Online & Classroom

Tableau Training Course

Months Icon 3 Months
38 Modules
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Key Features

OSACAD is committed to bringing you the best learning experience with high-standard features including

Key Features
Real-time Practice Labs

Learning by doing is what we believe. State-of-the-art labs to facilitate competent training.

Key Features
Physical & Virtual Online Classrooms

Providing the flexibility to learn from our classrooms or anywhere you wish considering these turbulent times.

Key Features
24/7 Support On Slack

Technical or Technological, we give you assistance for every challenge you face round-the-clock.

Key Features
Job Interview & Assistance

Guiding in & out, until you get placed in your dream job.

Key Features
Live projects with our industry partners

An inside look & feel at industry environments by handling real-time projects.

Key Features
Internship after course

Opportunity to prove your talent as an intern at our partner firms and rope for permanent jobs.

Why Tableau ?

Why Data Science

It is best software for creating visual dashboards. Tableau products are continuously developed keeping in mind the ease of use.

Why Data Science

With Tableau you leverage the power of database easily. You can connect to database views. Tableau helps you optimize the query performance. Further, Tableau has sufficient inbuilt Extract, Transform and Loading features.

Why Data Science
You don’t need to do ANY CODING

Technically, you do not need to code in Tableau. Almost every functionality is possible using drag and drop. Tableau provides you with in-built table calculations to add complex analysis with a click of mouse.

Who is This program for

  • College Graduates who are looking to begin their career in Data Analysis
  • Data Scientists, Statisticians
  • Business Analysts, Project Managers
  • Business Intelligence & Testing Professionals
  • Data Visualization Analysts and Functional Experts Anyone who wish to embark on a career in analytics domain
Who is this program


Best-in-class content by leading faculty and industry leaders in the form of videos,
cases and projects, assignments and live sessions.

01 : Which Tableau Product Is Best for Me?

  • Tableau Desktop: Personal 8 Tableau Desktop: Professional
  • Tableau Reader
  • Tableau Public
  • Tableau Online
  • Tableau Server

02 : Introduction on Connecting to Data.

03 : Shaping Data for Use with Tableau.

04 : Getting a Lay of the Land

  • Tableau Terminology
  • View the Underlying Data
  • View the Number of Records

05 : Dimension Versus Measure.

  • What Is a Measure?
  • What Is a Dimension?

06 : Discrete Versus Continuous.

07 : Five Ways to Make a Bar Chart/An Introduction to Aggregation

08 : Line Graphs, Independent Axes, and Date Hierarchies.

  • How to Make a Line Graph in Tableau
  • Independent Axes in Tableau
  • Date Hierarchies in Tableau

09 : Marks Cards, Encoding, and Level of Detail.

  • An Explanation of Level of Detail
  • An Introduction to Encoding
  • Label and Tooltip Marks Cards

10 : Introduction to Filters

  • Intro
  • Dimension Filters in Tableau
  • Measure Filters in Tableau
  • More Options with Filters
  • Macro Filters

11 : Introduction to Calculated Fields

  • Why Use Calculated Fields?
  • More on Aggregating Calculated Fields

12 : Introduction to Table Calculations

13 : Introduction to Parameters

14 : Introduction to Sets

15 : Introduction to Level of Detail Expressions.

16 : Introduction to Dashboards and Distribution

17 : A Spreadsheet Is Not a Data Visualization.

18 : How to Make a Highlight Table

01 : How to Make a Heat Map.

