Digital Marketing Training in Virudhunagar

Getin Technologies Digital Marketing Training in Virudhunagar, aimed at equipping professionals with the requisite knowledge to excel in the digital era. The detailed course includes concepts related to search engine optimization, social media, content, analytics among other important areas. Since the program aims more on practice, participants will work on projects closely related to actual marketing practice.

The training is conducted by professionals and thus there is focus on practical training rather than theoretical training with all the current methods and practices of digital marketing. The students will be taught effective marketing campaigns and how to ensure that the campaigns are able to attract the target audience. The practical classes are designed in a way so as to promote interaction among the students and also help them bond in the process. Sign up with Getin Technologies Digital Marketing Training in Virudhunagar and begin your journey towards a promising career in digital marketing that is focused on the utilization of digital media to meet the business objectives and growth!

Skills You'll Learn

Languages/Tools Covered

WordPress

Web Analytics

CRM

SQL

PowerBI

Machine Learning

Python

Tableau

Our Key Features of Digital Marketing Training in Virudhunagar

100% Placement

Getin Technologies Offering 100% Placement Guarantee for who all are looking jobs relevant of Digital Marketing. Already our dedicated Placement Team completed 530+ Placements.

EMI Payment Option

Getin Technologies EMI option allows you to spread the cost of your course fees into manageable monthly payments. This means you can invest in your future without the burden of paying the full amount upfront.

Realtime Project

We offering Digital Marketing course includes a real-time project allowing you to apply your knowledge in a practical setting. This project is designed to give you the skills and confidence in the digital marketing.

Corporate Trainers

Getin Technologies pride ourselves on delivering top-notch training experience led by seasoned corporate trainers, are designed to provide your team with the skills and insights based on today’s data-driven environment.

Premium Tool Access

Getin Technologies understand that hands-on experience with industry-standard tools is crucial for mastering digital analytics. That’s why we are offer our participants exclusive access to premium tools as part of our course.

Interview Support

We understand that securing your dream job requires more than just technical skills. So we offer comprehensive resume preparation and mock interview sessions tailored specifically for professionals in Digital Marketing field.

Unlock exclusive savings on our courses with personalized coupon codes – contact us now to elevate your learning experience at a discounted Price! (Only Online Class)

Contact No: +91 89258 31828

Digital Marketing Training Module 1

Digital Marketing Training Module 2

Digital Marketing Training Module 3

Digital Marketing Course Syllabus

Module 1 & 2 - WordPress , Digital Marketing (40 Days)

Introduction of Digital Marketing

What is Digital Marketing?
Benefits of Digital Marketing
Traditional Digital Marketing
List of Search Engines
Types of Digital Marketing

Website Designing with WordPress

What is Domain Name
Types of Domains
Register a Domain Name
Domain & Hosting
Secure Socket Layer (SSL)
Domain Name Server (DNS)
WordPress Installation
Theme Settings and Customization
Categories, Tags and Posts
Pages and Sub Pages
Adding a menu to the website
Plugins and Widgets
Using Plugins in Site
Adding widgets to the website
Yoast SEO Plugin

About Search Engine

How does the search engine work?
Google Algorithms
Major & Minor Algorithm Updates
Panda, Penguin, Rank Brain, Medic, BRET, Core Update 2020
What is crawling?
Processing & Indexing
Uses of sitemap

Keyword Research & Competitor Analysis

Introduction to Keyword Research
Types of Keywords
Keyword Research Methodology
Google Keyword Planner Tool
Competition Analysis
Paid Competition Analysis tools
Finalizing the Keywords List
SEMrush

On-page SEO

Introduction to on page
Importance of HTTPS
URL Optimization
Title Tag Optimization
Meta Tags Optimization
Content Optimization
Heading optimization
Internal Links
Image Optimization
Social Signals & Footer

Off page SEO

Introduction to Off page (Link Building)
Link Building Guidelines
Types of Backlinks Link Analysis Tools
Directory Submissions
Local Business Submission
Classified Posting
Q & A Backlinks
Blogging & Blog Comments
Guest Blogging
Document Sharing
Other Advanced Strategies

Technical On-page SEO

Website Speed Optimization
Speed Analysis Tools
Sitemaps Generation
txt File
URL Redirecting Techniques
Canonical Links
Rich Snippets
Google Page speed insights
Mobile Friendliness Checking

Local SEO

What is Local SEO?
Importance of Local SEO
Submission to Google My Business
Optimizing the GMB Profile
Local SEO Ranking Signals
Local SEO Negative Signals
Citations and Local Submissions
Google My Business Analytics
Fix Duplicate, Terminated, Non-verified business

