Digital Lync

Data Analysis Training

Get Certified at the Best Data Science Training Institute.
Get trained by industry experts.
Data Analysis Classroom and Online training.
20+ Real-time projects

10000+ Students Enrolled

4.7 (500) Ratings

45 Days Duration

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Roles for Data Analysis Course

Data Analysis Engineer
Data Analysis Architect
Technology Consultant ReactJs
Systems Engineer
System Administrator

Why Data Analysis Course?

Data is the foundation of the Digital age. The ability to analyze data properly, communicate data analysis results, and make an impact with data is a critical skill today.
IBM, claims that the annual demand for data Analysts will lead to 700,000 new recruitments by 2020.
Data Analysis career choice will fetch you an average salary of 95,000 USD - 110,000 USD.

Why Data Analysis Training at Digital Lync?

Digital Lync offers one of the best Data Analysis training in Hyderabad with a comprehensive course curriculum.
Elevate your practical knowledge with quizzes, assignments, Competitions and Hackathons to give a boost to your confidence with our hands-on Data Analysis Training.
Data Analysis training in Hyderabad at Digital lync Makes you industry ready with coaching sessions, interview prep advice, and resume with 1-1 Mentoring.

Data Analysis Upcoming Batch Schedule

Week Day Batches

(Mon-Fri)

28th Sept 2020 Monday
8 AM (IST) 1hr-1:30hr / Per Session

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Week Day Batches

(Mon-Fri)

30th Sept 2020 Wednesday
10 AM (IST) 1hr-1:30hr / Per Session

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Week Day Batches

(Mon-Fri)

2nd Oct 2020 Friday
12 PM (IST) 1hr-1:30hr / Per Session

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Week End Batches

(Sat-Sun)

3rd - 4th Oct 2020 Sat-Sun
8 AM (IST) 1hr-1:30hr / Per Session

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Can’t find a batch you were looking for?