02: How to Make a Dual-Axis Combination Chart

03 : How to Make a Scatter Plot

04 : How to Make a Tree Map

05 : How to Make Sparklines

06 : How to Make Small Multiples

07 : How to Make Bullet Graphs

08 : How to Make a Stacked Area Chart

09 : How to Make a Histogram

10 : How to Make a Box-and-Whisker Plot

11 : How to Make a Symbol Map with Mapbox Integration

12 : How to Make a Filled Map

13 : How to Make a Dual-Axis Map

14 : How to Map a Sequential Path

15 : How to Map Anything in Tableau

16 : How to Make Custom Polygon Maps

17 : How to Make a Gantt Chart

18 : How to Make a Waterfall Chart

19 : How to Make Dual-Axis Slope Graphs

20 : How to Make Donut Charts

21 : How to Make Funnel Charts

22 : Introducing Pace Charts in Tableau

23 : How to Make a Pareto Chart

24 : How to Make a Control Chart

25 : How to Make Dynamic Dual-Axis Bump Charts

26 : How to Make Dumbbell Charts

27 : How and Why to Make Customizable Jitter Plots

01 : How to Create Icon-Based Navigation or Filters

02 : How to Make a What-If Analysis Using Parameters

03 : Three Ways to Add Alerts to Your Dashboards

04 : How to Add Instructions or Methodology Using Custom Shape Palettes

05 : Ten Tableau Data Visualization Tips I Learned from Google Analytics

06 : Three Alternative Approaches to Pie Charts in Tableau

07 : How to Create and Compare Segments

08 : Five Design Tips for Enhancing Your Tableau Visualizations

09 : Leveraging Color to Improve Your Data Visualization

10 : Three Creative Ways to Use Dashboard Actions

11 : How to Conditionally Format Individual Rows or Columns

12 : Five Tips for Creating Efficient Workbooks

01 : Using Level of Detail Expressions to Create Benchmarks

02 : Designing Device-Specific Dashboards

03 : How to Make a Stoplight 100-Point Index

04 : The Case for One-Dimensional Unit Charts

05 : How to Highlight a Dimension

06 : Allow Users to Choose Measures and Dimensions

07 : How to Dynamically Format Numbers

08 : How to Change Date Aggregation Using Parameters

09 : How to Equalize Year-Over-Year Dates

10 : How to Filter Out Partial Time Periods

11 : How to Compare Two Date Ranges on One Axis

12 : How to Compare Unequal Date Ranges on One Axis

01 : How to Make a Cluster Analysis

02 : Five Tips for Making Your Tableau Public Viz Go Viral

03 : Leverage Search Engine Optimization (SEO)

04 : Three Ways to Make Beautiful Bar Charts in Tableau

05 : Three Ways to Make Lovely Line Graphs in Tableau

06 : Three Ways Psychological Schemas Can Improve Your Data Visualization

01 : Introducing the INSIGHT Framework for Data Visualization

02 : Identify the Business Question

03: Name KPIs

04 : Shape the Data

05 : Initial Concept. Creating an Initial Concept

06 : Gather Feedback

07 : Hone Dashboard

08 : Tell the Story

01: Introduction to Storytelling

02: A Data Visualization Competition—That’s Also an Analogy for the Data Visualization Process

03 : Know Your Audience

04 : Smooth the Excel Transition

05 : Leverage Color

06 : Keep It Simple

07 : Use the Golden Ratio

08 : Don’t Neglect the Setup

9 : Don’t Use Pie Charts

10 : Provide Visual Context

11 : Use Callout Numbers

12: Allow Discovery

13 :Balance Data and Design

14 : Eliminate Chartjunk (But Not Graphics)

15 : Use Freeform Dashboard Design

16 : Tell a Story

Hours of Content
Case Study & Projects
Live Sessions
Coding Assignments
Capstone Projects to Choose From
Tools, Languages & Libraries

Languages and Tools covered

Languages and Tools covered Languages and Tools covered Languages and Tools covered Languages and Tools covered Languages and Tools covered Languages and Tools covered

Hands On Projects

A Broader Analysis on Education System Across Globe

Building an Analytical Dashboard on Education System with all the features available in Tableau

NewZealand Regional Tourism Expenditure Analysis and Forecast

Building an Regional Tourism Dashboard to analyse different KPI's and performing Forecasting mechanism.

Indian COVID-19 Tracker

Build the interactive Dashboard for tracking the covid-19 cases in India via Regionwise, Statewise, Citywise, Districtwise using the live COVID-19 API

HR Analytics for Attrition Prediction using Logistic Regression

Employee Attrition is an important subject to gauge the satisfaction of the employee in a company. HR departments take various measures to arrest employee attrition.

Predicting Housing prices using Regression

Predict the sales price for each house based on input features provided for the house.
Industry: Real Estate
Tools: Linear Regression, Multi Linear Regression, Sklearn, Pandas, Numpy, Matplotlib

Retail Customer segmentation based on spending patterns

Customer analysis plays a crucial role in determining the profitability of Retail companies. Segmentation of the customers based on their purchase patterns helps Retail companies to cluster their user base and serve them effectively.


Our training is based on latest cutting-edge infrastructure technology which makes you ready for the industry.Osacad will Present this certificate to students or employee trainees upon successful completion of the course which will encourage and add to trainee’s resume to explore a lot of opportunities beyond position

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First-Ever Hybrid Learning System

Enjoy the flexibility of selecting online or offline classes with Osacad first-ever hybrid learning model.
Get the fruitful chance of choosing between the privilege of learning from home or the
advantage of one-on-one knowledge gaining - all in one place.

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Artificial Intelligence which is a global company with headquarters in Chicago, USA. Artificial Intelligence has partnered with GamaSec, a leading Cyber Security product company. Artificial Intelligence is focusing on building Cyber Security awareness and skills in India as it has a good demand in consulting and product support areas. The demand for which is predicted to grow exponentially in the next 3 years. The Artificial Intelligence training programs are conducted by individuals who have in depth domain experience. These training sessions will equip you with the fundamentalknowledge and skills required to be a professional cyber security consultant.

All graduates of commerce, law, science and engineering who want to build a career in cyber security can take this training.

There are a number of courses, which are either 3 months or 6 months long. To become a cyber security consultant we recommend at least 6 to 9 months of training followed by 6 months of actual project work.During project work you will be working under a mentor and experiencing real life customer scenarios.

You can get started by enrolling yourself. The enrollment can be initiated from this website by clicking on "ENROLL NOW". If you are having questions or difficulties regarding this, you can talk to our counselors and they can help you with the same.

Once you enroll with us you will receive access to our Learning Center. All online classrooms, recordings, assignments, etc. can be accessed here.

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What do you benefit from this programs
  • Get an in-depth knowledge from basic to advanced level on Tableau
  • Interactive Learning & Comprehensive hands-on sessions with Tableau
  • Building and organizing data visualization with Tableau

I’m Interested

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