Google Ads

Introduction to Paid Advertising
Google Ads Account setup
Account Structure
PPC Campaign Settings
Ad Group setup
Keyword Match Types
Keyword Research Tools (Google Keyword Planner)
Ad Formats & Guidelines
Ad Extensions
Understanding Ad Auction
What is Quality Score
Factors to improve Quality Score
Actual CPC Calculation
Types of CPC’s
Bidding strategies
What is Conversion?
Implementing conversion tracking
Calculating ROI
What is DSA ?
Create a DSA Campaign?
Segments and Filters
Search Terms and Ad Auctions
Customization Tools
Generating Reports

Google Ads Express

What is Ads Express (Smart Campaign)
Benefits of Smart Campaign
Creating Campaign for Local Results
Bidding & Budgets Setup
Ad Creation
Reports

Facebook Marketing

Types of Facebook Account
Personal Account Setup
Facebook business page setup
Types of Business pages
Cover Photo/Video Design
Page Settings & Options
Types of Posts and Statistics
Designing FB Posts using canva
User engagement metrics
Facebook Insights
Facebook Groups

Facebook Advertising

What is Facebook Ads
Types of Objectives
Popular Ads Campaigns
Defining Target Audience
Types of Targeting
Bidding & Budget Settings
Types of Ads
Designing FB Ads
Setup of Facebook Pixel
Conversion Tracking Pixel
Remarketing Strategy
Reports & Analytics

YouTube Marketing

Creating Channel in YouTube
Customizing the YouTube Channel
Types of Video Formats
Create video marketing strategy
Upload the First Video
Video Optimizing Tips
Video Settings
Cards, End Screens & Sub Titles
How to use Playlists
YouTube Creator Studio
Features of Creator Studio
YouTube Analytics
Increasing Subscribers
Understanding copyrights and spam

Instagram Marketing

Creating Instagram Account
Types of Instagram Accounts
Linking Instagram with Facebook
Types of Content (Posts & Stories)
Post Designing Tools (canva)
Stories & Highlights
Importance of Hashtags
How to use Hashtags
Instagram Analytics
Instagram Ads
Types of Campaign
Creating your Campaign
Measuring Results

Email Marketing

What is Email Marketing?
Importance of Email Marketing
Introduction to Mail Chimp
MailChimp pricingstructure
Account setup and settings
Email marketing strategy
Creating a Subscriber List
Integration of Forms in Site
Import subscribers in list
Types of Email marketing campaigns
Email Marketing Campaign
Analyzing Reports of Campaign

AdSense

What is Google AdSense
How does it work?
Top AdSense Earners [Global / India]
AdSense Guidelines
Finding the Niche
Important Factors for AdSense Success
Types of AdSense Account
Applying for New Account
Create you first Ad
Ad Formats and Sizes
Integrating Ads in Site
Blocking Sites & Categories
Reports Analysis

Affiliate Marketing

What is Affiliate Marketing?
How Affiliate marketing works
Types of Affiliate Networks
Top Affiliate Marketing networks
Amazon Affiliate Network
Integrating Amazon Products
How to promote Affiliate Products

Module 3: Web Analytics (6 Days)

Google Search Console

What is Search Console
Features of Search Console
Site Verification Process
Location Targeting
Search Performance Tool
Link Analysis Tool
Manual Actions
Sitemaps Tool
Fetch as Google Tool
Crawl Errors Analysis
The Latest updates in Search Console

Google Analytics

Introduction to Analytics
Implementing Analytics Code
Setup of Conversion Tracking Code
Types of Reports
Audience Reports
Acquisition Reports
Behavior Reports
Conversions Reports
Google Tag Manage

Microsoft Clarity Tool

Module 4 - CRM (10 Days)

CRM functionalities
Products of CRM
Login to CRM page
Sales Architecture
Accounts
Contacts
Lead
Cases
Income
Expense Manager
Tax Calculator

Module 5 - PowerBI (20 Days)

Introduction to Power BI:

Get Started with Power BI
Overview: Power BI concepts
Sign up for Power BI
Overview: Power BI data sources
Connect to a SaaS solution
Upload a local CSV file
Connect to Excel data that can be refreshed
Connect to a sample
Create a Report with Visualizations
Explore the Power BI portal

Power BI Desktop:

