Data Visualization with Tableau

Overview
Curriculum
Instructor
FAQs

Course Overview

By completing the Introduction to Tableau course, you will develop an appreciation for the significance of data visualizations. In addition to learning how to preprocess data, this course teaches you how to integrate data from multiple tables within the same data source and from other Tableau Public sources. Upon completion of this course, you will possess the knowledge and abilities necessary to utilize data visualization as an effective instrument for reaching well-informed conclusions.

Those interested in gaining a foundational understanding of Tableau for entry-level positions, such as data reporting analyst or business intelligence analyst, should enroll in this course. Prior knowledge of Tableau Public is not mandatory; however, it is not an absolute necessity; one can achieve success with this program even if they are completely unfamiliar with the platform.

By the end of this course, learners will be able to:

Explain the importance of data visualizations in business analytics.
Preprocess and clean data in Tableau Public.
Combine data from multiple tables and external sources.
Build meaningful dashboards for decision-making.

Requirements

None (No prior Tableau knowledge required)

Features

Hands on Experience of working on Tableau Public.

Target audiences

Aspiring Data Reporting Analysts, Business Intelligence Analysts

Curriculum

5 Sections
5 Lessons
20 Hours

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Session 1: Introduction to Tableau and Data Visualization (4 hours)
1
- 1.1
  Topics:
  What is Tableau? Why use it?
  Role of data visualization in business analytics
  Introduction to Tableau Public interface
  Connecting to data sources (CSV, Excel, etc.)
  Hands-on: Connect to sample data and create your first visualization (bar, pie, line charts)
Session 2: Data Pre processing in Tableau (4 hours)
1
- 2.1
  Topics:
  Understanding data types and field properties
  Data interpreter and data cleaning
  Renaming, grouping, and splitting data
  Using calculated fields and basic functions
  Hands-on: Clean and transform a messy dataset
Session 3: Working with Multiple Tables (Joins, Blends, Relationships) (4 hours)
1
- 3.1
  Topics:
  Combining data from multiple tables (joins and blends)
  Understanding data relationships in Tableau
  Primary vs. secondary data sources
  Hands-on: Join sales and customer tables, perform calculations
Session 4: External Data Integration and Advanced Visualization Techniques (4 hours)
1
- 4.1
  Topics:
  Importing external datasets (Tableau Public Gallery, Excel, Google Sheets)
  Advanced chart types: heat maps, maps, scatter plots
  Filters, parameters, and hierarchies
  Hands-on: Build a multi-source dashboard using internal and external data
Session 5: Dashboard Design, Storytelling, and Capstone Project (4 hours)
1
- 5.1
  Topics:
  Best practices for dashboard and story design
  Interactive elements: filters, actions, tooltips
  Publishing and sharing dashboards on Tableau Public
  Capstone project briefing and presentations
  Hands-on: Build and present a business dashboard based on a real-world dataset

Instructor

Academy team

142 Students

8 Courses

Yes, there will be a certificate of completion on understanding of Tableau.

We are living in the era of Data and every company need good data analyst having proficiency in Tableau. So, yes after this course your chances of getting a good data analyst job will be increased.

₹ 25,000.00₹ 11,000.00

₹ 25,000.00

Duration 20 hour
Lessons 5
Quizzes 0
Language English
Skill level intermediate
Certificate yes

Full lifetime access