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Advanced Data Science and Applications

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Learn advanced data science projects and applications. Master predictive analytics, NLP, computer vision, and real-world deployment in 90 days.

3 Modules
with Certifications
4:35 Hours
of Recorded Content
5.0 Ratings
by 2670 Learners
English
Language
Paid Course
Get this Course @ ₹799
2670 enrolled in this course

Advanced Data Science and Applications

Take your data science expertise to the next level with this specialist-level program focused on advanced machine learning and practical AI applications. The course combines predictive analytics, supervised and unsupervised learning techniques, and deep learning projects to help learners build production-ready solutions. Through multiple case studies and hands-on implementations, participants will develop expertise in solving complex business challenges such as credit scoring, stress prediction, social media analytics, energy forecasting, groundwater analysis, and intelligent AI systems. By the end of the course, learners will possess the practical skills required to build scalable data-driven applications and showcase professional portfolio projects.
MASTERING THE DATA SCIENCE LIFECYCLE

Comprehensive Syllabus Outline

A comprehensive curriculum designed to take you from beginner to professional.

M1

Module 1 — Applied Machine Learning Techniques

Building Supervised Learning Models for Regression and Classification Problems
Applying Unsupervised Learning Techniques for Data Clustering and Pattern Discovery

M2

Module 2 — Predictive Analytics Case Studies

Credit Score Classification using Machine Learning Models
Stress Level Prediction using Machine Learning and Behavioral Data
Social Media Advertisement Response Classification using Predictive Analytics
Electricity Price Forecasting using Machine Learning Models
Groundwater Level Prediction using Data-Driven Machine Learning Techniques

M3

Module 3 — AI and Deep Learning Applications

Driver Drowsiness Detection using Computer Vision and Deep Learning
Customer Churn Analysis and Retention Prediction using Data Science
Building an Intelligent Chatbot using Natural Language Processing

Capstone Project

Advanced Predictive Analytics and AI Portfolio

The capstone focuses on synthesizing your knowledge to build a robust portfolio of eight high-impact projects that demonstrate end-to-end expertise in machine learning and AI.

Financial Risk Assessment
PROJECT

Financial Risk Assessment

A functional Credit Score Classification System.

Healthcare Diagnostic Model
PROJECT

Healthcare Diagnostic Model

A Stress Prediction engine using biometric data.

Market Targeting Engine
PROJECT

Market Targeting Engine

A Social Media Ads Classification system for ROI optimization.

Energy Forecasting Tool
PROJECT

Energy Forecasting Tool

An Electricity Price Prediction model for utility markets.

Environmental Intelligence
PROJECT

Environmental Intelligence

A Ground Water Level Prediction system using spatial data.

Vision-Based Safety AI
PROJECT

Vision-Based Safety AI

A Drowsiness Detection system built with Deep Learning.

Retention Dashboard
PROJECT

Retention Dashboard

A Customer Churn Analysis platform with actionable insights.

Conversational AI
PROJECT

Conversational AI

An intelligent Chatbot application using NLP techniques.

CORE TOOLING MASTERY

Tech Stack

Master the primary professional software development packages and workflow tools.

Python
Scikit-learn
Pandas
NumPy
Matplotlib
Seaborn
Jupyter Notebook
Deep Learning Frameworks
NLP Libraries
Statistical Models
Career Impact

After this Course, You will be Able to

Observe the real-world utility outcomes you gain after program completion.

Design and implement production-grade supervised and unsupervised machine learning models.
Develop specialized predictive analytics solutions for high-stakes sectors like finance and healthcare.
Build end-to-end computer vision systems, specifically for real-time drowsiness detection.
Architect and deploy intelligent AI chatbots using natural language processing (NLP).
Analyze and mitigate customer churn through advanced retention modeling and business intelligence.
Leverage energy and environmental datasets to create accurate forecasting and sustainability models.
Present a professional-grade portfolio of 8 unique AI projects to top-tier technical recruiters.