Overview of Power BI Desktop
Data Sources in Power BI Desktop
Connecting to a data Sources
Query Editor in Power BI
Query Ribbon
Clean and Transform your data with Query Editor
Combining Data – Merging and Appending
Cleaning irregularly formatted data
Views in Power BI Desktop
Modelling Data
Manage Data Relationship
Automatic Relationship Updates
Template Apps
Cross Filter Direction
Create calculated tables and measures
Optimizing Data Models
PBIDS Files

Viz and Tiles:

Overview: Visualizations
Using visualizations
Create a new report
Create and arrange visualizations
Format a visualization
Create chart visualizations
Use text, map, and gauge visualizations and save a report
Use a slicer to filter visualizations
Sort, copy, and paste visualizations
Download and use a custom visual from the gallery

Reports and Dashboards:

Modify and Print a Report
Rename and delete report pages
Add a filter to a page or report
Set visualization interactions
Print a report page
Send a report to PowerPoint
Create a Dashboard
Create and manage dashboards
Pin a report tile to a dashboard
Pin a live report page to a dashboard
Pin a tile from another dashboard
Pin an Excel element to a dashboard
Manage pinned elements in Excel
Add a tile to a dashboard
Build a dashboard with Quick Insights
Set a Featured (default) dashboard
Ask Questions about Your Data
Ask a question with Power BI Q&A
Tweak your dataset for Q&A
Enable Cortana for Power BI

Publishing Workbooks and Workspace:

Share Data with Colleagues and Others
Publish a report to the web
Manage published reports
Share a dashboard
Create an app workspace and add users
Use an app workspace
Publish an app
Create a QR code to share a tile
Embed a report in SharePoint Online

Other Power BI Components and Table Relationship:

Use Power BI Mobile Apps
Get Power BI for mobile
View reports and dashboards in the iPad app
Use workspaces in the mobile app
Sharing from Power BI Mobile
Use Power BI Desktop
Install and launch Power BI Desktop
Get data
Reduce data
Transform data
Relate tables
Get Power BI Desktop data with the Power BI service
Export a report from Power BI service to Desktop

DAX functions:

New Dax functions
Date and time functions
Time intelligence functions
Filter functions
Information functions
Logical functions
Math-trig functions
Parent and child functions
Text functions

Power Query: Text Functions

Text Functions
Merge Columns
Split and Trim
Upper, Lower and ProperCase
Prefix and Suffix
Left, Right and Mid Functions
Extract Text with Delimiters

Power Query: Date Functions

Date Functions
Year, Quarter, Month and Day Functions
Find Difference between Dates
Month and Day Name
Day, Week of Month, Year
Extract Date, Time in Power Query
Calculate Age in Power Query
Day of Year, Quarter, Month in Power Query

Power Query: Number Functions

Number Functions
Basic Number Functions in Power Query
Percentage, Percent Of, Module
Round Functions
IsEven, IsODD, Sign in Power Query

Power Query: Append Files

Append Multiple CSV Files in a Folder
Append Multiple Excel Sheets, Tables
Append Excel Sheets or Tables with Different Columns
Append Multiple Excel Files from a Folder
Append Different Data Sources

Power Query: Merge Files

Merge Files and Tables
Merge Sheets or Tables
Merge Data from Multiple Excel Files or Workbooks
Merge Data from Different Data Sources
Merge Data having Multiple Criteria in Power BI

Power Query: Conditional Columns

Conditional Column and Column from Example in Power BI
Column from Examples – Split Text
Column from Examples – Merge Columns
Column from Examples – Date
Column from Examples – Alphanumeric
Conditional Column – One Column
Conditional Column – Two columns
Conditional Column – Compare two columns
Conditional Column – on Dates

Power Query: Important Topics

Fill Down in Power BI
Grouping
Transpose
Unpivot
Data Types
Replace Errors and Values
Keep and Remove Rows
Add, Remove and Goto Columns

Module 6 - Python (15 Days)

Introduction to Python

What are Python and the history of Python?
Unique features of Python
Python-2 and Python-3 differences
Install Python and Environment Setup
First Python Program
Python Identifiers, Keywords, and Indentation
Comments and document interlude in Python
Command-line arguments
Getting User Input
Python Data Types
What are the variables?
Python Core objects and Functions
Math Module

Control Statements

If
If-elif-else
while loop
for loop
Break
Continue
Assert
Pass
return

List, Ranges & Tuples in Python

Introduction
Lists in Python
Generators and Yield
Generators Comprehensions and Lambda Expressions
Next() and Range()
Understanding and using Range

Python Dictionaries and Sets

Introduction to the section
Python Dictionaries
More on Dictionaries
Sets
Python Sets Examples

