About Digital Lync

Digital Lync

Tableau Training

  • Get Certified at the Best Tableau Training Institute.
  • Get trained by industry experts.
  • Tableau Classroom and Online training.
  • 20+ Real-time projects
  • Real time projects, Interviews and Job Support
50000+ Students Enrolled
4.7 Rating (500) Ratings
45 Days Duration

Job Roles After Tableau Training

  • Data analyst
  • Data engineer
  • Tableau Specialist
  • Tableau Developer
  • BI Developer

Tableau Course Curriculum

It stretches your mind, think better and create even better.

Introduction to Excel:

Customizing tabs, options in excel

Name managers

Data validation: Options in data validation for list, whole numbers, dates

Using name manager for data validation


Custom sorting


Sorting left to right

Advanced sorting with multiple options

Advanced filter options

Sorting and filtering with color options

Pivot tables

Short cuts to create pivot tables

Changing row and column labels

Custom format tables and default tables

Changing number formats

Value field settings and summarizing values by 11 different options

Value field settings and showing values as different options

Grouping of continuous fields

Pivot charts, compared regular charts

Slicers, Slicer settings, advanced slicer

Calculated fields in pivot tables

Vlookup and Hlookup:

Syntax for Vlookup

What-if there are errors

Vlookup with data validation

Approximation for Vlookup

Using column function for dynamic column numbers

Using Choose function to select a table for Vlookup

Using Match function to identify column number

Locking cells for absolute and relative cells


Auto sum functions

Logical functions

Text functions

Date and Time functions

Lookup and reference functions

Information functions


Column charts

Line charts

Pie charts, Pie in pie and Bar of pie, Donut

Stacker bar and clustered bar charts


Scatter charts

Radar charts

Tree maps





Conditional formatting:

Duplicate values

Alternate rows

Multiple criteria

Negative numbers

Gantt charts and Formula

Advanced topics:

What-if analysis

Text to columns

Flash fill

Remove duplicates, Consolidate

Grouping, ungrouping and sub-totals

Freezing and unfreezing panes

Understanding the start pane

Connecting to data source

Data sources that can be connected

Various file formats


Understanding the start pane

Connecting to data source

Data sources that can be connected

Various file formats



Connecting to excel, Joins, Splitting data

Live and extract

Dimensions and measures

Clearing sorts and filters

Views: Standard fit width and height

Drilling down

Expanding the marks in pane

Swapping axis

Renaming sheets

Editing color pane

Adding highlighters

Understanding show me

Sorting and hierarchy

Data pane and analytics pane

Different view options at bottom of sheet

Hiding and unhiding fields

Creating folders to move dimensions and measures

Adding default colors and properties

Adding multiple data sources

Extracting workbook

Replacing data sources

Data cleansing

Database joins


Default charts

Highlighter for color and shape

Sorting from axis, color, category, manually and clearing sort

Creating groups from pane, manually, visually, parameters, and bins

Adding filter, show filter, wildcards, Top N parameters

Discrete and continuous dates

Types of filters: Applying to specific sheets, Editing page shelf

Hiding cards



Tool tips

Cluster analysis


Building dashboards

Hiding and unhiding sheets

Interface between sheets, dashboard and storyboard

Elements in dashboard


Actions in dashboard

Device designer

Story points

Word cloud

Bump charts

Box and whisker


Step and Line






Heat map


Show me charts

Basic syntax

Regular calc and table calc

Adding totals

Date calc

Logic calc

String calc

Number calc




Converting geo to non-geo

Chart default

Options for maps

Unrecognized locations







And Or Not

Order By

Insert into

Null values




Min and Max

Count, Avg, sum













Group By



Create table

Drop table

Alter table

Not null


Primary key




Tableau Real Time Projects

Project : 1

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. In this project we will use Logistic regression to predict who is the potential employee who is in a verge of leaving the company. Industry: Human Resources

Skills Required for the project
Logistic Regression, Sklearn Numpy Pandas Matplotlib
Author: Ravi Krishna Director: Manikanta Kona Duration: 3 Hours
Project : 2

Predicting Housing prices using Regression

Predict the sales price for each house based on input features provided for the house.

Skills Required for the project
Linear Regression Multi Linear Regression Sklearn Pandas Numpy Matplotlib
Author: Anil Kumar Director: Ramesh Babu Duration: 3 Hours
Project : 3

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.