Course Stats

₹12.35 LPA

Average Salary

₹42 LPA

Highest Salary

135%

Salary Hike

7+ Companies

Hiring Partners

Key Features

Mentorship

Receive guidance and insights from industry experts

Hands-on Experience

Gain practical skills in a real-world cutting-edge projects.

Networking

Connect with professionals and peers in your field

Skill Development

Enhance your technical and soft skills

Career Advancement

Boost your resume with valuable experience

Dual Certificate

Get a certification to showcase your achievements
DIGITAL VERIFIABLE CREDENTIAL

Let Your Certificates Speak For You

Our certification formally validates your skill set in recruiter searches with unique QR code verification and LinkedIn-ready structures.

Unique Credential ID & QR Code
Recruiters can scan to instantly verify your project files, source repository, and official completion marks.

Linkedin Certified Recognition
Easily push to your Linkedin profile with 1-click credential linking to increase high-end corporate recruiter views.

Certificate Sample
Status
Verified

Where Our Learners Work

Our alumni are driving innovation at the world's most prestigious technology companies.

Flipkart
Freshworks
Juspay
Chargebee
Zoho
PayPal
PREMIER PLATFORM EXPERIENCE

Why Pantech?

An expert-crafted learning infrastructure built for technical fluency.

Industrial Expert Mentors

Direct guidance and weekly doubt clearing sessions hosted by hardware, embedded, and software engineering veterans.

24/7 Interactive Support

Ask coding doubts anytime on our student community workspace and receive instant assistance.

Self-Paced Learning Engine

Access lifetime recorded modules with adaptive pacing to balance academics and professional work.

Career Guidance Support

Exclusive resume review, mock interviews, and placement assistance from industry experts.

We are Accredited by

Our Awards & Achievements
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VERIFIED STUDENT REVIEWS

What Our Students Say

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Get exclusive lifetime access to coursework, simulators, custom templates, and direct placement opportunities.

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HAVE QUESTIONS?

Frequently Asked Questions

Find instant answers to all common questions about our technical certificate courses.

1. Do I need prior experience?

No prior experience is required for foundational courses. Advanced modules may recommend basic knowledge in programming or electronics.

2. What if I face technical issues?

You can reach our support team at training@pantechelearning.com or call +91 89255 334 88 / +91 89255 334 89.

3. What will I learn in this course?

You’ll cover advanced data science projects and applications, including predictive analytics, natural language processing (NLP), computer vision, and real‑world deployment strategies. You’ll also gain hands‑on experience with end‑to‑end workflows, from data preprocessing to model deployment.

4. How long is the course?

The program includes 3 structured modules, designed to be completed within 90 days with guided project work.

5. Will I get a certificate?

Yes, upon completion you’ll receive a verified certification from Pantech eLearning, which can be shared on LinkedIn and with employers.

6. What is the course fee?

The Advanced Data Science Projects and Applications course is available for ₹2,499, inclusive of all modules and certification.

7. Is there any project work included?

Yes, you’ll apply your skills in real‑world projects covering predictive analytics, NLP, and computer vision, with deployment to production environments.

8. Can I access the course materials anytime?

Absolutely. Once enrolled, you’ll have lifetime access to the course videos, notes, and resources.

9.Is this course suitable for beginners?

No. This is a specialist-level course intended for learners who already have a foundation in Python programming and machine learning concepts.

10.Will I build real-world projects?

Yes. The course includes multiple hands-on predictive analytics and AI projects covering finance, healthcare, environmental analytics, and intelligent automation.

11.Which tools will I learn?

You will work with Python, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook, and modern machine learning and deep learning libraries.

12.Does this course include deep learning?

Yes. The curriculum introduces deep learning through practical applications such as drowsiness detection and AI chatbot development.

13.Can I use these projects in my portfolio?

Absolutely. The projects are designed to demonstrate practical industry skills and can be showcased during placements, interviews, and freelance opportunities.

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