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Start the Journey of your Dream job In
Data Science

Data Science

Course Modules

Module 1: Introduction to HTML

Overview of Html

Tags, Elements & Attributes

Form & Table Tags

Html Validation

Module 2: Introduction to CSS

Overview of CSS

Grid, Flexbox, Display

Position, Z-Index, Functions, Transition

Animations, !important, Gradient, 2D & 3D Transform

Module 3: Introduction to Tailwind

Why Tailwind

Tailwind Layout, Grid, Flexbox

Tailwind Tables, Effects & Hover

Tailwind Transition, Tranform & Animations.

Module 4: Programming in JavaScript

Basics of Javascript

Functions & Oops concept

DOM Manipulation

Introduction to Ajax

API Fetching and Error handling API

Module 5: About JavaScript Library - React Js

Basics of React Js

Event Management & Collections

Hooks, Form & Routing

Redux & React toolkit

Module 6: Database Management

Basics of DBMS

Relational Modal, Functional Dependencies

Normalisation & File Organization

SQL Queries and Structure

Module 7: No-SQL Databse Management - MongoDB

Introduction to MongoDB

MongoDB Data Modelling

Indexing & Performance Optimization

Security in MongoDB

Module 8: Introduction to Node Js

Basics of Node Js and About V8 Engine

REPL Concept

Zlib Module & Debugging

Server with Nodeman & Child Process

Module 9: Basics of GIT/GITHUB

Configuration & Git-Hub Flow

Module 10: API Integration - Rest API or Json API

Architectural Constraints

Rest API in Node Js

Module 11: Fundamentals of Cloud Computing

Introduction to Cloud Computing

Cloud Infrastructure

Cloud Storage

Virtualization & Programming Models

Project based on Full Stack

Blogging Platform

Stock Market Portfolio

Application for Food Delivery

E-Commerce Website

Course Modules

Module 1: Introduction to Digital Marketing

Overview of digital marketing

Evolution of digital marketing

Key digital marketing concepts

Digital marketing channels and platforms

Module 2: Website Essentials

Website fundamentals

User experience (UX) design

Website optimization for search engines (SEO)

Content management systems(CMS)

Module 3: Social Media Marketing

Introduction to social media platforms

Creating and optimizing social media profiles

Content strategy for social media

Social media advertising

Module 4: Email Marketing

Email marketing basics

Building and segmenting email lists

Creating effective email campaigns

Email marketing tools and analytics

Module 5: Content Marketing

Content marketing strategy

Content creation and curation

Blogging and content distribution

Measuring content marketing success

Module 6: Search Engine Optimization (SEO)

On-page and off-page SEO

Keyword research and analysis

SEO tools and best practices

SEO metrics and reporting

Module 7: Pay-Per-Click Advertising

Introduction to PPC advertising

Google Ads and Bing Ads

Ads campaign setup and management

Ads copywriting and landing page optimization

Module 8: Social Media Advertising

Facebook Ads

Instagram Ads

Twitter Ads

LinkedIn Ads

Module 9: Content Management

Content management systems (CMS)

Marketing automation tools

Creating automated marketing workflows

A/B testing and optimization

Module 10: Analytics & Data-Driven Marketing

Web analytics tools (Google Analytics)

Social media analytics

Measuring ROI & KPIs

Data-driven decision-making

Module 11: Mobile Marketing

Mobile marketing strategies

App marketing

SMS and MMS marketing

Location-based marketing

Module 12: Industry & Emerging Technologies

Emerging trends in digital marketing

Artificial intelligence in marketing

Voice search and smart speakers

Augmented reality and virtual reality

Module 13: Legal & Ethical Considerations

Privacy and data protection(GDPR, CCPA)

Digital marketing ethics

Social responsibility in digital marketing

Projects based on 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

Course Modules

Module 1: Introduction to Python

Basics of Python

Data Structure

Functions

Oops Concept

Module 2: Introduction to NumPy

Arrays in NumPy

Iterations on Array

Operations on Array

Module 3: Fundamentals of Pandas

Series in Panda

Data Frames

Operations on Data

Data Input/Output

Module 4: Introduction to Matplotlib

Libraries concept

Grid concept

Diagram & Charts

Module 5: Data Manipulation & Operations

Data as objects

Joins in Data

Analyzing Dataset

Operations on Data

Module 6: Mathematics in Data Science

Algebra

Statistics

Probability

Calculus & Integration

Module 7: Basics of GIT/GITHUB

Configuration & GITHUB Flow

Module 8: About Excel & Power BI

Basics to Advance in Excel

Hierarchies, Filters & Modeling

Query & DAX Functions

Module 9: Databases (SQL Learning)

