    • Common Table Expressions
    • Stored Procedures and Functions
    • Database Transactions

    Module 7

    • Learning SQL views
    • Methods of creating, using, altering, renaming, dropping, and modifying views
    • Understanding stored procedures and their key benefits
    • Working with stored procedures
    • Studying user-defined functions
    • Error handling
    • Indexes and Performance Optimization
    • Subqueries
    • Temporal Tables

    Module 8

    • User-defined functions
    • Types of UDFs, such as scalar
    • Inline table value
    • Multi-statement table
    • Stored procedures and when to deploy them
    • What is rank function?
    • Triggers, and when to execute triggers?
    • Views in SQL
    • Materialized Views
    • SQL Indexing

    Module 9

    • Records grouping, advantages, searching, sorting, modifying data
    • Clustered indexes creation
    • Use of indexes to cover queries
    • Common table expressions
    • Index guidelines

    Module 10

    • Correlated Subquery, Grouping Sets, Rollup, Cube, Rank, CTE, Indexes And Triggers Correlated Subquery, Rollup, Grouping set And Cubes

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