Digital Marketing Training in Tirunelveli

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