Overview of Html
Tags, Elements & Attributes
Form & Table Tags
Html Validation
Overview of CSS
Grid, Flexbox, Display
Position, Z-Index, Functions, Transition
Animations, !important, Gradient, 2D & 3D Transform
Why Tailwind
Tailwind Layout, Grid, Flexbox
Tailwind Tables, Effects & Hover
Tailwind Transition, Tranform & Animations.
Basics of Javascript
Functions & Oops concept
DOM Manipulation
Introduction to Ajax
API Fetching and Error handling API
Basics of React Js
Event Management & Collections
Hooks, Form & Routing
Redux & React toolkit
Basics of DBMS
Relational Modal, Functional Dependencies
Normalisation & File Organization
SQL Queries and Structure
Introduction to MongoDB
MongoDB Data Modelling
Indexing & Performance Optimization
Security in MongoDB
Basics of Node Js and About V8 Engine
REPL Concept
Zlib Module & Debugging
Server with Nodeman & Child Process
Configuration & Git-Hub Flow
Architectural Constraints
Rest API in Node Js
Introduction to Cloud Computing
Cloud Infrastructure
Cloud Storage
Virtualization & Programming Models
Blogging Platform
Stock Market Portfolio
Application for Food Delivery
E-Commerce Website
Overview of digital marketing
Evolution of digital marketing
Key digital marketing concepts
Digital marketing channels and platforms
Website fundamentals
User experience (UX) design
Website optimization for search engines (SEO)
Content management systems(CMS)
Introduction to social media platforms
Creating and optimizing social media profiles
Content strategy for social media
Social media advertising
Email marketing basics
Building and segmenting email lists
Creating effective email campaigns
Email marketing tools and analytics
Content marketing strategy
Content creation and curation
Blogging and content distribution
Measuring content marketing success
On-page and off-page SEO
Keyword research and analysis
SEO tools and best practices
SEO metrics and reporting
Introduction to PPC advertising
Google Ads and Bing Ads
Ads campaign setup and management
Ads copywriting and landing page optimization
Facebook Ads
Instagram Ads
Twitter Ads
LinkedIn Ads
Content management systems (CMS)
Marketing automation tools
Creating automated marketing workflows
A/B testing and optimization
Web analytics tools (Google Analytics)
Social media analytics
Measuring ROI & KPIs
Data-driven decision-making
Mobile marketing strategies
App marketing
SMS and MMS marketing
Location-based marketing
Emerging trends in digital marketing
Artificial intelligence in marketing
Voice search and smart speakers
Augmented reality and virtual reality
Privacy and data protection(GDPR, CCPA)
Digital marketing ethics
Social responsibility in digital marketing
Social Media Strategies for Online Shopping Cart
Google Search Engine Marketing Case Study Analysis
Customer Satisfaction for a Digital Marketing Agency
Detailed SEO Audit of a Website
Basics of Python
Data Structure
Functions
Oops Concept
Arrays in NumPy
Iterations on Array
Operations on Array
Series in Panda
Data Frames
Operations on Data
Data Input/Output
Libraries concept
Grid concept
Diagram & Charts
Data as objects
Joins in Data
Analyzing Dataset
Operations on Data
Algebra
Statistics
Probability
Calculus & Integration
Configuration & GITHUB Flow
Basics to Advance in Excel
Hierarchies, Filters & Modeling
Query & DAX Functions
Overview of Database
SQL Server
Schema & Keys
Operation with Excel Sheet
Work Flow of Machine Learning
Algorithms in Machine Learning
Types of Algorithms
Algorithms on Data Manipulation
Forecast E-commerce Sales
Analyze Airbnb Listings
Build a Movie Recommender System
Real-time license plate recognition
Next is you
No prior knowledge required
You can learn Anything, Anywhere, Anytime
We'll help you get started and be there when you have questions
You will learn and practice through the Mock Interviews
You can download anything from our platform
You will get proper Career & Placement Assistance at our Platform
You will learn multiple concept through real time projects
You will get QualifyEd certificate from our platform
You will get the proper mentorship at QualifyEd
Still in doubt! read this
Our Data Science Placement Course is a comprehensive training program designed to equip you with the skills and knowledge necessary for a successful career in data science. It includes practical projects, hands-on experience, and placement support to help you land your dream job.
This course is ideal for recent graduates, professionals looking to switch careers, or anyone with a strong interest in data science and a basic understanding of programming and mathematics.
The course covers a wide range of topics, including:
- Python programming
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- Machine learning
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The course duration is typically 6 months, depending on whether you choose the full-time or part-time option. The full-time program is more intensive, while the part-time option allows for more flexibility.
Basic knowledge of programming (preferably Python) and mathematics is recommended. However, we provide pre-course materials to help you get up to speed if needed.
You will work on real-world projects and case studies that simulate actual industry scenarios. These projects will help you apply the concepts you learn and build a strong portfolio.
We offer comprehensive placement support, including:
- Resume building and review
- Interview preparation and mock interviews
- Networking opportunities with industry professionals
- Job referrals and placement assistance