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Digital Analytics Training

About Digital Analytics Training 

Getin Technologies offering Digital Analytics Training with robust curriculum designed to master the art of data analysis in the digital landscape. The course includes comprehensive modules on tools like WordPress, AdWords, Facebook Ads, CRM, Google Analytics and Google Search Console, alongside data visualization Power BI techniques. Through hands-on projects and case studies, students gain practical experience that bridges the gap between theory and real-world application. Emphasizing job readiness, Getin Technologies also provides dedicated placement support to help graduates secure roles in leading companies.

100% Placement

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

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 Analytics 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 Analytics.

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 Analytics field.

Earn a Digital Analytics Certificate

Get certified in Digital Analytics and master data-driven marketing strategies. Learn to track, analyze, and optimize campaigns using Google Analytics and other tools. Gain expertise in website traffic analysis, conversion tracking, and performance optimization. Enhance your career with an industry-recognized certification from Getin Technologies.

Languages/Tools Covered

WordPress

Web Analytics

CRM

SQL

Elementor

Semrush

PowerBI

Machine Learning

Python

Tableau

Wp Bakery

Ahrefs

Google Search Console

Mailchimp

LinkedIn

Whatsapp

Facebook

Twitter

Digital Analytics Training Fresher Module (2023, 2024, 2025 Passout)

Digital Analytics Training - Year Gap & Experienced (2010 - 2022 Passout)

Get Quote

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 31826

Digital Analytics Course Syllabus

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
  • WooCommerce Plugin
  • Website Speed up Process
  • Core Web Vitals

Introduction of Digital Marketing

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

About Search Engine

  • How does the search engine work?
  • Google Algorithms
  • Major & Minor Algorithm Updates
  • Panda, Penguin, Rank Brain, Hummingbird, Core Update
  • 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 pricing structure
  • 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

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

Conversion Tracking:

  • Google Tag Manager
  • Microsoft Clarity Tool

1. Power BI Fundamentals:

  • Overview of Power BI
  • Power BI Components
  • Understanding the Power BI Workflow
  • Installing Power BI Desktop
  • Introduction of Power BI Interface

2. Data Sources:

  • Connecting to Data Sources
  • Importing Data from Various Sources – Excel, CSV, PDF, MySQL, JSON, Folders, and Web
  • Understanding Data Connectivity Modes – Import Mode
  • Understanding Data Connectivity Modes – Direct Query Mode

3. Data Cleaning (Power Query Editor):

  • Creating Custom Columns in Power Query
  • Managing and Splitting Columns
  • Reducing Rows in Power Query
  • Applied Steps and Error Handling
  • Transforming Unstructured Data
  • Exploring Transform Menu Options
  • Pivoting Data in Power Query
  • Unpivoting Columns
  • Transforming Text, Numbers, Dates, and Times
  • Filtering and Sorting Data in Power Query
  • Grouping Data in Power Query
  • Merging Queries in Power Query
  • Appending Queries in Power Query
  • Removing Duplicate Rows in Power Query
  • Creating Conditional Columns and Custom Logic
  • Using Group By for Data Aggregation
  • Extracting Data from JSON and XML Sources
  • Applying Date and Time Functions in Power Query
  • Creating and Using Query Parameters
  • Data Profiling and Quality Control in Power Query

4. Data Modelling:

  • What is Data Modeling and Why is it Important?
  • Key Concepts in Data Modeling – Tables, Relationships, Measures, Columns, and Schema Types
  • Understanding Entities – Dimension Tables & Fact Tables
  • Exploring Data Relationships
  • Creating Relationships (Cardinality) in Power BI with Real-World Examples
  • Establishing a One-to-One Relationship
  • Establishing a One-to-Many Relationship
  • Establishing a Many-to-Many Relationship
  • Cross Filter Direction
  • Best Practices for Managing Relationships
  • Data Models
  • Gaining insight into Flat or Denormalized Structures with a real-life example
  • Exploring the Star Schema with an actual use case
  • Understanding the Snowflake Schema with a real-world illustration
  • Normalization & Denormalization
  • Understanding How to Normalize Real-Time Data