Input and Output in Python

Reading and writing text files
Writing Text Files
Appending to Files and Challenge
Writing Binary Files Manually

Python built-in function

Python Modules & Packages
Python User defined functions
Defining and calling Function
The anonymous Function

Introduction to Data Analytics with Python

Overview of Data Analytics and its applications
Python basics for data analytics
Introduction to Jupyter Notebook for code and data visualization
Setting up the Python environment and installing key libraries

Data Handling with Pandas

Introduction to Pandas: Series, DataFrames, and Data Structures
Importing, exporting, and handling data with Pandas
Data cleaning: handling missing data, duplicates, and data transformations
Data aggregation, grouping, and summarization
Merging and joining datasets

Numerical Computation with NumPy

Introduction to NumPy and its importance in data analytics
Working with arrays, array indexing, and slicing
Mathematical operations with NumPy
Array manipulations and reshaping
Random number generation for data simulation

Data Visualization with Matplotlib

Introduction to Matplotlib for basic plotting
Customizing charts (labels, colors, styles)
Plot types: line, bar, scatter, histogram, etc.

Module 7 - SQL (10 Days)

Introduction

The Relational Model

Understanding Basic SQL Syntax

Basic SQL Commands – SELECT
Basic SQL Commands – INSERT
Basic SQL Commands – UPDATE
Basic SQL Commands – DELETE
Querying Data with the SELECT Statement
The SELECT List
SELECT List Wildcard (*)
The FROM Clause
How to Constrain the Result Set
DISTINCT and NOT DISTINCT

Filtering results with Where Clause

WHERE Clause
Boolean Operators
The AND Keyword
The OR Keyword
Other Boolean Operators BETWEEN, LIKE, IN, IS, IS NOT

Shaping Results with ORDER BY and GROUP BY

ORDER BY
Set Functions
Set Function And Qualifiers
GROUP BY
HAVING clause

Matching Different Data Tables With JOINS

CROSS JOIN
INNER JOIN
OUTER JOINs
LEFT OUTER JOIN
RIGHT OUTER JOIN
FULL OUTER JOIN
SELF JOIN

Creating Database Table Stamp

CREATE DATABASE
CREATE TABLE
NULL Values
PRIMARY KEY
CONSTRAINT
ALTER TABLE
DROP TABLE

Module 8 - Machine Learning (30 Days)

Introduction to Machine Learning:

Introduction to Big Data and Machine Learning

Machine Learning Techniques:

Types of Learning
Supervised Learning
Unsupervised Learning
Advice for Applying Machine Learning
Machine Learning System Design

Supervised Learning:

Regression
Classification

Supervised Learning – Regression:

Linear Regression & Logistic: A Model-Based Approach
Regression fundamentals : Data and Models
Feature selection in Modelbuilding
Evaluating over fitting via training/test split
Training/ Test curves
Adding other features
Regression ML block diagram

Supervised Learning – Classification:

Classification fundamentals : Data and Models
Understanding Decision Trees and Naive Bayes
Feature selection in Modelbuilding
Linear classifiers
Decision boundaries
Training and evaluating a classifier
False positives, false negatives, and confusion matrices
Classification ML block diagram

Unsupervised Learning:

Clustering
Recommendation
Deep Learning

Unsupervised Learning – Clustering:

Clustering System Overview
Clustering fundamentals : Data and Models
Feature selection in Modelbuilding
Prioritizing important words with tf-idf
Clustering and similarity ML block diagram

Unsupervised Learning – Deep Learning:

Deep Learning: Searching for Images
Learning very non-linear features with neural networks
Application of deep learning to computer vision
Deep learning performance
Demo of deep learning model on ImageNet data
Deep learning ML block diagram

Module 9 - Tableau (15 Days)

INTRODUCTION:

Start Page
Show Me
Connecting to Excel Files
Connecting to Text Files
Connect to Microsoft SQLServer
Connecting to Microsoft Analysis Services
Creating and Removing Hierarchies
Bins
Joining Tables
Data Blending

Creating Your First visualization:

Getting started with Tableau Software
Using Data file formats
Connecting your Data to Tableau
Creating basic charts (line, bar charts, Treemaps)
Using the Showme

Tableau Calculations:

Overview of SUM, AVR, and Aggregate features
Creating customcalculations and fields
Applying newdata calculations to your visualization

Formatting Visualizations:

Formatting Toolsand Menus
Formatting specific parts of the view
Editingand Formatting Axes

Manipulating Data in Tableau:

