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Fundamentals of Data Science
Learn Python and data science foundations. Master programming basics, data analysis, visualization, and machine learning essentials in 90 days.
Fundamentals of Data Science
Comprehensive Syllabus Outline
A comprehensive curriculum designed to take you from beginner to professional.
Capstone Project
Foundational Data Analytics Portfolio
Apply core data science concepts to explore, clean, analyze, and visualize datasets using Python and industry-standard analytics libraries.
Tech Stack
Master the primary professional software development packages and workflow tools.
After this Course, You will be Able to
Observe the real-world utility outcomes you gain after program completion.
Course Stats
₹10.5 LPA
Average Salary₹38 LPA
Highest Salary120%
Salary Hike9,500+
Job VacanciesKey Features
Mentorship
Receive guidance and insights from industry expertsHands-on Experience
Gain practical skills in a real-world cutting-edge projects.Networking
Connect with professionals and peers in your fieldSkill Development
Enhance your technical and soft skillsCareer Advancement
Boost your resume with valuable experienceDual Certificate
Get a certification to showcase your achievementsLet 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.
Where Our Learners Work
Our alumni are driving innovation at the world's most prestigious technology companies.
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
What Our Students Say
See how Pantech courses accelerated career transitions across India.
Student Pantech
VERIFIED LEARNERStudent Pantech
VERIFIED LEARNERGet exclusive lifetime access to coursework, simulators, custom templates, and direct placement opportunities.
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+91 8925533488/89
Frequently Asked Questions
Find instant answers to all common questions about our technical certificate courses.
No prior experience is required for foundational courses. Advanced modules may recommend basic knowledge in programming or electronics.
You can reach our support team at training@pantechelearning.com or call +91 89255 334 88 / +91 89255 334 89.
You’ll cover Python and data science foundations, including programming basics, data analysis, visualization, and machine learning essentials. You’ll gain hands‑on experience with libraries such as NumPy, Pandas, Matplotlib, and Scikit‑Learn.
The program includes 3 structured modules, designed to be completed within 90 days with guided project work.
Yes, upon completion you’ll receive a verified certification from Pantech eLearning, which can be shared on LinkedIn and with employers.
The Python and Data Science Foundations course is available for ₹799, inclusive of all modules and certification.
Yes, you’ll apply your skills in a guided data science mini‑project to reinforce concepts and demonstrate practical learning outcomes.
Absolutely. Once enrolled, you’ll have lifetime access to the course videos, notes, and resources.
Learners gain experience with Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook, and Anaconda.
Yes. Learners work on data cleaning, exploratory data analysis, visualization tasks, and Python-based analytical exercises that build a strong foundation for future data science projects.
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