About Digital Lync

Digital Lync

India's #1 Training Institute

Tableau Training

Tableau Training focuses on data visualisation and analytics, enabling users
to create interactive, insightful reports and dashboards.

2 Months 5 Live Projects 4.7/5
Job Roles After Tableau Training
  • Data analyst
  • Data engineer
  • Tableau Specialist
  • Tableau Developer
  • BI Developer
Explore the Digital Lync way
1

Learn

Tableau Course Curriculum

Experience the New way of Learning with AI
Digital Lync offers best technologies in the work, Curated for your Career Growth

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

Sorting:

Custom sorting

Subtotals

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

Formulae

Auto sum functions

Logical functions

Text functions

Date and Time functions

Lookup and reference functions

Information functions

Charts:

Column charts

Line charts

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

Stacker bar and clustered bar charts

Area

Scatter charts

Radar charts

Tree maps

Histogram

Waterfall

Funnel

Combo

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

Bookmarks

Understanding the start pane

Connecting to data source

Data sources that can be connected

Various file formats

Bookmarks

TDS, TDE

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

Blending

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

Sets

Parameters

Tool tips

Cluster analysis

Formatting

Building dashboards

Hiding and unhiding sheets

Interface between sheets, dashboard and storyboard

Elements in dashboard

Formatting

Actions in dashboard

Device designer

Story points

Word cloud

Bump charts

Box and whisker

Funnel

Step and Line

Pareto

Waterfall

Donut

Lollipop

Pie

Heat map

Waffle

Show me charts

Basic syntax

Regular calc and table calc

Adding totals

Date calc

Logic calc

String calc

Number calc

LODs

Mapbox

WMS>Layers

Converting geo to non-geo

Chart default

Options for maps

Unrecognized locations

Groups

Intro

Syntax

Select

Distinct

Where

And Or Not

Order By

Insert into

Null values

Update

Delete

Top

Min and Max

Count, Avg, sum

Like

Wildcards

In

Between

Alias

Joins

Inner

Left

Right

Full

Self

Union

Group By

Having

Exists

Create table

Drop table

Alter table

Not null

Unique

Primary key

Default

Views

Operators

tools & platforms
  • tools
  • tools
  • tools
  • tools
  • tools
  • tools
  • tools
  • tools tools tools tools
2

Build

Work on our Real-time Projects , Task Based

5 Capstone Projects

Experience the New way of Learning with AI Digital Lync offers best technologies
in the work, Curated for your Career Growth

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
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
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
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
Author: Likith Sirigiri Director: Ravi Krishna Duration: 8 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
Author:Ramesh J Director: Radha Krishna Duration: 10 Hours
3

Get Job

Our focus on job-readiness Github Profile, Linkedin Profile, Resume Prep and Help Apply

  • GitHub Profile

    Guidance on creating and maintaining a professional GitHub profile to showcase technical projects and coding prowess.

  • LinkedIn Profile

    Assistance in crafting a compelling LinkedIn profile for networking and visibility among recruiters.

  • Resume Preparation

    Expert advice on resume writing to effectively highlight skills, experience, and achievements.

  • Help in Applying

    Support in identifying suitable job opportunities and navigating the application process.

IT Engineers who got Trained from Digital Lync

Satish Korlapati

Senior Associate Consultant
DevOps engineers

Raveena Reddy

SRE/DevOps Engineer
DevOps engineers

Akhil Nagothu

Cloud Devops Engineer-2
DevOps engineers

Vijay Kumar Putturu

Cloud Devops Engineer
DevOps engineers

Upcoming Batch Schedule

Week Day Batches
(Mon-Fri)

25th Sept 2023
Monday

8 AM (IST)
1hr-1:30hr / Per Session

Week Day Batches
(Mon-Fri)

27th Sept 2023
Wednesday

10 AM (IST)
1hr-1:30hr / Per Session

Week Day Batches
(Mon-Fri)

29th Sept 2023
Friday

12 PM (IST)
1hr-1:30hr / Per Session

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enriched by real-time projects and job support.

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