Skills Required for the project
K-Means K-Means Sklearn Pandas Numpy Seaborn
Author: Vijay Kumar Director: Abhishek Duration: 5 Hours
Project : 4

Stock market price prediction

This project deals with the predictions of stock market prices using history of Data. It also considers the physical factors vs. psychological, rational and irrational behavior etc. Machine learning techniques implemented in Python acts as game changer for the predictions. Algorithms including Linear regression, LSTM and ARIMA model are used for the same.

Skills Required for the project
Tensorflow Keras LSTM RNN
Author: Likith Sirigiri Director: Ravi Krishna Duration: 4 Hours
Project :5

Exploratory Data analysis of Crime records in Boston

This project analyses data using quantitative prediction of crimes in Boston and drawing visualizations of Trends in the data over the years. Exploratory Data Analysis is carried on the crimes data using lots of techniques from Linear model to Stochastic gradient boosting.

Skills Required for the project
Linear Regression XGBoost Numpy Sklearn Pandas Matplotlib
Author: Ramesh J Director: Radha Krishna Duration: 10 Hours
Project :6

Market Basket Analysis using Apriori Algorithm

Market Basket Analysis is a technique which identifies the strength of association between pairs of products purchased together and identify patterns of co-occurrence. A co-occurrence is when two or more things take place together. The technique determines relationships of what products were purchased with which other product(s).

Skills Required for the project
Apriori Algorithm Numpy Pandas
Author: Ramesh J Director: Radha Krishna Duration: 10 Hours

Case Studies

Verizon implementation
Lenovo India

Lenovo India’s BI Analytics & Visualization team created an interactive and flexible Tableau sales dashboard for departments to use it for ad-hoc analysis and reporting.

Sales force implementation

Tableau has made Lufthansa free from the bounds of IT department and made it independent in its functioning.

Our training is based on latest cutting-edge infrastructure technology which makes you ready for the industry. Digital-Lync 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

Tableau Upcoming Batch Schedule

Week Day Batches
  • Week Day Batches 25th Sept 2023 Monday
  • Week Day Batches8 AM (IST) 1hr-1:30hr / Per Session
Get Course Fees
Week Day Batches
  • Week Day Batches 27th Sept 2023 Wednesday
  • Week Day Batches10 AM (IST) 1hr-1:30hr / Per Session
Get Course Fees
Week Day Batches
  • Week Day Batches 29th Sept 2023 Friday
  • Week Day Batches12 PM (IST) 1hr-1:30hr / Per Session
Get Course Fees
Week End Batches
  • Week Day Batches 30th and 1st Sept 2023 Sat-Sun
  • Week Day Batches8 AM (IST) 1hr-1:30hr / Per Session
Get Course Fees
AWS Upcoming Batch Schedule
Can’t find a batch you were looking for?
Request A Batch


Our Tableau training has precisely been developed to reach out to the demand of the learners by keeping in mind the industry standards.
This Tableau course will particularly be helpful for the career advancement of the following audience -

Graduates from the College.

Currently working employees looking to upskill themselves.

Candidates looking for a change in the IT Field.

As such, there are no specific prerequisites for Tableau institutes in Hyderabad. If you are familiar with programming and foundation skills with a sense of curiosity and willingness to learn you are all set for the Tableau training. .

Tableau Training Classes are conducted over the Weekdays and Weekends through classroom and online sessions. Please get in touch with the Digital Lync team to get the exact schedule and timings.

Our Tableau faculty has over 12 years of experience.

Tableau Course duration is 50 hours.

Weekday Tableau Training classes will be one hour long and Weekend classes will be three hours long.

Please find the detailed Tableau course curriculum in the Digital Lync Tableau training curriculum section.

Yes, we will assist our students with all the interview preparation techniques

Inspiring Student Stories.

Here are stories of real knowldege, real people,
under real innovation.

Have a Question?

we help you go farther than you ever dreamed, 24/7.
Have a Question



Come and chat with us about your goals over a cup of coffee
Madhapur - Hyderabad

2nd Floor, Hitech City Rd, Above Domino's, opp. Cyber Towers, Jai hind Enclave, Hyderabad, Telangana, 06304982304

Call Us
Kick start your career

Up-skilling to emerging technologies has become the need of the hour, with technological changes shaping the career landscape. We at Digital Lync offers programs in all courses with industry experts to help you up-skill, stay relevant & get noticed.

Book A Free Online Demo