What you'll learn
Apply advanced calculations to gain additional insight into your data
Incorporate advanced chart types into your analysis.
Apply advanced dashboarding techniques
Use calculations, parameters, and table calculations in tandem
Explore real world business scenario examples.
Requirements
you will need a version of Tableau Desktop released within the last year, an Internet connection of 10Mbps or higher
Description
Certified Desktop Tableau Specialist & Data Analyst (CTSDA)Course Description: Welcome to the Certified Desktop Tableau Specialist & Data Analyst (CTSDA) course! This comprehensive online training program is designed to equip you with the essential skills and knowledge required to become a proficient Tableau specialist and data analyst. Whether you are a beginner or have some experience in data analysis, this course will take you on a journey from foundational concepts to advanced techniques, enabling you to unlock the power of Tableau for visualizing and analyzing data.Throughout this course, you will learn how to navigate the Tableau interface, connect to various data sources, and create interactive visualizations. You will gain a deep understanding of data manipulation, including filtering, grouping, and aggregating data to extract meaningful insights. Moreover, you will explore advanced features of Tableau, such as calculations, parameters, and dashboards, to create compelling and impactful visualizations.The CTSDA course is designed with a hands-on approach, allowing you to apply your knowledge through practical exercises and real-world scenarios. You will work on industry-relevant datasets and learn how to interpret data effectively to make data-driven decisions. Additionally, you will explore best practices for data visualization and storytelling, ensuring that your insights are communicated clearly and effectively to your audience.By the end of this course, you will have developed the skills to pass the Certified Desktop Tableau Specialist (CDTS) exam, and you will be well-equipped to pursue a career as a Tableau specialist and data analyst. Join us on this learning journey and unlock the power of Tableau to transform raw data into actionable insights.Enroll now and take the first step towards becoming a Certified Desktop Tableau Specialist & Data Analyst (CTSDA)!
Overview
Section 1: Introduction to Tableau and Getting Started
Lecture 1 Getting Started
Lecture 2 Tableau Interface
Lecture 3 Distributing and Publishing
Section 2: Tableau Prep
Lecture 4 Getting Started with Tableau Prep
Lecture 5 Tableau Prep Interface
Lecture 6 Input Step
Lecture 7 Cleaning Step
Lecture 8 Grouping and Replacing
Lecture 9 The Profile Pane
Lecture 10 The Pivot Step
Lecture 11 Aggregate Step
Lecture 12 Join Step
Lecture 13 Union Step
Lecture 14 Output Step
Section 3: Connecting to Data
Lecture 15 Getting Started with Data
Lecture 16 Meta Data and Extracts
Lecture 17 Managing Extracts
Lecture 18 Connecting to Cubes
Lecture 19 Saving and Publishing Data Sources
Lecture 20 Connect to Data from Web
Lecture 21 Data Prep with Text and Excel Files
Lecture 22 Join Types with Union
Lecture 23 Cross Database Joints
Lecture 24 Data Blending
Lecture 25 Connecting to Cubes
Section 4: Visual Analytics
Lecture 26 Getting Starting with Visual Analytics
Lecture 27 Drill down Hirerachies
Lecture 28 Sorting
Lecture 29 Grouping
Lecture 30 Working with Sets
Lecture 31 Ways to Filter
Lecture 32 Using the Filter Shelf
Lecture 33 Interactive Filters
Lecture 34 Where Tableau Filters
Lecture 35 Additional Filtering topics
Lecture 36 Parameters
Lecture 37 Formatting
Lecture 38 The Formatting Pane
Lecture 39 Basic Tool tips
Lecture 40 Viz in Tool Tip
Lecture 41 Trend Line
Lecture 42 Reference Line
Lecture 43 Forecasting
Lecture 44 Clustering
Lecture 45 Analysis with Cubes and MDX
Section 5: Dashboard and Stories
Lecture 46 Getting Started with Dashboard and Stories
Lecture 47 Building Dashboard
Lecture 48 Dashboard Interactivity Using Actions
Lecture 49 Dashboard Objects
Lecture 50 Dashboard Formatting
Lecture 51 Device Designer
Lecture 52 Story Points
Section 6: Mapping
Lecture 53 Getting Started with Mapping
Lecture 54 Maps in Tableau
Lecture 55 Editing Un Recongnized Locations
Lecture 56 Spatial files
Lecture 57 Expanting Tablieau_s mapping capabilities
Lecture 58 Custom geocoding
Lecture 59 Polygon maps
Lecture 60 Mapbox integration
Lecture 61 WMS WWB mapping service
Lecture 62 Background Images
Section 7: Calculations
Lecture 63 Getting started with calclation
Lecture 64 Syntax files
Lecture 65 Introduction_to_lod_expressions
Lecture 66 Intro_to_table_calculations
Lecture 67 Modifying_table_calculations
Lecture 68 Aggregate_calculations
Lecture 69 Date_calculations
Lecture 70 Logic_calculations
Lecture 71 String_calculations
Lecture 72 Number_calculations
Lecture 73 Type_calculations
Lecture 74 Level of Details Expressions (LOD)
Lecture 75 Aggregation and Replication with LOD Expressions
Lecture 76 Nested_lod_expressions
Lecture 77 How_to_integrate_r_and_tableau
Lecture 78 Using_r_within_tableau
Section 8: Why is Tableau doing that
Lecture 79 Understanding Pill Types
Lecture 80 Measure Names and Measure Values
Lecture 81 Aggregation, Granularity, Ratio Calculations
Lecture 82 Fixing Incorrect Sorts
Lecture 83 Filtering_for_top_across_panes
Lecture 84 When_to_blend_and_when_to_join
Section 9: How to create LOD
Lecture 85 Finding Second Purchase Date with LOD Expressions_
Lecture 86 Using a Paramter to Change Fields
Lecture 87 Cleaning Data by Bulk Re Aliasing
Lecture 88 Control Charts
Lecture 89 Bollinger Bands
Lecture 90 Bump Charts
Lecture 91 Funnel Charts
Lecture 92 Pareto Charts
Lecture 93 Step and Jump Lines
Lecture 94 Waterfall_charts_transcript
Section 10: Publish to Tableau Online
Lecture 95 Publishing to Tableau Online
Lecture 96 Device Designer
Lecture 97 Introduction to the Tableau JavaScript API
Section 11: Publish to Tableau Server
Lecture 98 Publishing to Tableau Server
Beginners in Data Analysis: If you are new to the field of data analysis and want to learn how to effectively analyze and visualize data, this course provides a solid foundation,spiring Data Analysts: If you aspire to become a professional data analyst, this course will equip you with the necessary skills and knowledge to succeed,Business Professionals: Professionals from various industries, such as marketing, finance, sales, and operations, can benefit from this course.,Excel Users: If you are proficient in Microsoft Excel and want to expand your data analysis capabilities, this course will help you transition to Tableau.,Anyone Seeking Tableau Certification: If you are preparing for the Certified Desktop Tableau Specialist (CDTS) exam, this course provides comprehensive coverage of the exam topics.


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