Request A Batch

Course Curriculum

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

1 Excel

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

2 Tableau

Start

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

Managing data and extracts

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

Sorting and Filtering

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 and parameters

Sets

Parameters

Tool tips

Cluster analysis

Formatting

Dashboards and storyboards

Building dashboards

Hiding and unhiding sheets

Interface between sheets, dashboard and storyboard

Elements in dashboard

Formatting

Actions in dashboard

Device designer

Story points

Charts

Word cloud

Bump charts

Box and whisker

Funnel

Step and Line

Pareto

Waterfall

Donut

Lollipop

Pie

Heat map

Waffle

Show me charts

Calculations

Basic syntax

Regular calc and table calc

Adding totals

Date calc

Logic calc

String calc

Number calc

LODs

Maps

Mapbox

WMS>Layers

Converting geo to non-geo

Chart default

Options for maps

Unrecognized locations

Groups

3 Qilkview

Basics

Selections

Importing data

Scripting basics

Configuring sheets

Creating and configuring sheets

List boxes

Input boxes

Pivots and Sets

Pivot tables

Set analysis

Lookup and apply map functions

Expressions

List boxes

Joins

Sliders

Resident load

Text objects

Statistics box

Creating PDFs

Scripting basics

Cyclic dimensions

Multiple topics

Table box

Multi box

Button objects

Combo charts

Expressions

Bar charts

Line charts

Pie charts

Scatter charts

Load inline

Concatenation

Straight table

Waterfall

Block charts

Trellis bar

Grid charts

Mekko

Funnel

Mini

Interchanging bar and Line

Radar

Step/line

Magic quadrant

Heat map

References in chart

Custom labels

Bookmarks

Before and after functions

Triggers

Pareto

Container objects

Search objects

4 M S Access

Creating blank database

Creating table at backend table design view

Adding data

Creating select query

Queries

Query criteria

Action queries

Create queries

Delete query

Table query

Parameter queries

Relationships

Defining relationships between tables

One-One

One-many

Many-many

Wildcards

Calculated expressions

Indexing

Grouping

Summarizing data

Joins

Inner

Outer

Left

Right

Self

Query wizard

Forms

Multiple forms

Split forms

Modify forms

Themes

Navigation forms

Combo box

SQL view

Formatting

Controls and properties

Reports basics

Formatting reports

Functions

5 SQL

intro

Syntax

Select

Distinct

Where

And Or Not

Order By

Insert into

Null values

Update

Delete

Top

Min and Max

Count, Avg, sum

Wildcards

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

6 POWER BI

Intro

Connecting to database, basic transformation

Managing queries, splitting columns

Modifying data types

Dates

Re-ordering columns, conditional columns

Connecting to folders

Merge queries

Query dependency

Transform data

Enter data

Query parameter

Data modeling

Data relationships

Calculated columns

Quick measures

Optimize models

Calculated measures

Hierarchies

Calculated tables

Time intelligence

Insert new data tables

Include/Exclude

Grouping and Binning

Visualizations

Create and format visualizations

Hierarchical axis and concatenating

Filters

Combo charts

Forecasting

Clustering data

Slicers

Data behind visualization

Date slicers

Maps, ESRI maps

Tables and matrixes

Table style

Scatter charts

Waterfall and funnel charts

Gauge, cards and KPIs

Coloring charts

Shapes, grid lines, page settings

Duplicates, categories with no data

Aligning, hierarchies

Charts

Combo charts

Custom visual store

Date slicer

Waterfall and funnel charts

Grouping and binning

Map visualizations

Report measures

Tables and matrices

Turn off visual headers

Persistent filters

Sync slicers

Buttons

Custom date tables

Default summarization

Measure filtering

Excel data and collaboration

Upload an excel table

Excel data with BI content

Pinning excel tables

Analyze in excel

Workspaces

Power BI service

Overview of dashboards

Publish from Power BI

Get insights

Pinning on dashboards, dashboard tiles, display options

Adding widgets

Navigating content

Filter the list in navigating pane

Dashboard settings

Sharing, print and export dashboards

Focus mode

Export to csv or excel or ppt

Notifications, alerts

Subscriptions

Publishing

Download curriculum

Live Projects

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...

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...

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...

Stock market price prediction

This project deals with the predictions of stock market prices using history of Data. It also considers the physical factors...

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...

Market Basket Analysis using Apriori Algorithm

Market Basket Analysis is a technique which identifies the strength of association between pairs of products purchased together...

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.

Lufthansa

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

FAQ’s

Who should take this course?

Our Data Analysis training has precisely been developed to reach out to the demand of the learners by keeping in mind the industry standards.
This Data Analysis 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.

What are the prerequisites for the Course?

As such, there are no specific prerequisites for Data Analysis 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 Data Analysis training.

When are the classes conducted?

Data Analysis 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.

Who are the Faculty?

Our Data Analysis faculty has over 12 years of experience.

What is the duration of the Course?

Data Analysis Course duration is 50 hours.

What is the duration of the class?

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

What is the course curriculum?

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

Do you help in Interview preparation?

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

Data Science

Life at Digital Lync

The environment at Digital Lync is colorful and creative. It is where ideas are incubated and generated. An apt place to explore yourself.

Happy Partners

You'll be in good company

Inspiring Student Stories.

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

Data Analysis training is excellent here. I specifically suggest for working professionals who are looking for advanced knowledge in Data Analysis course.

Prakash Vangara

4.1

I have done my Data Analysis course here, the work environment is very good. Especially during training great tasks were taught. Everything explained cleared. Finally, I like to comment that "Digital Lync" is the right choice for those who wants to learn the Data Analysis course.
Here training seekers will be given the opportunity what exactly wanna be done.

Ram Kumar

4.2

Best Data Analysis Training in Hyderabad with hand on Labs and great exposure to all the other Technologies. The best platform to learn the Data Analysis course.

Roshan Md

4.3

I took Data Analysis training in Hyderabad. Digital Lync is the best institute if you want to make yourself better. The best part is, the classes won't be like someone standing there and giving lectures, there is a lot of interaction between the trainers and the students.

Manoj Raj

4.4

After Taking Data Analysis Training in Hyderabad, I got placed in as a Data Analysis Engineer. Digital Lync has helped me a lot to unleash my potential.

Robert Miller

4.5

It has been a very good school of learning, the trainer explains every individual concept (Theory/Practical) in-depth when I joined for Data Analysis training at the Gachibowli branch Hyderabad. It has an extraordinary infrastructure with un-interrupted broadband. Your doubts can be clarified with live projects. Altogether it was an awesome experience learning in Digital Lync.

Shaikh Danish

4.6

The best place to learn the Data Analysis course in Hyderabad, the trainer is well knowledged and trains in depth. Practice sessions helped me a lot and the infrastructure is superb compared to other places. I have cracked my certification exam in the Data Analysis training course with the help of the training here.

Vaibhav Vitta

4.7

I have finished my Data Analysis training in Hyderabad from Digital Lync. I got the job right after the training. I'm very happy. You should definitely check out Digital Lync to elevate your career prospects.

Prasad Nadiger

4.8