5. DAX – Data Analysis Expression:

  • Introduction to DAX (Data Analysis Expressions)
  • Overview of DAX and its role in Power BI, Power Pivot
  • Purpose of DAX for creating custom calculations, aggregations, and enhancing data models.
  • DAX Syntax and Functions
  • Structure and syntax of DAX formulas.
  • Commonly used DAX functions and operators.
  • Creating Calculated Columns and Measures
  • Differences between Calculated Columns and Measures.
  • How to create Calculated Columns and Measures in Power BI.
  • Performing Basic Calculations with DAX
  • Basic arithmetic operations and common aggregation functions: SUM, AVERAGE, MIN, MAX.
  • Calculating totals and averages using DAX.
  • Measures vs. Calculated Columns: Key Differences
  • Static calculations in Calculated Columns vs. dynamic, context-based calculations in Measures.
  • When to use one over the other.
  • Aggregation Functions in DAX
  • Key aggregation functions: SUM, COUNT, AVERAGE, DISTINCTCOUNT, COUNTROWS.
  • Aggregating data at different levels of detail.
  • Logical Functions in DAX
  • Conditional logic with IF, SWITCH.
  • Complex logical expressions and handling multiple conditions.
  • Time Intelligence in DAX
  • Year-over-Year (YoY) comparisons, running totals, and other date-based calculations.
  • Time Intelligence functions: SAMEPERIODLASTYEAR, TOTALYTD, DATESYTD, etc.
  • Advanced DAX Functions
  • CALCULATE, FILTER, and ALL functions for modifying filter context and performing advanced calculations.
  • Using these functions for complex scenarios and calculations.
  • Context in DAX
  • Row Context: Row-wise calculations and iteration.
  • Filter Context: Impact of filters applied in reports on DAX calculations.
  • Iterators in DAX
  • functions like SUMX, AVERAGEX, MINX, MAXX for row-wise calculations
  • Using iterators to perform calculations across tables.

6. Visualization:

  • Overview of Data Visualization
  • Types of Visuals
  • Bar Charts: Comparing data across different categories.
  • Line Charts: Displaying trends over time.
  • Pie Charts: Representing proportions or percentages of a whole.
  • Column Charts: Displaying data comparisons across categories (vertical bars).
  • Scatter Plots: Showing relationships or correlations between two variables.
  • How Power BI Handles Data Visuals
  • Formatting Visuals
  • On-object Interaction: Using interactive elements like filters and slicers.
  • Font and Font Size: Customizing text appearance in visuals for better readability.
  • Colors and Stylistic Options: Personalizing visuals through color schemes, themes, and styles to enhance user experience.
  • Scatter Charts and Bubble Charts
  • Customizing Visuals
  • Advanced Filtering
  • Hierarchies, Drill-Downs, and Conditional Formatting
  • Matrices and Bar Charts
  • Tree Maps and Funnel Charts
  • Maps and Geo-Data Visualizations
  • Key Performance Indicator (KPI) Dashboard
  • Drill Through and Drill-Down Visualizations
  • Time-Based Visualization
  • AI Visuals in Power BI – Decomposition Tree, Key Influencers Visual & Q&A Visual

7. Power BI Service

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

1. Introduction to Shopify  

  • What is Shopify? 
  • Key Features and Benefits of Shopify 
  • Overview of Shopify Dashboard and Interface 
  • Setting Up Your First Shopify Store 

 2. Shopify store setup and design  

  • Choosing and Customizing Shopify Themes 
  • Understanding Shopify Store Structure (Home Page, Collections, Products) 
  • Adding Products, Product Variants, and Collections 
  • Designing Your Store with Shopify’s Drag-and-Drop Editor 

 3. Shopify payment and store configuration  

  • Setting Up Payment Gateways and Methods 
  • Managing Taxes, Shipping, and Delivery Options 
  • Configuring Store Settings (Currency, Notifications, etc.) 
  • Setting Up Legal Pages (Privacy Policy, Terms & Conditions) 

 4. Shopify marketing and sales tools 

  • Creating Discount Codes and Promotions 
  • Integrating Social Media and Shopify’s Marketing Tools 
  • Setting Up Google Analytics and Tracking Sales 
  • Email Marketing with Shopify Email 

5. Shopify apps and Integrations 

  • Adding and Managing Shopify Apps for Enhanced Functionality 
  • Integrating Third-Party Apps for Marketing, Accounting, and Inventory 
  • Automating Tasks with Shopify Flow and other Apps 

 6. Shopify ecommerce Analytics 

  • Understanding Shopify Analytics and Reporting 
  • Tracking Sales, Visitors, and Conversion Rates 
  • Using Data Insights for Improving Sales and Customer Retention 
  • Understanding Shopify’s Performance Metrics 

 7. Shopify mobile optimization 

  • Ensuring Your Shopify Store is Mobile-Responsive 
  • Customizing Your Store’s Mobile Experience 
  • Using Shopify’s Mobile App for Store Management 