Overview of Database

SQL Server

Schema & Keys

Operation with Excel Sheet

Module 10: Machine Learning

Work Flow of Machine Learning

Algorithms in Machine Learning

Types of Algorithms

Algorithms on Data Manipulation

Project based on Data Science

Forecast E-commerce Sales

Analyze Airbnb Listings

Build a Movie Recommender System

Real-time license plate recognition

500+ Hiring Partners waiting for you
1200+ QualifyEd Students got their dream job
Let's hear them ...

QualifyEd not only helped me sharpen my Digital marketing skills but also connected me with incredible opportunities. The placement support was phenomenal, and now I'm thriving as a Digital Marketing Manager at IBM. I'm grateful for the invaluable experience and knowledge gained through QualifyEd.

Enrolling in QualifyEd's placement program was a game-changer for me. The personalized guidance and industry-focused curriculum prepared me for the real-world challenges. Today, I'm thriving as a Software Engineer at Capgemini, and I owe a huge thanks to QualifyEd for paving the way to my success.

I can't thank QualifyEd enough for the incredible journey. The hands-on training and mentorship played a pivotal role in shaping my career. Today, I'm making a real impact as a Data Scientist at Mu sigma. QualifyEd is not just an education provider, it's a career catalyst.

Choosing QualifyEd was one of the best decisions I made for my career. The placement program was a perfect blend of theory and practical skills. The result? I'm now a UX/UI Designer at Ericsson, turning my passion into a profession. Thank you, QualifyEd, for making my dreams a reality

The QualifyEd placement program exceeded my expectations. The industry-relevant curriculum, coupled with expert guidance, propelled me into a fulfilling career as a Data Analyst at Absolutdata. Grateful for the skills acquired and the doors QualifyEd opened for me.

Live Classes Algorithmic Thinking Live Classes
1:1 Mentor C/C++ 1:1 Mentor
Qualifyed Resume C/C++ Qualifyed Resume
C/C++ 24x7 Doubt Solving
C/C++ Real Time Projects
C/C++ Mock Interview
 QualifyEd On the Globe
100+  QualifyEd students have been placed abroad

Next is you

What's included for 8 months

Beginner friendly

No prior knowledge required

Live Online Classes

You can learn Anything, Anywhere, Anytime

24x7 Doubt Support

We'll help you get started and be there when you have questions

Mock Interviews

You will learn and practice through the Mock Interviews

Downloadable Content

You can download anything from our platform

Career & Placement
Assistance

You will get proper Career & Placement Assistance at our Platform

Real-Time Projects

You will learn multiple concept through real time projects

Certification

You will get QualifyEd certificate from our platform

1:1 Mentorship

You will get the proper mentorship at QualifyEd

Start your journey in Data Science ↓



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Project Based Training
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Beginner To Expert Level
Training


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  • Demo Class 16th Aug
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  • Batch Allotment 18th Aug
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  • Batch Start 20th Aug
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Still in doubt! read this

for_FAQ_image

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
- Data visualization
- Statistical analysis
- Machine learning
- Deep learning
- Big data technologies
- Data wrangling and preprocessing

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

Graduates of our Data Science Placement Course can pursue various roles, such as Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, Business Analyst, and more.

We have a 100% success rate, with many of our graduates securing jobs in top companies across various industries. Specific statistics can be shared during the information session.

You can apply for the course by visiting our website and filling out the application form. Our admissions team will review your application and get in touch with you for the next steps.

Placement assistance is included in the course fee. There are no additional charges for the support provided during the job placement phase.

Yes, upon successful completion of the course and projects, you will receive a certification from QualifyEd, which is recognized by employers in the industry.

Yes, we offer both online and in-person training options to suit your convenience and learning preferences.

For more information, you can contact our support team via email at admissions@qualifyed.in or call us at 8901-99-55-33. You can also attend one of our free information sessions.

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