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Complete Tableau Course: Data Visualization & Business Intelligence

Tableau is a powerful data visualization and business intelligence tool that helps organizations transform raw data into interactive and insightful dashboards. With its user-friendly drag-and-drop interface, Tableau enables professionals to create dynamic reports, charts, and graphs without requiring extensive coding knowledge. It seamlessly connects with various data sources, including databases, spreadsheets, and cloud services, allowing users to analyze trends, uncover patterns, and make data-driven decisions with ease.

In today’s data-driven world, Tableau is widely used across industries such as finance, healthcare, marketing , and retail to gain actionable insights. Whether you are a beginner looking to explore data visualization or an advanced user aiming to master complex analytics, learning Tableau equips you with the skills to create compelling dashboards and reports.

Course

4.9 (8084)

Learners

12817

MNC's Expert Trainer

Exp. 15+Yrs.

Upskill with

Internship

What’s included in this Course

2 months duration hands-on practice

Live project training

Interview Preparations

150+ Assignments

Online & Offline Training

500+ Questions for Exercise

Schedule Your Free Trial Class

  8130903525      8130805525

The Value of TableAU Certification for Companies

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Tableau certification is highly valued in the field of data analytics and business intelligence, as it validates your expertise in data visualization, reporting, and dashboard creation. Earning a Tableau certification demonstrates your ability to work with large datasets, perform complex calculations, and generate meaningful insights, making you a valuable asset to any organization. Certified professionals often have a competitive edge in the job market, as companies seek skilled individuals who can translate raw data into actionable business strategies.

At HighTech Solutions , we specialize in providing industry-focused training programs designed to equip learners with in-demand technical skills. Our Tableau course is crafted by experts to help students and professionals master data visualization and business intelligence concepts. With hands-on training, real-world projects, and expert guidance, we ensure that learners gain practical experience in using Tableau effectively.

Detailed Course Content

Overview of Tableau & its role in Data Visualization
Installing and Setting Up Tableau
Understanding the Tableau Interface & Workspace
Navigating Sheets, Dashboards, and Stories
Connecting to Various Data Sources

Importing data from Excel, CSV, SQL, and other sources
Data extraction, blending, and joining
Understanding data types and field properties
Data cleaning and transformation techniques
Handling missing values and nulls

Creating basic charts (Bar, Line, Pie, Scatter)
Working with filters and sorting
Formatting visualizations (colors, labels, tooltips)
Grouping and sets for data segmentation

Dual-axis and combination charts
Tree maps, bullet charts, and box plots
Heatmaps, Gantt charts, and custom visualizations
Creating interactive dashboards

Introduction to Calculated Fields
Basic arithmetic and logical calculations
String and date functions
Aggregate calculations and advanced expressions

Understanding dimensions vs. measures
Introduction to Level of Detail (LOD) expressions
Fixed, INCLUDE, and EXCLUDE LOD calculations
Practical examples and best practices

Introduction to Table Calculations
Quick table calculations (running total, moving average)
Advanced table calculation techniques
Trend analysis and forecasting

Creating maps in Tableau
Plotting geographic data and customizing map layers
Using spatial functions and mapping APIs
Advanced geographic analysis techniques

Introduction to parameters in Tableau
Creating dynamic views using parameters
Parameter actions for interactive dashboards
Integrating parameters with calculated fields

Designing interactive dashboards
Layout and formatting best practices
Using actions (filter, highlight, URL) for interactivity
Crafting data-driven stories

Time-series analysis in Tableau
Creating time-based calculated fields
Moving averages and trend lines
Forecasting techniques in Tableau

Understanding data blending vs. joins
Techniques for joining multiple data sources
Managing data relationships effectively
Resolving data conflicts in blended datasets

Best practices for optimizing dashboards
Reducing extract refresh times
Using Tableau Performance Recorder
Handling large datasets efficiently

Integrating Tableau with R and Python
Running predictive models and statistical analysis
Sentiment analysis and text mining
Building machine learning models in Tableau

Comparing Tableau with other BI tools
Market trends and competitive analysis
Performance and pricing comparisons
Case studies from various industries

Connecting to real-time data sources
Publishing dashboards to Tableau Server and Tableau Online
Scheduling data refreshes and automating updates
Differences between Tableau Public and Server

Data security best practices in Tableau
Implementing Row-Level Security (RLS)
Managing user roles and permissions
Embedding Tableau dashboards in web applications

Capstone project: End-to-end dashboard development
Real-world case study challenges
Peer review and feedback sessions
Final project submission & certification