Cleaning-up the data with the Data Interpreter
Structuring your data
Sortingand filtering Tableau data
Pivoting Tableau data

Advanced Visualization Tools:

Using Filters
Using the Detail panel
Using the Size panels
Customizing filters
Using and Customizing tooltips
Formatting your data with colors

Creating Dashboards & Stories:

Using Storytelling
Creating your first dashboardand Story
Design for different displays
Adding interactivity to your Dashboard

Distributing & Publishing Your Visualization:

Tableau file types
Publishing to Tableau Online
Sharing your visualization
Printing and exporting

If you want to Customize the Course Syllabus for Digital Marketing, Call us to +918925831828

If you want to Group Discount for Digital Marketing course, Call us to +918925831828

Who Can get Placements through Digital Marketing Course ?

Career Gap (2010 - 2024)

Eligible: BE, ME, BTech, MTech BSC, BCom, BA, BCA, MBA, MSC, MCA, BBA, MCom, Diploma

Freshers (2023 - 2025)

Eligible: BE, ME, BTech, MTech BSC, BCom, BA, BCA, MBA, MSC, MCA, BBA, MCom, Diploma

Experienced

Share your resume to Our WhatsApp +91 8925831826. Our Placement Team will Validate your Profile and get back to you shortly.

School Student Offer

offer 30% Offer for School Students from Total Course Fees.

1. Bring Valid School ID Card while Admission.

2. 6th – 12th Std can enroll this course.

3. Terms and conditions apply.

College Student Offer

20% Offer for College Students from Total Course Fees.

1. Bring Valid College ID Card while Admission.

2. All Stream (Arts & Engineering) students can use this offer.

3. Terms and conditions apply.

Disabled Student Offer

50% Offer for Disabled Students from Total Course Fees.

1.Bring Govt Approved Disabled Person ID Card while come to admission.

2. Terms and Conditions Apply.

Our Realtime Projects Sectors for Digital Marketing Training in Virudhunagar

Ecommerce

Health Care & Wellness

Travel and Tourism

Real Estate

Education

Foods and Beverages

Fashion and Beauty

Sports and Fitness

Our Students Placed Companies

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Tirunelveli Branch (+91 8925831826): Digital Marketing Training in Tirunelveli

Madurai Branch(+91 8925831828): Digital Marketing Training in Madurai

Benefits of Learning Digital Marketing

Career Advancement Opportunities: The skill set required in digital marketers is sought after in various sectors, thus providing various options and opportunities for upward mobility. Earning a qualification in digital marketing opens oneself up to employment as a digital marketing manager, SEO specialist, content strategist, among others.
Comprehensive Skill Set: Digital marketing involves many abilities such as social media marketing, email marketing, search engine optimization (SEO), content marketing, and analytics. Learning these abilities makes you flexible and adds value in the labor market.
Increased Brand Awareness: The other advantage of digital marketing is that it enables effective creation of advertisements and campaigns targeted at enhancing brand awareness and recognition. Such platforms can help reach a bigger population and assist in the creation of effective online visibility.
Making Decisions Based on the Evidence: Analysis of data is another significant aspect of digital marketing. Understanding numbers and statistics allows you to optimize certain actions or strategies, and does so in a timely manner — within the course of a campaign.
Affordability of Marketing: The advent of digital marketing can be attributed to its cost-effective measures in reaching customers as opposed to the traditional means of advertisement. This means by learning digital marketing, one can effectively run a given budget on campaigns and still manage to get a bigger percentage on the returns on investment (ROI).

FAQ

What digital marketing topics are covered in the training program?

The training program covers a wide range of digital marketing topics, including but not limited to SEO, social media marketing, email marketing, content marketing, PPC advertising, analytics, and digital strategy development.

What are the prerequisites for enrolling in the digital marketing training program?

While no prior experience is required, a basic understanding of marketing concepts and familiarity with the internet and social media platforms can be beneficial. The program is designed to accommodate beginners as well as individuals with some marketing background.

What kind of professional support and guidance can I expect during the training?

Our experienced instructors provide personalized guidance and support to participants throughout the training program. This includes practical demonstrations, industry-relevant case studies, and individualized feedback to ensure a comprehensive learning experience.

Are there any post-training support or job placement assistance provided by Getin Technologies?

Upon successful completion of the program, participants may access job placement assistance, industry networking opportunities, and career guidance sessions to help them transition into the digital marketing field.

Will I receive a certification upon completing the digital marketing training program?

Yes, participants who successfully complete the training program will receive a certification from Getin Technologies, validating their expertise in digital marketing concepts and techniques.