Our Location
India,
EMI Starting At
Total Program Fee
Learning Period
Already Enrolled
1.1 Comparison and benefits against reading raw numbers
1.2 Real use cases from various business domains
1.3 Some quick and powerful examples using Tableau without goin
1.4 Installing Tableau
1.5 Tableau interface
1.6 Connecting to Data Source
1.7 Tableau data types
1.8 Data preparation
2.1 Installation of Tableau
2.2 Desktop Architecture of Tableau
2.3 Interface of Tableau (Layout, Toolbars, Data Pane, Analytic
2.4 How to start with Tableau
2.5 The ways to share and export the work done in Tableau
3.1 Connection to Excel
3.2 Cubes and PDFs
3.3 Management of metadata and extracts
3.4 Data preparation
3.5 Joins (Left, Right, Inner, and Outer) and Union
3.6 Dealing with NULL values, cross-database joining, data extr
4.1 Mark, highlight, sort, group, and use sets (creating and ed
4.2 Constant sets
4.3 Computed sets, bins, etc
5.1 Filters (Addition and removal)
5.2 Filtering continuous dates, dimensions, and measures
5.3 Interactive Filters, marks card, and hierarchies
5.4 How to create folders in Tableau
5.5 Sorting in Tableau
5.6 Types of sorting
5.7 Filtering in Tableau
5.8 Types of filters
5.9 Filtering the order of operations
6.1 Using Formatting Pane to work with menu, fonts, alignments,
6.2 Formatting data using labels and tooltips
6.3 Edit axes and annotations
6.4 K-means cluster analysis
6.5 Trend and reference lines
6.6 Visual analytics in Tableau
6.7 Forecasting, confidence interval, reference lines, and band
7.1 Working on coordinate points
7.2 Plotting longitude and latitude
7.3 Editing unrecognized locations
7.4 Customizing geocoding, polygon maps, WMS: web mapping servi
7.5 Working on the background image, including add image
7.6 Plotting points on images and generating coordinates from t
7.7 Map visualization, custom territories, map box, WMS map
7.8 How to create map projects in Tableau
7.9 Creating dual axes maps and editing locations
8.1 Calculation syntax and functions in Tableau
8.2 Various types of calculations, including Table, String, Dat
8.3 LOD expressions, including concept and syntax
8.4 Aggregation and replication with LOD expressions
8.5 Nested LOD expressions
8.6 Levels of details: fixed level, lower level, and higher lev
8.7 Quick table calculations
8.8 The creation of calculated fields
8.9 Predefined calculations
8.10 How to validate
9.1 Creating parameters
9.2 Parameters in calculations
9.3 Using parameters with filters
9.4 Column selection parameters
9.5 Chart selection parameters
9.6 How to use parameters in the filter session
9.7 How to use parameters in calculated fields
9.8 How to use parameters in the reference line
10.1 Dual axis graphs
10.2 Histograms
10.3 Single and dual axis
10.4 Box plot
10.5 Charts: motion, Pareto, funnel, pie, bar, line, bubble, bu
10.6 Maps: tree and heat maps
10.7 Market basket analysis (MBA)
10.8 Using Show me
11.1 Building and formatting a dashboard using size, objects, v
11.2 Best practices for making creative as well as interactive
11.3 Creating stories, including the intro of story points
11.4 Creating as well as updating the story points
11.5 Adding catchy visuals in stories
11.6 Adding annotations with descriptions; dashboards and stori
v
11.7 What is a dashboard?
11.8 Highlight actions, URL actions, and filter actions
11.9 Various file types
11.10 Live vs extract connection
11.11 Saving as well as publishing data source
11.12 Tableau field types
11.13 Types of joins
11.14 Learning about Tableau joins
11.15 Dashboard examples; using Tableau workspace and Tableau i
11.16 Best practices to create dashboards
11.17 Selecting and clearing values
12.1 Introduction to Tableau Prep
12.2 How Tableau Prep helps quickly combine join, shape, and cl
12.3 Creation of smart examples with Tableau Prep
12.4 Getting deeper insights into the data with great visual ex
12.5 Making data preparation simpler and accessible
12.6 Integrating Tableau Prep with Tableau analytical workflow
12.7 Understanding the seamless process from data preparation t
13.1 Introduction to R language
13.2 Applications and use cases of R
13.3 Deploying R on the Tableau platform
13.4 Learning R functions in Tableau
13.5 The integration of Tableau with Hadoop
Earn a certificate backed by EDONCE, a recognized brand with industry and Government of India accreditation. Showcase your skills with a credential that enhances your professional credibility.
Learn from trainers with decades of hands-on experience across top companies. Our mentors are seasoned professionals who bring real-world insights into the classroom.
Get full access to placement services, including:
At EDONCE, certifications aren’t handed out — they’re earned. You’ll receive your official EDONCE Certificate only after completing all course modules and passing the final assessment. It’s a testament to your knowledge, effort, and dedication, not just your payment.
✅ 100% merit-based certification process
✅ Government & industry-recognized certificate
Our courses are designed to equip you for the real world. Each module is carefully crafted to enhance your understanding, build practical expertise, and improve your performance — whether you're applying for jobs, preparing for interviews, or growing in your current role.
Example:
Real-world projects | Interview readiness | Portfolio building
"After completing the course, I landed a job at Wipro within two months. The certificate and skills made all the difference!"
— ⭐️⭐️⭐️⭐️⭐️ Ishita M., EDONCE Alumnus
Your EDONCE Certificate is a symbol of your journey, and your achievement deserves to be celebrated.
We encourage you to:
Absolutely. Edonce is trusted by thousands of learners for delivering high-impact, industry-relevant education backed by expert mentorship, hands-on learning, and strong placement support.
Edonce caters to learners at every stage—from fresh graduates seeking career clarity to working professionals aiming for transitions or skill upgrades.
We go beyond video lessons. Edonce offers: Personalized mentorship from global industry leaders Live projects with real business challenges Globally recognized certifications Complete placement support to land your dream role
Each course comes with detailed modules, skill outcomes, and career paths. You can also book a free expert consultation to match your goals with the right course.
Yes. Our certificates are recognized by 1600+ mentors and hiring managers across top companies, boosting your visibility and credibility in both campus and corporate hiring.
Definitely. Many learners have transitioned into high-demand roles in product management, finance, analytics, and more—thanks to our practical case-based training and personalized coaching.
Our top-rated programs include:
Finance: Financial Modelling & Valuation Analyst
Product: Advanced Product Management
Operations: Lean Six Sigma Black Belt (SSBB), Green Belt (SSGB)
Analytics: Business Analytics with Python, Data Science with Python
We specialize in Finance, Product Management, Business Analytics, Operations, and Data Science—all tailored to current job market needs and emerging trends.
India,
+91
+91
@gmail.com
@gmail.com
Need Clarity? We’re Just a Message Away.