 8. Shopify SEO customization 

  • Optimizing Your Shopify Store for Search Engines 
  • Managing Meta Tags, Product Descriptions, and SEO Settings 
  • Creating SEO-Friendly URLs and Product Pages 
  • Implementing Structured Data for Rich Results

9. Shopify advance customization  

  • Using Liquid to Customize Shopify Themes 
  • Advanced Product Page Customization 
  • Editing Shopify Templates and Sections 
  • Working with Custom Code (HTML, CSS, JavaScript) 

10. Final project   

  • Launching a Fully Functional Shopify Store 
  • Final Project: Creating and Launching a Store in Your Niche 

HTML Essentials (Days 1-3)

Day 1: HTML Basics & Structure

  • Introduction to web development
  • Setting up VS Code and live server
  • HTML document structure
  • Headings, paragraphs, line breaks
  • Lists, links, images

Day 2: HTML Layout & Forms

  • Grouping elements: <div>, <span>
  • Tables: structure and use
  • Form elements: <input>, <label>, <button>, <textarea>, <select>

Day 3: Semantic HTML & Accessibility

  • Semantic tags: <header>, <nav>, <main>, <footer>
  • Accessibility principles: alt text, labels, proper structure
  • HTML validation and formatting best practices

CSS Foundations (Days 4-6)

Day 4: CSS Basics

  • Syntax, selectors, comments
  • Color, font, and text styling
  • Applying CSS (inline, internal, external)

Day 5: Box Model & Visual Styling

  • Box model: padding, margin, border
  • Display types: block, inline, inline-block, none
  • Width, height, background properties

Day 6: Flexbox, Grid & Animations

  • Flexbox layout: display: flex, justify-content, align-items
  • CSS Grid basics: grid-template-columns, grid-gap, grid-area
  • CSS transitions and keyframe animations

JavaScript Fundamentals (Days 7-15)

Day 7: JavaScript Introduction

  • Script tag, console, debugging
  • Variables (let, const), data types

Day 8: Operators & Conditionals

  • Arithmetic, comparison, logical operators
  • if, else, switch statements

Day 9: Loops & Control Flow

  • for, while, do…while
  • Loop control: break, continue

Day 10: Functions

  • Declaring and calling functions
  • Parameters, return values
  • Function scope

Day 11: Arrays & Objects

  • Creating and accessing arrays/objects
  • Basic array methods (push, pop, length)
  • Object properties and access

Day 12: DOM Manipulation

  • Selecting elements (getElementById, querySelector)
  • Modifying content and styles

Day 13: Event Handling

  • addEventListener
  • Handling form input, clicks, and user interactions

Day 14: JavaScript Destructuring

  • Array and object destructuring
  • Nested destructuring
  • Function parameter destructuring

Day 15: JavaScript Modules (ES6)

  • export, import syntax

If you want to Customize the Course Syllabus for Digital Analytics, Call us to  +91 89258 31826

If you want to Group Discount for Digital Analytics, Call us to  +91 89258 31826

Who Can get Placements through Digital Analytics Course ?

Freshers (2023 - 2025)

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

Career Gap (2010 - 2024)

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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School Student Offer

offer30% 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

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 Students Placed Companies

Getin Technologies Digital Analytics Trainer Profile:

At Getin Technologies, our Digital Analytics trainers are seasoned professionals with extensive industry experience and a passion for teaching. Each trainer possesses a solid background in analytics, equipped with in-depth knowledge of tools like Google Analytics, Adobe Analytics, and more. With advanced certifications and hands-on expertise, they bring real-world insights to the classroom, enriching the learning experience.

Key Highlights:

  1. Industry Experience: Our trainers have worked in various sectors, including e-commerce, marketing, and data analysis, bringing diverse perspectives to the training sessions.
  2. Certifications: They hold certifications in leading analytics platforms, ensuring that students receive up-to-date instruction on industry-standard tools.
  3. Practical Approach: Emphasizing hands-on learning, our trainers guide students through real-world case studies and projects, imparting practical skills alongside theoretical knowledge.
  4. Personalized Guidance: Our trainers offer individualized support and mentorship, addressing each student’s unique learning needs.
  5. Job Placement Assistance: Committed to student success, our trainers provide comprehensive assistance with resume building, interview preparation, and networking to help graduates secure rewarding roles in the analytics field.

At Getin Technologies, our Digital Analytics trainers are dedicated to empowering students with the skills and confidence to excel in today’s data-driven world.