Tableau Certification Training Course
4.7 /5- Offered bySimplilearn
- Private Institute
- Estd. 2010
Tableau Certification Training Course at Simplilearn Overview
Duration | 56 hours |
Total fee | ₹33,750 |
Mode of learning | Online |
Credential | Certificate |
Tableau Certification Training Course at Simplilearn Highlights
- 56 hours of Applied Learning
- Lifetime access to self-paced learning
- Four real-time Industry projects
- Two simulation exams
- Dedicated project mentoring sessions
- 24*7 learning support
- 100% Money Back Guarantee
Tableau Certification Training Course at Simplilearn Course details
- Simplilearn?s Tableau eLearning course is well suited for professionals willing to gain expertise in the field of analytics, along with IT developers and testers, data analysts, data scientists, BI and reporting professionals, and project managers
- Tableau statistics
- Building interactive dashboards
- Arithmetic logical LOD calculations
- Heat map waterfall Pareto
- Clustering forecasting techniques
- Custom geocoding radial selections
- Special field types
- This Tableau certification course helps learner master Tableau Desktop, a world-wide utilized data visualization, reporting, and business intelligence tool
- Advance learner's career in analytics through our Tableau training and gain job-ready skills
- Tableau certification is highly regarded by companies for data-related jobs and our Tableau online course trains learner to use the tool effectively for preparing data, creating interactive dashboards, adding different dimensions, and drilling into outliers
Tableau Certification Training Course at Simplilearn Curriculum
Lesson 01: Course Introduction
1.01 Course Introduction
1.02 What will you learn
Lesson 02: Introduction to Data Visualization and Tableau
2.01 Learning Objectives
2.02 What is Business Intelligence
2.03 Data Visualization
2.04 Benefits of Visualizing Raw Data
2.05 History Of Data Visualization
2.06 Introduction to Tableau
2.07 Advantages and Disadvantages of Tableau
2.08 Download and Install Tableau Public
2.09 Load Data from Excel
2.10 User Interface of Tableau Public
2.11 Recap
Knowledge Check
Lesson 03: Connecting to Various Data Sources and Preparing Data
3.01 Learning Objectives
3.02 Connecting to Tableau Server
3.03 Types of Connections
3.04 Connecting to Different Data Source
3.05 Preparing Data for Analysis
3.06 Joins
3.07 Relationships
3.08 Union
3.09 Data Blending
3.10 Aggregation in Tableau
3.11 Pivot
3.12 Data Interpreter
3.13 Split
3.14 Creating extracts with multiple tables
3.15 Recap
Knowledge Check
Lesson 04: Working with Metadata
4.01 Learning Objectives
4.02 Data Types
4.03 Dimension vs Measures
4.04 Discrete vs. Continuous
4.05 Application of Discrete and Continuous Fields
4.06 Rename Hide Unhide and Sort Columns
4.07 Default Properties of Fields
4.08 Create Aliases
4.09 Recap
Knowledge Check
Lesson 05: Spotlight One
Spotlight
Lesson 06: Filters in Tableau
6.01 Learning Objectives
6.02 Dimension Filter
6.03 Measure Filter
6.04 Date Filter
6.05 Visual Filter
6.06 Interactive Filter
6.07 Data source Filter
6.08 Context Filter
6.09 Recap
Knowledge Check
Lesson 07: Structuring Data in Tableau
7.01 Learning Objectives
7.02 Sort
7.03 Group
7.04 Sets
7.05 Bins and Histogram
7.06 Hierarchies
7.07 Quick Recap
Knowledge Check
Lesson 08: Creating Charts and Graphs
8.01 Learning Objectives
8.02 Text table and Cross table
8.03 Highlight Tables
8.04 Heat Maps
8.05 Bar Chart
8.06 Stacked Bar Chart
8.07 Line Chart
8.08 Sparkline
8.09 Scatter Plot
8.10 Tree Map
8.11 Bubble chart
8.12 Word Cloud
8.13 Combined-Axis Chart
8.14 Dual-Axis Charts
8.15 Funnel Chart
8.16 Importance of Maps
8.17 Creating Maps with Tableau
8.18 How to Pan Zoom and Select in Tableau
8.19 Using Maps to Filter Data
8.20 Map Layering
8.21 Creating Custom Territories
8.22 Modifying Locations within Tableau
8.23 Geocoding
8.24 Using Background Image
8.25 Tableau Map Search
8.26 Recap
Knowledge Check
Lesson 09: Spotlight Two
Spotlight
Lesson 10: Calculations in Tableau
10.01 Learning Objectives
10.02 Types of Calculation
10.03 Ad-hoc Calculations
10.04 Table Calculations
10.05 Waterfall Chart
10.06 Pareto Chart
10.07 Built in Functions
10.08 Introduction to Level of Detail (LOD)
10.09 Fixed LOD
10.10 Include LOD
10.11 Exclude LOD
10.12 Nested LOD Expressions
10.13 Aggregation and Replication with LOD Expressions
10.14 Helper Functions
10.15 KPI Table
10.16 Recap
Knowledge Check
Lesson 11: Advanced Visual Analytics
11.01 Learning Objectives
11.02 Parameters
11.03 Creating Parameters
11.04 Parameters with Filters
11.05 Parameters in Calculations
11.06 Column Selection Parameters
11.07 Chart Selection Parameters
11.08 Tooltips
11.09 Tooltip Visualizations
11.10 Reference and Trend Lines
11.11 Reference Bands
11.12 Distribution Bands
11.13 Bullet Chart
11.14 Box Plot
11.15 Forecasting
11.16 Clustering
11.17 Reference Distributions
11.18 Statistical Summary Card
11.19 Instant Analytics
11.20 Recap
Knowledge Check
Lesson 12: Dashboards and Stories
12.01 Learning Objectives
12.02 Dashboard
12.03 Working with Layout
12.04 Objects in Dashboard
12.05 Dashboard Layouts and Formatting
12.06 Building Interactive Dashboard
12.07 Actions in Dashboard
12.08 Best Practices for Dashboard Creation
12.09 Dashboards for Mobile
12.10 Introduction to Storyboard
12.11 Creating and Updating Story Points
12.12 Publishing and Sharing Options
12.13 Recap
Knowledge Check
Lesson 13: Spotlight Three
Spotlight
Tableau Certification Training Course at Simplilearn Entry Requirements
- Learners need to possess an undergraduate degree or a high school diploma
Other courses offered by Simplilearn
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