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Digital Marketing Training in Madurai

Digital Marketing Training in Madurai

Looking for quality Digital Marketing Training in Madurai? Look no further than Getin Technologies Digital Marketing in Madurai! As a leading provider of training programs, we have developed this course to give you much more than the basic knowledge of what digital marketing is. Be it a novice who wants to learn the ropes or an expert seeking to hone her skills, our training has something for all levels. At Getin Technologies, we place emphasis on learn by doing. One will learn key topics like search engine optimization (SEO), social media marketing, content writing, email marketing and analytics. A team of professional trainers will take you through various projects giving you the opportunity to implement concepts and create an impressive portfolio.

Our classes are two-way interactions and group work is encouraged so as to create a pool of prospective marketers. You will also be provided with up-to-date facilities, which include modern digital marketing equipment for practical purpose, preparing you for the real market. Join us at Getin Technologies Digital Marketing Training in Madurai and proceed with your career in digital marketing. You have the ability to do this by learning how to convert what you love into a market friendly and profitable venture!

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 Madurai

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.

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.

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   Contact No: +91 89258 31828

Digital Marketing Training in Madurai Module 1

Digital marketing Training

Digital Marketing Training in Madurai Module 2

Digital Marketing Course 2

Digital Marketing Training in Madurai Module 3

Digital Marketing Course 3

Digital Marketing Course Syllabus

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

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

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

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

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.

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

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

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    +91 8925831828

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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

Offer20% 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

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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.

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