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Advanced Data Science Projects 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.

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₹2,499
3 Modules
with Certifications
16:00 Hours
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Advanced Data Science Projects and Applications Course
Overview

This Specialist-level course focuses on advanced data science methodologies and their application to real-world business and industry challenges. Learners will explore supervised learning techniques for regression and classification, as well as unsupervised learning methods such as clustering for pattern discovery and customer segmentation. The curriculum includes hands-on projects involving credit score classification, stress prediction, social media advertisement analysis, electricity price forecasting, and groundwater level prediction, providing practical experience with predictive analytics and decision-making systems. The course further extends into advanced AI applications, including deep learning-based drowsiness detection, customer churn analysis, and intelligent chatbot development. Through project-driven learning, participants will gain expertise in data preprocessing, model development, performance evaluation, and deployment-ready analytical solutions. By the end of the course, learners will be equipped to design, develop, and implement advanced data science applications that address complex business, environmental, and AI-driven challenges across multiple industries.

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

We are Accredited by

Our Awards & Achievements
Award 1

Advanced Data Science Projects and Applications Course Roadmap

01
Module 1

Module 1 — Machine Learning Models

Supervised learning Regression and Classification - Model
Unsupervised learning Clustering
02
Module 2

Module 2 — Classification and Prediction Projects

Credit Score Classification
Stress prediction using Machine Learning
Social Media Ads Classification
Electricity price prediction
Ground water level prediction
03
Module 3

Module 3 — Deep Learning and AI Applications

Drowsiness Detection System
Churn Analysis in Data Science

Let Your Certificates Speak

Certificate Preview
Shareable on LinkedIn
  • Certificates are globally recognized & they upgrade your programming profile.
  • Certificates are generated after the completion of course.

After this Course, You will be Able to

  • Grasp FPGA architecture and microcontroller workings for advanced understanding
  • Build circuits, ranging from basic LEDs to intricate, sensor-driven projects
  • Master the HDL IDE, enabling proficient coding for real-world applications
  • Utilize breadboards and electronic components with precision for efficient circuitry
  • Create groundbreaking solutions by integrating sensors and motors innovatively
  • Explore diverse projects, from basic LEDs to complex motion-activated systems

Where Our Students Work

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

Flipkart
Freshworks
Juspay
Chargebee
Zoho
PayPal

All You Need to Start this Course

💻
A computer with internet connection
🧠
Willingness to learn new concepts

This is the Course for You, If You are

🎓
Students looking to upskill
💼
Working Professionals
🚀
Career changers seeking a pivot

Learners Reviews

"
User
Aditi Sharma
The step by step approach from basics to real time FPGA projects made the concepts crystal clear. I especially loved the UART implementation—it gave me confidence to handle hardware communication protocols.
"
User
Rahul
This course bridges the gap between theory and practice. Programming the MAX10 FPGA board and controlling GPIOs gave me the kind of exposure that’s directly useful for internships and entry level roles in VLSI design.
"
User
Priya Nair
I came in with only basic digital electronics knowledge. The way Verilog was introduced and gradually applied to sequential circuits and FSMs was perfect. By the end, I could write and test my own HDL codes on Quartus.

Still Having Doubts?

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.

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